Health data are exploding, expected to grow by 48 percent annually coming to 153 Exabyte in 2013, according to the report from EMC and the IDC research firm. If the trend continues (and there is no evidence that it will stop), this figure will swell to 2,314 Exabyte by 2020.
Imagine: “should all patient data be stored on stack of tablet computers, by the 2013 it will be 5,500 miles high. Seven years later, that tower would grow to more than 82,000 miles high, bringing you more than a third of the way to the moon!”
No human brain is able to cope with such an avalanche. There are about 10,000 known human diseases, yet doctors, squeezed between 10 minutes allocated per patient visit, are only able to recall a fraction of them at any given moment. To help providers to navigate and not to drown in the oceans of data Artificial Intelligence (AI) technology comes into the picture.
By analysing enormous amount of data (patient’s records, X-ray and images, endoscopies, even social networks, etc. within seconds, identifying repeatable patterns and learning from mistakes, this technology promises to extend (or in certain cases) surpass human intellectual capacities. Stanford researchers, e.g., were able to create an algorithm that is flagging abnormal readings from a standard ECG identifying heart conditions such as atrial fibrillation or complete heart blockage with greater sensitivity and precision than certified physicians. Researchers from Showa University in Japan can recognise bowel cancer in less than a second with 94 percent accuracy. More convincing evidences of AI advances are coming.
Healthcare system have to adjust to innovations. What fundamental changes can be expected?
One of the fundamental changes AI can bring to healthcare systems is the obliteration of the traditional European medicine. Medicine as the discipline focused on curing diseases primarily with the help of medication and interventive surgeries will dissolve in healthcare interpreted as an attempt to support healthy condition of each individual as long as possible. Technology can help physicians to proactively address human organism not as a sum of separate parts, but as an integrated system.
According to Epic Systems founder and CEO Judy Faulkner:” Artificial intelligence, machine learning, and big data analytics should help providers make sense of how different aspects of a patient connect to one another.”
Physicians who are treating patients suffering from complex diseases with multiple disorders know very well: curing each symptom does not always make a patient healthier. For instance, one can confine the cholesterol from rising above a certain level with statins, maintaining the systolic blood pressure under 130 mm Hg, restrict the glucose levels from rising beyond a prescribed level, but still more disturbing signs may appear. As if our body resisted to controlling various symptoms in order to signal systematic problems underlying clinical manifestation of the disease.
Cancer is one of the vivid examples of a systematic disease. One has to consider enormous amount of external and internal risk factors such as age, family history, radiation or pollution, bacteria or viruses, etc. to understand the origin of cells mutation.
The UK’s National Health Service (NHS) and Intel are working together to make cancer detection more efficient through AI. Initially focusing on the lung cancer, a team of scientists, hosted by the University of Warwick’s Tissue Image Analytics laboratory, have been creating a digital repository of known tumour and immune cells based on thousands of human tissue cells. The database of cancer information will then be used by algorithms to recognize these cells automatically.
Unlike traditional contemporary healthcare that are focused on sequential treatment of explicit clinical presentations of the disease, the future synthetic care might be able to look at the patient through holistic lenses analysing biological complexities of the whole organism, taking into account interaction of its subsystems and genetic patterns.
New generation of “smart patients” will appear. No more those “patient” patients submissively swallowing everything that doctor is prescribing them. Artificial intelligence might enable people not just to see their health data, but to understand them.
One can imagine in the future personal intelligent advisor, sort of “mini-Watson” on any kind of smart devices.
Applications teaching people to understand the complexity of health information are coming out.
The British subscription, online medical consultation and health service, Babylon launched an application which offers consumers medical consultation based on their personal medical history and professional medical expertise. Users report symptoms of their illness to the app, which checks them against a database of diseases using speech recognition. After taking into consideration the patient’s history and circumstances, Babylon offers an appropriate course of action.
Ada is another example of a personal health advisor developed by the Berlin and London based start up. Via a conversational interface it helps to specify symptoms suggesting information on what might be the cause of the disease. If needed, the application can recommend a remote consultation with a real doctor over text.
Upcoming sophisticated and more accurate sensor enabled devices supported by intelligent applications will gradually make patients into active and knowledgeable participants of care processes.
Robots will hardly wipe away physicians. So far, they are not possessing human qualities such as imagination, curiosity or empathy necessary to do a good job in healthcare.
According to Gartner’s research director, Manjunath Bhat “Robots are not here to take away our jobs, they’re here to give us a promotion. By 2020, artificial intelligence will generate 2.3 million jobs, exceeding the 1.8 million that it will wipe out. The public sector, healthcare and education are expected to benefit the most.”
Promotion means new responsibilities and higher demands. Being freed from routine operations, necessity to memorize a lot of details that machines can do better and faster, our doctors will have to augment their knowledge and skills to the new level. They have to be smarter to meet expectations of smarter patients. Those patients will require Value, and not just Services, meaning they want to feel themselves better after treatments, not just receiving it.
Think about diagnostics. World Health Organization (WHO) recently prioritized diagnostic errors in primary care as a high-priority.
”A study conducted in a high-income country found that approximately 5% of adults experienced diagnostic errors in outpatient settings each year. Over half of these errors had the potential for severe harm. Delays in diagnosing cancer are common. About 7% of abnormal test results are not communicated to patients, which can lead to a delay in diagnosis.”
AI technology can help physician to perform a pervasive diagnostic of individual’s health status. For example, by using immune system, our personal hundred-eyed Argus body guard. T-cells and B-cells are constantly scanning our entire organism encoding information about any damaging changes. Microsoft and Adaptive Biotechnologies, another US company, have recently partnered “to build a universal blood test that can screen for dozens or even hundreds of diseases at a time, all by decoding the information in your immune system.” If the project is a success, scientists and physicians will be able to detect almost any disease even before it reveals itself.
Our doctors will have to be able to navigate in multiple interdisciplinary areas. Imagine that a gastroenterologist is looking at the CT scan to check on the appendix, but the computer system has identified the nodule in the lung as well? Nobody can achieve a universal competence in any brunch of science, but one can learn fundamental principles. Hence the new medical education built on natural sciences will be required. After all, are humans not part of the Mother Nature and thus subjects of the same laws of physics, chemistry, biology as animated objects?
All living organisms obey the laws of thermodynamics. Principles of computational fluid dynamics (CFD), a mechanical engineering field for analysing fluid flow, heat transfer in fluids, and associated phenomena with the use of computer-based simulation, are already applied to diagnose cardio-vascular diseases. Moreover, many types of ventilators used in modern medical technologies wouldn’t be possible without an understanding of fluid pressure and pulse frequency.
Association of American Medical Colleges has stated in its Scientific Foundations of Future Physicians report: “modern medicine requires the ability to synthesize information and collaborate across disciplines”. The committee also recognises “the value of improving integration in the teaching of the basic physical, chemical, mathematical, and biological sciences in medical education”.
Artificial Intelligence can provide physicians with deeper insights into patient’s conditions based on great variety of clinical, social and environmental data and achieve better diagnostics and more personalized care. But it will also demand ability to constantly operate in new fields of knowledge, challenging themselves rather than relying on habitual practices, experience and standard medical protocols.
“Curiosity, scepticism, objectivity, and the use of scientific reasoning” (Association of American Medical Colleges) should be the vision of the future healthcare which technology will hopefully stimulate.
Patients data protection is a high priority for governments and IT vendors. Many projects were delayed or banned because of the security issues. Electronic Health Record (EHR) project in Germany discussed for years eventually was reduced to the modest health insurance cards data set not accessible for patients.
Patients data protection is crucial: Accenture estimates that one in 13 patients – roughly 25 million people – will have personal information, such as social security or financial records, stolen from technology systems over the next five years.
Healthcare apparently is going through the cycle that industries such as finance, retail or manufacturing went through decades ago. Nevertheless, almost everybody nowadays has at least once or twice tried online transactions ordering goods or services over Amazon, eBay or other internet platforms. For many, it is the only purchasing option.
What makes Healthcare so special and what can stand behind the security concerns?
Once I happened to attend a patient in the Intensive Care Unit (ICU) in one of the respectable hospitals in Munich, Germany. A person was initially treated in neurological department and delivered to ICU after cardio surgery. Noticing a computer in the room I have asked the attending nurse if it was possible to see this patient’s data. “Sure “, she said clicking on the screen. The SAP system showed me the standard data set: name, gender, age, etc., plus everything that was performed and captured in ICU. Knowing that SAP system scales all over the hospital I have assumed that doctors in ICU may be curious to see what initially had happened to the patient before he was brought to them. “Is it possible to see the patient’s history from here? “, I have politely asked the nurse. “Theoretically yes, but practically not. Our doctors do not like to share patient’s data, they prefer to owe them all.” Seeing my bewildered expression, she added: “if something goes wrong, who would like to flag it?”
It seems that physicians in the hospital I have visited are not unique. Still we see silos of isolated IT systems in many hospitals. And this is not just the technical interoperability issue. This problem can be solved. Fears of being blamed if something goes wrong are still deeply rooted in the medical culture. According to the National Centre of Biotechnology Information (NCBI) resources evidence suggests that actual disclosure rates of errors in hospitals were as low as 6%. Physician’s concerns over disclosing medical errors due to ensuing litigations was also confirmed by NCBI study of 276 randomly selected doctors.
The conclusion was the following: “Most doctors in this study would not disclose medical errors although they perceived that the errors were serious and felt responsible for it. Poor disclosure could be due to fear of litigations and improper mechanisms/procedures available for disclosure”.
Security concerns are often disguising purely pragmatic and commercial interests. Thus, according to Pew Internet & American Life Project study “nearly one in three doctors said they withheld medical treatment from patients if the services weren’t covered by health insurance”. So, for example, if there is a new medication coming out that potentially can cure a patient better, your doctor is at risk of prescribing it because the health insurance does not have this medication on the list of the drugs it is bound to finance.
The reluctance to share data especially with patients can have purely phycological reasons deeply rooted in paternalistic medical culture: patients are considered simply not worthy to be informed about procedures related to their own health. Thus according to Forbes two-thirds of doctors, members of SERMO, the leading ‒ if not the largest ‒ social network exclusively for physicians, were reluctant to share health data with patients, because “Full access also means generating questions for which there is no time to lecture the patient”.
One of the comments, supported by several physicians, went even further:” The records remain private property of the physician who generated it for the care of the patient. If the patient doesn’t like that fact then they can go elsewhere”
What patients think about sharing their data?
There is always a trade-off between security and comfort, between safety and ability to help. Patients are apparently prioritising care and willingness to help others over security and data protection. They are willing to share their feedbacks on treatment outcomes, the way the disease is progressing, their own personal data, because they believe such assistance can improve care and support innovations.
Thus, according to the Rock Health study “80 percent of respondents would share their health data if it meant getting improved care, while more than half said they’d share it for medical research purposes”.
A survey of 2,125 PatientsLikeMe members showed that 94% would be willing to share their data to help doctors improve care; 94% would be willing to help other patients like them; and 92% would be willing to share to help researchers learn more about their disease.
Desire to learn from each other is another incentive for patients to share their health data especially with those who successfully coped with the same disease. The study published by Annals of Internal Medicine analysed the blood glucose control of 120 Afro-American diabetic patients, the latter being randomly divided into three groups. The first group has received the usual care from their doctor; those from the second one was offered up to $200 if they could improve their glucose control over time; patients from the third group were assigned as mentors to fellow patients who managed to control their diabetes.
After six months, the only group of patients who had significantly improved their blood sugar control was the group with peer mentors.
The altruistic yarning to help their peers inspires patients to create their own communities. Platforms, e.g., PatientsLikeMe or Webicina not only are giving people a soothing feeling that they are not alone in their sufferings but provide invaluable life experience of those millions who, when properly analysed, can suggest new and efficient ways of therapy.
The demand for patients facing IT as user-friendly patients’ portals, personal health records and mHealth applications is high. Thus, Kaiser Permanente, an institution that has used portals for over a decade, reports that as of the third quarter of 2015, about 70% (5.2 million patients) of eligible adult members registered to use its My Health Manager patient portal.
When you suffer from anxiety and pain your first priority is to get help. Patients know this and thus are willing to share their data hoping to improve care, support research and promote innovations. Security concerns should not be underestimated, but after all it is a technical and policy issues that can and should be solved. However, there are many psychological and behaviour problems deeply rooted in medical culture and structure that are disguised under the security umbrella. Fears of litigations, career damages, financial restrictions still dominate over the desire to capitalize on mistakes, promote new treatments and improve patients care. Until these barriers exist the flow of information across care, detrimental for diagnostics and innovations, will be hindered under all sorts of pretexts, with numerous data protection acts being the main of those.
Suddenly my farther had chest pains. The emergency has arrived, and ECG was taken. I was of course eager to learn the results immediately. “You need to study six years to understand it”, snapped the doctor. “Your GP will inform you in due time”.
I was appalled. After all I had a university degree and many years working in the Health IT area. Am I really uncapable to understand the ECG readings? The next step was to go online to study ECG interpretations. For sure by now my knowledge is not up to the level of professional cardiologists, but at least I am able to see if something is wrong with ECG waveforms.
Patients health illiteracy stems from their fears and pains, and consequently: the desire to delegate the problem to somebody who allegedly can solve it immediately, be it a doctor or God. Medical professionals tend to exploit these feelings to reinforce their medical authority. Thus, a study on the observed behaviors of specialty physicians showed that “less than one doctor out of every four ever gave the patient an opportunity to participate in any type of decision making at the surgery”.
One of the typical statement: “while patients have expertise in their own experience of symptoms, they typically have minimal knowledge about their diagnostic journey to an unknown destination. The patient does not necessarily know what information is valuable for diagnosis, or when to be concerned that diagnosis is off track”.
With all respect to a six years’ diligent medical learning curve, I started believing that there are certain advantages that people coming from other industries can contribute to enhance health knowledge and care.
Approaching health: from general to specifics
Medical professionals undergo long years of studying which requires a lot of efforts and memory strains. One has to cover general subjects such as anatomy, physiology, biochemistry, microbiology and then dive into specializations. The methodology of learning and thinking is based on the vivisection of human body which is reflected in the contemporary structure of medicine being split between various fields such as gastroenterology, cardiology, nephrology, gynecology, oncology with various localizations, etc. The logic of this structure presupposes that if all organs are functioning properly a person should be healthy, which, unfortunately, is not the case. In complex systems the total is not equal to the sum of its parts.
Patients with professional engineering or scientific background are in the first instance applying a holistic approach to multifaceted subjects and after that are going into specifics.
For example, a physicist dealing with complex objects will first study an entire system, specifying its behaviour by overall macroscopic characteristics that are determined by some average system properties such as, e.g., temperature. One cannot describe, for example, the Universe by studying separately “dark matter” or comprising atoms. Likewise, one cannot understand the Earth climate by investigating the behaviour of separate molecules in the atmosphere.
An engineer, while checking the state of a nuclear power station, will not be satisfied if a steam generator or pressure vessels alone work properly. The latter being subordinated to the principal goal that is generating electric power ensuring the overall safety of a nuclear reactor.
Likewise, a patient, e.g., with scientific or engineering training while studding the nature of diabetes may challenge doctors with basic and seemingly naïve questions: what is the glucose metabolism in the body? What set of organs is entangled and what are the main functions of those organs? What chemical substances making up the interaction between such organs, in particular hormones, are involved?
This deductive reasoning that moves from the general rule to the specifics may not be sufficient enough to provide all the correct answers, e.g. in complicated cases, but can certainly help posing meaningful questions. A big leap forward.
Medical professionals, however, are often taking quite the opposite – inductive – approach trying to derive the general and indivisible state of human health from the behavior of particular objects (the body organs). At least that is how it is seen from a patient’s’ perspective. While talking to e.g. diabetics’ patients many physicians tend to enumerate to a patient the abundance of affective factors such as bad nutrition habits, wrong life style, previous diseases or semi-mystical genetic influence. However, it is not obvious from such discussions which factors are relevant for a specific metabolic function of a given person.
In essence educated patients tend to look at the human organism as a system, while medical professionals are often concentrating on its separate parts.
Patients’ intellectual “dive down” approach in understanding their diseases proves to be fruitful.
The study conducted among patients with Diabetes type 1 (DM-1) who went through education course and reported of positive changes in their condition showed that the “participants emerged from the course with greater condition-specific knowledge than many of the healthcare professionals they encountered.”
However, “patients who have in-depth knowledge of their condition encounter problems when their expertise seen as inappropriate in standard healthcare interactions, and expertise taught to patients in one branch of medicine can be considered non-compliant by those who are not specialists in that field”.
The statement provokes two observations. First, some doctors are still considering an educated patient as an unnecessary challenge and a threat to her/his dominant position in healthcare. Second, many physicians are “locked” within the domain of their specific professional expertise, having difficulties in reacting to information flowing from external knowledge domains.
Despite more than three centuries of the development of modern physics, mathematics and based on them successful engineering disciplines, medicine has not yet come to grips with the worldview and methodology adopted in natural sciences. Note, however, that most achievements of modern medicine are based on the techniques imported from experimental physics and applied mathematics (e.g., magnetic resonance imaging (MRI), computer tomography (CT), acoustic methods such as ultrasonic investigations of inner organs and blood flow, dynamic mapping of vessels, brain, muscles, glands, etc. showing metabolism and oxygenation in corresponding tissues, optical and laser methods, e.g., analysis of spectra of scattered light and so on. Naturally some technically savvy patients can be of help in dealing with certain complex explorations.
Education journey in Health is still a bumpy road. It requires support both from communities and governments. Medical professionals have to cope in future with new interdisciplinary natural science subjects to develop new methods of integrated health state analysis. Citizens, on the other hand, are to increase their knowledge of human anatomy and physiology.
Systematic health education in understanding the functioning of the human organism, physiology and biochemistry should start early at school. This will increase the level of health literacy among citizens, while allowing medical students to concentrate in their years of studying on new trends in medical science as well as cross-border sciences such as bioengineering, biophysics or genomics (including computer genomics).
Health literacy should be part of the standard European culture. Let us not talk just about “educated patients”. Let’s struggle to build an educated, cultural and healthy society.
Human senses initially emerged as a survival tool were a valuable clue for ancient physicians to spot the disease. While examining a patient a doctor would carefully touch his limbs, smell his breath, listen to minute body sounds and even taste his urine thus checking the human body without violating its natural functioning nor demolishing natural conditions. Just like animals who are identifying sick species by sniffing.
The European way of medical diagnostics, on the contrary, drifted towards using interventive methods. Examples are numerous. Take, for instance, the ubiquitous “sugar curve“, a colloquial name for a glucose tolerance curve (whose linear part is usually known as a dynamic range). A subject should drink or to be injected a glucose-containing solution until the blood sugar concentration rises to a dangerous level: some diabetic patients, especially those suffering from DM-1 (diabetes mellitus type 1) or from intermediate type, can experience very unpleasant effects, even faint or be driven to coma, which necessitates rush recovery measures. Another example is the treadmill stress test that is routinely (and indiscriminately) used by therapists to check the blood flow through heart, even for patients with cardiac arrhythmias, coronary or aortic stenosis, severe arterial hypertension, myocardial infarction (MI) and other cardiovascular failures. Such interventions, though accepted and even popular in the physicians’ milieu, should gradually be abolished. One should strive to non-intrusive diagnostic techniques.
Can the upcoming personalized sensor technology be used to augment our senses to distinguish various types of diseases in a measurable and precise way?
Smelling the disease.
Each of us has a unique “odor print” made up of thousands of organic compounds coming out with body fluids or breath that reveal gender, lifestyle and metabolic processes related to a particular health condition. For example, the breath of diabetics sometimes smells of rotten apples, the skin of typhoid patients might smell like baking bread, liver and kidney diseases can make breath smell fishy, while schizophrenic people carry a component called trans-3-methyl-2 hexenoic acid whose scent has been described as over-ripened fruits. So, each disease can have its own unique breath print.
Evidence now shows that those vaguely perceived odors can be translated into precise biomarkers indicating a particular disease. Thus Owlstone, the UK manufacturer of chemical sensors Cambridge, England has raised $23.5 million to design technology able to analyze odors for clinical usage.
The core of the technology is a miniature sensor with tiny gold electrodes that can be installed in a mobile phone just like a SIM card. The sensor functions as a chemical filter. When molecules are coming out with the breath they are ionized, then the tiny electric current transfers the chemicals of disease in question through the channels carved on the chip, where they are detected and analyzed depending on biomarkers. Today the technology can be used to identify, e.g., lung or cologne cancer. The company is now conducting a 1,400-subject trial, in collaboration with the University of Warwick, to discover whether its chips can help to determine the optimal drugs for asthma patients by sorting through molecules in their breath.
A few years ago, similar approach was taken by the Israeli Institute of Technology of researchers under Prof. Hossam Haick. During breathing a person emits the so-called “volatile organic compounds” which are specific for each disease. Na-Nose, the breathalyzer developed by the team, picks up those components to distinguish between the diseases.
The device can now detect more than 1,000 different gases contained in the breath that may indicate various types of illnesses. The technology was tested with breath samples from about 1,400 people in various countries, being able to accurately diagnose disease almost nine out of 10 times. According to Prof. Haick “with lung cancer alone the Na-Nose’s ability of early detection can raise survival rates from 10 percent to 70 percent”.
What your voice can tell you.
Years ago, I was attending a relative, a senior person recently operated with several bypasses. Seeking a second opinion I called my friend, a cardiologist. “Give him the receiver”, he snapped immediately. “I need to hear his voice.”
It seems our voice can speak on behalf of our health. It can be husky, raspy, hoarse, weak, loud, etc. associated with various types of diseases. Hoarseness, for example, can be a sign of a simple laryngitis, but also of autoimmune conditions such as rheumatoid arthritis, lupus or scleroderma. People with congestive heart failure (CHF) can have shortness of breath, fatigue, irregular heartbeat and more disturbances which are causing the alteration of their voice.
Would it be possible to quantify those intuitively perceived voice characteristics and identify voice biomarkers such as specific amplitude-frequency characteristics that may signal a concrete disease? Latest scientific evidence proves that voice biomarkers can be used for early diagnostics even more effectively than a routine medical checkup process. In the future, one may not need to travel to a clinic for an appointment with a doctor. Your physician can simply listen to your voice pattern over a smart phone.
Researchers from Mayo Clinic in cooperation with Israeli company Beyond Verbal presented their discoveries at the American Heart Association Scientific Sessions in New Orleans, Louisiana, in December 2016. Scientists assumed that hardening of arteries during chest pain may affect the voice pitch, so it is possible to pick up early heart failure by listening to patient’s voice and registering specific voice biomarkers associated with, e.g., cardiovascular disorders. 150 patients enrolled in the initial study were asked to produce three short voice recordings using an app developed by Beyond Verbal. After the patterns were analyzed with the help of the machine learning, the researchers identified 13 different vocal features associated with patients at risk of coronary artery disease (CAD).
Scientists discovered that one specific characteristic frequency of the voice was associated with a 19-fold increase in the likelihood of coronary artery disease. This voice segments, not registerable by the human ear, can predict a certain degree of the blockages found by the angiography. The only way one can pick it up is by using the app’s software. Researchers believe that the vocal test app with the smart phones can be used for remote identification of patients possessing the risk of heart failure as well as for monitoring patients after cardiac surgery.
Sonde Health is another player on the arena. The company has launched a vocal biomarker analysis platform based on technology licensed from researchers at the Massachusetts Institute of Technology. While people chat over their habitual smartphones, the software is extracting from everyday voice interactions “vocal biomarkers” (such as dynamic changes in pitch and harmonics, articulation timing and hoarseness or breathiness) that potentially can signal ranges of disease including cardio failure, depression, mild traumatic brain injury (mTBI), concussion, cognitive impairment and Parkinson’s disease.
Certainly, the implementation of sensor augmented technologies provokes many questions. For example, what if a person deliberately changes his pitch or pretends to speak faster? In this case the test will not be reliable. Privacy and security is another issue. If a person’s phone is constantly bugged by a physician, why not by hackers? Precision and accuracy should also be further verified by continuous tests.
But at least it is worth trying. The advantages are also outspoken: early and pervasive diagnostics of disease that potentially can save millions of lives.
That healthcare is expensive is widely known. So, citizens should accept health services with gratitude and respect.
But looking at healthcare delivery model as a citizen and a patient (not as a professional healthcare administrator), one can spot at least three areas where money could be saved for the benefit of patients.
General practitioners (GPs) are overloaded almost everywhere. As a result, patients are often too easily pushed to hospitals instead of being treated in the comfort of their homes.
A typical story: a man in Germany was experiencing a severe cough, dizziness, fever and breathlessness. Such symptoms can indicate a flue, bronchitis, but also sometimes heart failure up to the upcoming infarction. A local GP who appeared only the next day suggested an immediate hospitalization. Already surviving the night, a patient was apparently not keen on the perspective. ”Why to go to the hospital right now?” “Because – replied a doctor with authority – you have already had a history of heart problems. Besides I don’t understand why you don’t want to go to the hospital”. A surprise was so genuine as if she was proposing to drop into a nearby pub.
True, the sick person went through heart operation with several bypasses about 10 years ago. But is that a sufficient reason to drag him to the hospital exactly at the moment? Fortunately, this man urgently demanded the troponin blood analysis (protein found in heart muscle that are released into the blood in case of the heart damage) to rule out myocardial infarction. On top, he requested the ECG. Both analyses can be performed at home. The result on the troponin was negative. There was no urgent need for a hospitalization.
This case is not unique: according to the World Health Organization (WHO), 20% of hospitalizations in Germany in 2012 were preventable or totally unnecessary: in other words, the hospitalization of every fifth patient could have been avoided through timely and effective provision of ambulatory care.
The outcome of the story this time was positive. Another GP came diagnosing bronchitis and allowing the man to stay at home. It took about 20 euros to pay for the medications vs. thousands that could have been spent to cover a few days in a hospital. It was also a human factor that made the difference: the physician with the ambition to help his patient. The system was obviously prioritizing hospitalization over the ambulance care.
Bureaucracy vs. care.
No doubt healthcare is a very complex business. It is proved by numerous medical protocols guiding medical procedures. “Primum non nocere” or “first, do no harm” is a fundamental bioethical principle every medical student is taught at school. It is better to do nothing, than to risk causing more harm than good to your patients.
However, blunt adherence to prescribed rules can cover professional incompetence and indifference.
Another typical story: a man in his early sixties, strong and sporty, suddenly felt dizzy. He diagnosed himself with the approaching stroke. Knowing that there is a window of three hours within which help should be delivered, he called the ambulance. Within those 3 hours a neurologist should perform a brain computer tomography (CT) to determine the nature of stroke. In case of ischemic (which is over 80% of all strokes), some of the blood vessels are blocked by a thrombus (fat or blood clot) that disrupts the blood flow from reaching certain areas of the brain to supply it with oxygen. The thrombolytic drugs can dissolve the clots, reestablishing the oxygen supply. The same treatment, however, can kill when a weakened blood vessel ruptures spilling out the blood into the brain. The so-called hemorrhagic stroke.
The arriving emergency took a man to the nearby hospital in the city of Freising (in Bavaria, Germany). Unfortunately, it was Sunday night. Worst time getting to the hospital as all specialists are fast asleep expected to be back the next morning. The assistant doctor on call this night was not an expert in reading CT brain images, nor was she allowed to. Only a trained neurologist can read the CT image to detect lesions in patients. So, the decision was simple: wait for the next shift of neurologists to come leaving this patient for 6 hours without any help in the emergency department.
Unfortunately, the stroke was not aware of such human constraints. It let itself develop. The patient in question was sitting meaninglessly before the assistant doctor on duty who diligently filled the lengthy protocol. “Better to do nothing” condemned this patient, who came to the hospital only with minor impediments, to years of paresis.
Should this doctor dare to wake up a neurologist, a man would have received a proper treatment, e.g., with thrombolytic medications, anticoagulants, antiplatelet agents, for instance, a simple heparin injection, as well as antihypertensives and peacefully returned home after spending a couple of days in a clinic. In extreme case, an endovascular device could be applied. The whole procedure would have probably cost several hundred euros. But alerting a colleague in the middle of the night was not mentioned in medical guidance. The logic of the caregiver that night was unassailable: nothing personal, I am doing my job according to instructions.
Recently I have learned that the Freising hospital had made an agreement with the large University clinic in Munich. Professional neurologists can now provide 24×7 remote video consultancy and in extreme cases personally come to Freising. I assume that the above described case was not unique, and the accumulation of similar cases eventually outraged both patients and authorities. But how many lives should be disturbed before the decision was taken?
Avoidable surgeries or cunning economics.
Too often medical professionals resort to radical interventions without sufficient reasons. Money is lavishly spent on medical procedures, which are not only needless, but may be harmful.
Thus, according to AOK 2014 report (AOK is one of the largest German health Insurance houses): 19,000 deaths could be prevented, should unnecessary surgeries be avoided.
For a comparison: car accidents in Germany took away the same year 3.290 lives. The situation in the US seems to be no better. Avoidable surgeries might account for 10% to 20% of all operations in some specialties, including a wide range of cardiac procedures. According to the Medical Experts Online, the US company that provides patients a platform for a second medical opinion, in 66% of cases the first recommendation in favor of surgical intervention was found inappropriate.
Studies revealed that physicians were often “incentivized to perform surgical procedures, either for financial gain, renown, or both”. Many of them complained “surgery quota” was imposed on them by health administrators, due to the provisions hospital were getting from insurances for each operation. Considering that a surgery costs on average about 40K – 50K euro, the business seems lucrative.
James Rickert , MD, an orthopedic surgeon in Bedford, Indiana thinks that hospitals recommend patients to undergo surgery“ because they are paid approximately ten times more money to perform surgery than to manage one’s problem conservatively.
It is not accidentally that the modern healthcare system was traditionally focused on treating the disease vs. preventing it and supporting health. As one cardiologist with 19 years of experience formulated: “The key is that the early prevention won’t make profit. In treatment, operations like placing stent will be profitable, while oral education on prevention won’t make great financial benefit. Patients spend a lot when they get diseases”.
Perhaps such economics is good for insurances and some hospitals, but effectively it is just a money wasting: it is a patient who ultimately pays with both his money and health.
Professional health managers and scholars can provide deeper analysis on healthcare economy, but from a patient perspective the healthcare system we currently have is rather optimized for generating revenue than for the effective care. Paradoxically, in this way the system is losing both: money and efficiency.
Imagine: suddenly you feel dizzy. You simply press the button of your smart band, watch, necklace, etc. Your ECG, glucose level or blood pressure will be immediately checked, and Artificial Intelligence (AI) software will recommend simply to sip 20 mg of Cognac and peacefully go to bed. Would it be nicer than calling the emergency?
Indeed, promises of the 3d Digital Wave are breathtaking. With 70 percent of healthcare organizations worldwide investing in consumer-facing technologies, e.g., wearable sensors and related apps, patients are expected to receive virtual medical care anytime anywhere. Artificial Intelligence will compensate the lack of a human one. It will disrupt the existing healthcare system by delivering easily accessible, cheaper and higher quality care to 70% of patients by 2025. Researchers at Stanford University have recently compared 130,000 images of 2,000 different skin lesions into a computerized algorithm discovering that artificial intelligence was just as good as 21 board-certified dermatologists at identifying instances of skin cancer. By 2020, cognitive systems are expected to diagnose in minutes such chronic conditions as cancer and diabetes. 75% of all patients hope to witness such glorious metamorphosis.
According to the studies the second wave of digital health transformation has already provided European citizens with electronic health records (EHR), particularly in Germany.
As a patient, I wonder: where are all those treasures? Who is hiding them from me and other patients, and where? Entering a nearby hospital (by the way, in modern Germany) I have a feeling that those is who are writing futuristic those visions live somewhere in a different world, not in the one most of us, ordinary citizens temporarily grieve in. For sure, EHR has already been implemented somewhere, but as I was searching for an X-ray image buried in one of the hospital’s archive departments (not to be confused with Picture Archiving and Communication System/ PACS) I was, with many difficulties, provided with a printed film. An image depicted a spinal injury with no trace of a cardio operation that was, according to the records, performed upon the patient a week ago. Moreover, it was obvious that an image belonged to a woman, while the patient we were concerned about was unquestionably a male. The authentic image, by the way, was never found.
Meanwhile, some of the technologies able to help millions in diagnostics and treatments have already existed for years. For example, the Canadian company Biosig Instruments has patented the InstaPulse® Heart Monitor that registers arrhythmias without the use of common 12-lead medical devices available only in hospitals, cardiology clinics and, sometimes, in advanced physicians’ offices. One can simply grasp the device with both hands and it will automatically turn on continuously updating your cardio rhythm. Note that irregular cardio rhythms are causing the formation of blood clots in vessels. The blockage of the vessel depending on the location can provoke congestive heart failure, ischemic attack or even myocardial infarction (with necrosis) and stroke. Though the device was registered as a “fitness gadget” (apparently to avoid the FDA hassle) it could be well applicable to cardio patients. Cardiological Clinic Aachen in Germany is now using almost identical device to treat their stroke patients.
The Insta-Pulse® Heart Rate Monitor was invented by Dr. Gregory Lekhtman for a general consumer in 1975 being sold for 128 Canadian dollars. Researchers in Aachen started experimenting with their device in 2016. The calculated distance (airline) between Germany and Canada is approximately 6,750 Kilometer. About 1000 hours walking distance (given the ocean were replaced by the firm ground). It took almost 50 years for physicians to start practicing comparable device in Europe.
Similar fate apparently befalls wearable garments such as Niturit, a seemingly ordinary T-shirt developed by the University of Aveiro in Portugal and the Israeli “Moked Enosh” company. The sensor enabled garment records ECG signals transmitting the results via a smart phone over a number of days directly from a patient to a cardiologist. The T-shirt was offered years ago as part of examinations by the Moked Enosh center at the cost of $ 117. While the European Space Agency was quick to choose this T-shirt to test astronauts, cardio patients are still awaiting it in their nearby hospitals.
No question, there are oases of innovations such as Mayo or Cleveland Clinics, or Kaiser Permanente being on top of the technological edge. Yet patients are less concerned about “best practices”, but rather with the “broader adoption” of innovative methods as part of a routine healthcare procedures.
We consume digital services daily in highly competitive and consumer oriented industries such as banking, manufacturing or retail. But healthcare still remains most highly impenetrable fortress for IT innovations. Just as we see disconnections of IT systems in many of the hospitals, so we observe a disruption of knowledge flows within the medical community. Such methods as “crowd funding” or “crowed testing” so familiar, e.g., in software development practices are not yet widely spread in healthcare environment.
Why the technologies that can make our healthcare more efficient, personalized and accessible are slow to reach the consumers?
To justify the inborn conservatism, medical professionals often refer to the fundamental bioethical principle of “Primum non nocere” or “first, do no harm” every medical student is taught at school. It is better to do nothing, than to risk causing more harm than good to your patients. Of course, healthcare has to deal with subjects much more complex and multifaceted than, e.g., manufacturing or finance. But if Niturit or HealthWatch, 15-lead ECG-sensing T-shirt that can read heart rate, blood pressure, detecting cardiac irregularities, have already been tested on a number of patients including astronauts, why other hospitals at least do not check on them? Are astronauts much more important than the rest of us citizens?
True, new delivery models will demand changes in traditional health bureaucracy and administration. How to combine, e.g., remote consultancy with the traditional face-to-face visits? Who will actually be responsible for the remote monitoring? How those remote services will be compensated by insurances? However complicated all those challenges may seem, solutions can be found. Other industries have coped with those problems rather quickly. Banks have adjusted their administration and personal issues to online payments and even software industries moved rather quickly from licenses to pay for services model.
Maybe the reason for delays is that there are simply too many of us patients around the world, so healthcare organizations have relatively low competition pressure compared to other industries? With population growing older and over 44% of World Health Organization Member States to have less than 1 physician per 1000 population patient, medical providers will hardly be left without jobs. Unlike other industries forced to fight for their customers by offering them better services, the problem in healthcare is reverse: how to reduce the patients overload.
Or maybe the blame is on patients who, despite all the proclaimed efforts to engage them, are still shy to decide on their own health? We consider ourselves professionals when demanding the ban of Nuclear Power stations in favor of a “cleaner and greener” technologies, but suddenly feel ourselves meek submissively accepting the risk of surgical procedures. We obediently swallow medications prescribed according to statistical tests, without asking why the given pill would work exactly for us, and we accept diagnosis and treatments without checking for alternative approaches.
For example, many cardio patients are undergoing expensive bypass surgeries. The bypass procedure is not harmless. The estimations are that following bypass only 75% of patients remain free of cardiac ischemia for five years, dropping to 50% by ten years. Meanwhile there are safer (though more primitive) methods existing for over 50 years for treating angina such as, e.g., External Counterpulsation (ECP) that is completely non-invasive. A computer microprocessor triggers the sequential inflation with compressed air of cuffs that are wrapped around a patient’s calves, thighs and buttocks. As the computer inflates the cuffs, blood is propelled from the lower body back into the heart. This action facilitates venous return of blood into the heart, increasing cardiac output. Does this method work for you? Maybe not, but at least it is worse to check it with your doctor.
So why there is no pressure from us citizens to stimulate medical community to crave for new and perhaps better methods of treatments like it is happening in other industries? To be honest, I do not have an answer, but I think it is time we should feel and behave ourselves less like sheepish patients, but more like citizens and customers of the healthcare system which we are directly or indirectly funding.
The forecast for wearables is still bright. Studies show that one in six (15%) consumers in the United States use smartwatches or fitness bands such as Fitbit, Jawbone, Nike, Apple Watch or Microsoft Band. While around 19 million fitness devices likely to have been sold in US in 2016, the outlook for 2018 reaches 110 million.
Heart rate can now be measured with a device combined with oximeter built into a ring or a watch band; muscle activity can be tracked by an electromyographic sensor embedded into clothing; level of stress is estimated with an electrodermal sensor incorporated into a wristband, and sleep patterns via an accelerometer in a watch. All those gadgets of course are generating numerous self-tracking applications such as food monitoring MyFitnessPal or Zeo sleep analyzer.
Nevertheless, surveys signal some alarming trends. 32% of users stop wearing their tracking devices after six months, and 50% after one year. Many are bored of constantly entering and tracking multiple data with no clear evidence how the process is affecting their health. Without getting tangible functional value from wearing extravagant devices, people are unlikely to change their habitual life style.
Who is using wearable devices?
Curiosity is one of the powerful drivers stimulating people to try new things. 75% of wearables’ users described themselves as “early adopters” of innovative technologies. No wonder that 48% were younger than 35 and 29% reported to earn more than $100.000 annually. So, basically, to become a user of a modern wearable device one should be young, healthy and wealthy. Most of Fitbit, Nike, Runtastic, etc. users are already sport fans accustomed to care about their health. Fancy gadgets are just adding more fun.
Apparently, this is not the prime target group that needs to improve its well-being. But wearables could be a solution for real problems, e.g., long-term chronic condition management or remote care. The technology has a potential to create healthy smart homes where seniors and those suffering from chronic conditions could feel themselves safe and secure. For example, a microanalysis of body movement data can be used to detect early symptoms of Parkinson disease . Such a widely popular game device as Microsoft Kinect equipped with a high resolution camera and infrared sensors is able to grab the slightest, almost invisible facial and thorax movements including tissue vibration to predict sleep apnea or a sudden cardiac arrest. All this is possible but requires a big change on behalf of the user: tolerance to adjust to the devices, diligence in monitoring vital signs.
The change is not easy. Most of those who potentially can benefit from wearables are of 50 and above age, the generation of workaholics, “company best assets” truthfully serving their employers. For years, they have been used to long overtimes, sacrificing their sleep and weekends to finish a crucial report impossible to accomplish in-between daily meetings and conference calls. Will this people be ready to withstand the demand and pressure of social obligations and sacrifice precious moments of their life that can be spent with families and friends for the sake of fitness trainings? After all, years are passing by, and there are still some things to do in this life besides reaching the goal of 5000 -10.000 steps per day.
If they will, then under one condition: wearable gadgets should add a real value to people’s life. Unfortunately, the achieved number of steps and the associated weight loss do not directly help to improve serious health issues such as hypertension, diabetes or cardio failure. On the contrary, several studies have observed that patients with type 2 diabetics who self-monitored their own blood glucose concentration did not benefit from increased glycemic control but rather found their disease more intrusive. Excessive self-quantification along with persistent inability to improve one’s health conditions provoke the feeling of helplessness that may lead to anxiety, frustration or even depression, which, in its turn, can hardly ameliorate symptoms of health disorder such as increased AD, sleep disturbances, irritability, hot flashes and other vasomotor instabilities. A number of trials show no beneficial effect of blood glucose self-monitoring among non-insulin treated patients, while others demonstrate negative outcomes, including elevated levels of depression.
Can we trust wearables?
Getting data is not enough, one should trust information it provides. The reliability and validity of data produced by wearable devices in many cases is questionable. For instance, comparisons between various types of wearables tracking physical activity showed large variations in accuracy between different devices — with error margins scaling from 10% to 24%.
It is relatively easy to count steps, but understanding the correlations between those numbers and more complex indicators such as daily energy expenditures (EE) across many devices is much more difficult. Thus, comparisons between research-graded accelerometers/multi-sensor devices (BodyMedia SenseWear, and ActiGraph GT3X+) and consumer wearables such as Fitbit One, Fitbit Zip, Jawbone UP, Misfit Shine, Nike Fuelband, Striiv Smart Pedometer and Withings Pulse demonstrated a relative consistency in step counts, however correlations in EE were only around 30%.
It is also important what exactly physical parameters wearable sensors are measuring. Take for example sleep trackers. Unlike the professional polysomnography (PSG) equipment that is tracking multiple sleep pattern parameters, e.g., brain wave characteristics (EEG), blood oxygen level, heart rate and rhythm, breathing patterns (how easily or difficult you breathe, how often you stop breathing, pauses in-between inhale and exhale), eye movements, etc., the majority of self-assessing sleep monitoring wrist accelerometers are simply tracking body motions, at best in combination with pulse). But what if a person is having insomnia, but deliberately is trying to lie still? So, in a way we are sacrificing quality for the sake of usability and price.
Time is one of the most precious and vanishing values in our life, especially for those who have real health problems. If people are investing their time to change their habits, preferences and life style they want to get a meaningful return of investment. While wearables help to achieve short-term goals with diets and exercises and, possibly, temporary weight loss, a long-term impact of consumer wearable devices on complex health issues such as hypertension or diabetes is still questionable. But hope is the last one to die. Saying that I am rushing to reach my 10.000 steps goal.
The annual international conference on Wearable Technologies did not impress by innovative discoveries, but rather showed the meaningful utilization of the existing ones.
Many of the demonstrated products such as smart watches, wearable garments, smart caps or badges were based on already existing technologies, e.g., measurement or registration of the following physical phenomena: light signals (LED), heat conduction, galvanic skin response (variations of electrical conductivity of the skin), local pressure changes, fluid velocity distribution, chemical detection of substances or using electronic sensors of small electric currents.
However, there was a definite step forward. Contrary to the first wave of digital gadgets mostly preoccupied with fitness and wellness parameters such as heart rate, number of steps and burned calories, the demonstrated at the conference devices were primarily focused on collecting data relevant specifically to health.
Thus, Xsensio presented its “Lab-on–SkinTM” device developed at the Swiss Institute of Technology. Miniaturized nanotech sensors are analyzing chemical biomarkers such as electrolytes, proteins, molecular or bacteria right at the surface of the skin for real time early diagnostics.
CSEM , another Swiss company, in cooperation with Smartwatch is designing a spectrum of bands and watches with intelligent chips that will allow users to measure blood pressure, something that developers were yearning to achieve for years.
Most of commercially available blood pressure monitors and respective online applications are standardized for the “average person”. Thus, the allegedly “correct” numbers for systolic and diastolic are, e.g., 120/130 vs. 70/80 are stipulated irrespective of a person’s age, gender or physical condition. A CSEM device is linked to an application to calculate individual’s weight, age, gender and height adjusting the “correct numbers” to individual health conditions thus helping people to develop their own personal blood pressure protocols and avoid unnecessary panic or medication consumption.
Smart clothing is apparently the rising trend of the personalized healthcare. The wardrobe of wearable garments such as HealthWatch or Niturit ECG monitors is being enriched by new fashions. Bonbouton , smart T-shirts designed by a US start up, is using graphene sensors embedded in the normal textile fabric. Graphene has a strong potential for wearable sensors due to its unique capacities to ensure both thermal and electric conductivity as well as high breakage strength. The material can be used in the standard devices collecting multiple vital sings from temperature variations, breathing rate, pulse, ECG, and beyond that can be applied to the vast spectrum of healthcare objectives.
AiQ smart clothing is another attempt to merge electronics with fashionable textile.Based in Taiwan, the company is designing the variety of comfortable garments such as TouchMan gloves made of conductive yarn that is woven into the glove fingertips allowing to touch panel devices with accuracy and precision, without the inconvenience of removing your gloves; ThermoMan electronic thermo garment tracks the local body temperature. After grasping the body temperature the garment is releasing the respective amount of heat to keep its user warm; ShieldMan, an anti-electromagnetic (EM) radiation textile is designed for young mothers to protect the fetus from harmful EM radiation impact.
It is impressive how relatively small startups are successfully addressing the biggest worldwide problems such as child mortality. Nearly three million newborns die every year in the developing world due to acquired infections, injuries, birth defects or pregnancy complications. 80% of such deaths could be prevented, should medical help have been provided on time. Unfortunately, these countries are still chronically lacking professional medical resources.
Neopenda, a US engineering team of young enthusiasts, addressed the challenge by creating a small wearable device that remotely monitors vital signs of critically ill newborns. A low powered multiparameter sensor arrays are measuring pulse, respiratory rate, peripheral blood oxygen saturation and temperature. The system can be installed at the newborn’s home alerting physicians nearby or those in a hospital in low resourced areas.
Unlike their laboratory created predecessors, many wearable products demonstrated at the conference are already commercially available. SmartCap, developed by the Australian company, has now found its practical utilization among machine workers.
Tiny sensors embedded in the typical baseball cap are capturing electrical activity of the brain estimating the level of fatigue of its user. Early warnings alarm when exactly the worker should interrupt the activities to take some rest. The system is much favored by long distance drivers of heavy tracks, mining industry workers or by aviation pilots. Maybe soon office workers will be wearing such caps to estimate the best productive time for their customer meetings or politicians to vote on important public regulations.
Printed electronics such as wearable patches or bandages is another rapidly developing technology that helps to unobtrusively monitor health parameters such as local temperature, skin humidity or ECG identifying health issues on a very early stage.
Thus, professor Matti Mäntysalo from the University of Tampere in Finland is working on a bandage with electrodes printed on stretchable bandage material that measures the heart’s electrical activity transmitting signals to the cell phone.
Not only wearable devices are now actively searching for commercial utilization, they are now capable of generating new businesses and jobs. Thus, the first wave of wearable designers was practically covering the whole production cycle: from idea, design up to the finished product. Now developers tend to delegate parts of industrious procedures to professional companies. Thus, Convestro, a world-leading supplier of high-tech polymer materials, is specializing in production of adhesive tapes, badges, patches and film coating for embedded sensors incorporated in wearable devices. Since sterility, elasticity, sustainability to external factors such as pressure, heat or rupture are the top requirements for medically used materials, it is cheaper and safer to delegate the business to professionals.
The general impression is that the industry in gaining maturity. The developers are moving away from “cool technologies” to “proven and accurate” commercial products that will be able to collect and analyze meaningful data to provide healthcare industry and citizens with deep insight on their health. Who knows, maybe soon we will finally be able to try a smart dress with a fancy sensor hat in a fashionable boutique or an elegant smart bracelet in a jewelry shop.
Swallowing antibiotics prescribed by my doctor to treat bronchitis, I imagined how nice it could be if my doctor noticed the effect immediately. I may cut on antibiotics in case fever drops or, on the contrary, take more appropriate measures in case it jumps up. I should not wait in complete uncertainty for the next visit .
Working in IT my first thought would be to use some fancy application. But as a patient with a fever all I need is help. I needed services vs. just pumping my application with data nobody cares about except myself.
We are feeding our mHealth apps with multiple isolated data such as temperature, blood pressure or even ECG, but without constructive follow-ups this is just a trash that provokes more questions than constructive actions. Is it not the cause of consumers’ disillusionment in mHealth apps?
According to the results of Research2Guidance mHealth App Developer Economics 2016 study, the demand for mHealth applications is decreasing, while their offer is increasing. A total of 3.2B downloads are expected in 2016 with 259,000 mHealth apps listed on major app stores. A total increase of +7% compared to 2015 which is a significant drop down compared to 35% and 36% mHealth application growth in 2014 and 2013.
Can such a trend be reversed?
Allow Hospital Information Systems to collaborate with patients.
The Hospital Information Systems (HIS) were initially focused on supporting inner hospital procedures such as access to Labs and Pharma, clinical data repositories (CDR), nursing/clinical documentation, computerizing Practitioner Order Entries (CPOE) thus creating a collaboration environment within medical staff. The trend is still sustainable. While consumers are more ready to accept mHealth applications to monitor Health conditions and share it with their doctors, studies show that medical community is still more conservative in enrolling patients’ data into the care process.
Thus 77% of US consumers, according to RockHeal+t study, are eager to share their health information to get a better care from their doctor. Medical staff, on the contrary, continue seeing more value in physician-to-physician and nurse-to-physician communications. This was highlighted by 78% of medical staff according to Spok’s annual Mobility in Healthcare Survey.
Of course, there is much less risk in pumping a standalone application with patients’ health data vs. integrating such data into medical procedures. The validity of information, the reliability of devices that generated data as well as the trustworthiness of applications is still much to be desired. But the value of such information is lower: if mHealth apps will not entail adequate health services the overall mHealth disillusionment will grow.
Advanced analytics in consumer apps.
Most of consumers mHealth apps are primitive data repositories still waiting for analytical engines to process floods of confusing data. They will collect your blood pressure or glucose level for months and years. Alas, those regularly collected and averaged observations still do not suggest how to improve personal health results. The majority of today’s consumer health apps are unable to interpret relationships between the vast spectrum of personal health data in order to finally build a full picture of the health puzzle – to improve either an individual’s daily habits or health treatment.
No surprise that after several months of diligently collecting it, the enthusiasm is fading and users stop downloading the apps. A study from the Journal of Medical Internet Research (JMIR) shows that even patients who do see value in smartphone and tablet apps nevertheless stop engaging with the devices within 6 months. More than forty percent said that tracking and monitoring apps required too much time to input necessary data, while a similar number simply said that their interest faded over time.
Adoption of wearable sensor technologies in care procedures.
Wearable devices enabling consumers to “ quantify self” are originating floods of mHealth apps. The Global Wearable Sensors Market according to Mordor Intelligence Survey will grow from $3.75 billion in 2014 to $14.75 billion by 2020, at a projected CAGR of 25.7% “Smart Pills Technologies Market (2012-2017)”; the report forecasts the global smart pills market to reach $965 million by the year 2017 whereas Gartner expects shipments in the smart garment category to jump from 0.1 million units in 2014 to 26 million units in 2016.
Devices and apps such as AliveCor Kardia Mobile that provides one channel ECG results in 30 secs with the help of a sensor attached to the mobile phone; a t-shirt developed by the University of Aveiro in Portugal and the Israeli “Moked Enosh” that records the heart activity over a number of hours transmitting it via a smart phone from a patient to a cardiologist; the smart patch created by researchers of University of Illinois, Urbana-Champaign, that can be stuck to the skin for continuous EMG and EEG monitoring – all those technologies will generate thousands of mHealth applications and data. Will hospital information systems be ready to encompass data from all those devices for early diagnostics and personalized therapy? Currently only 8% of US hospitals covered by Spok survey supported wearables in their organizations.
Adequate infrastructure to support mHealth application services.
An adequate infrastructure including secure data storage, sharing and analysis is still one of the major blockers preventing hospitals from the efficient use of mHealth applications. While most of mHealth app developers already use the existing vendor platforms such as Apple HealthKit (69%), Google Fit (44%) or Samsung S-Health (18%), many hospitals are still locked within their own world. The absence of a secure infrastructure allowing the hospital staff to integrate patient’s experience across care was identified by 54% out of 550+ US hospitals.
Conclusion: As a person I would not object to becoming a guinea pig for new devices and applications and change my behavior to manage my health. But I would expect the adequate behavior change on behalf of my physicians. Me – to track my blood pressure, BMI, heart rate, etc. to better handle my own health, my physician – to provide better diagnostics and personalized therapy. It will be critical over the next coming years to turn mHealth consumers’ apps into patient centric services, in particular, by integrating them into healthcare processes and systems.