Saturday, 15 October 2016

Health and Relevant Technologies 2010

Health and Relevant Technologies 2030
By
Dr Geeta Asthana
Senior Consultant
Fortis Escorts Heart Institute
Okhla, New Delhi 110025
and
Dr. RGS Asthana
Senior Member IEEE


Figure 1: Health and Technology in 2030 [33]
Summary
Health and technology 2030  [1] refers to healthcare approach at not only exploring but also exploiting the potential of new technologies useful  for improving health of patients by providing best diagnosis and treatment by encouraging research, education and services in all relevant disciplines of health (See Figure 1 [33]). Devices to monitor personal health and robot-assisted surgery and regenerative technologies are hints of things to come provided research in Artificial Intelligence field progresses in ways that increases the belief of healthcare players, i.e., doctors, nurses, patients and regulators [2, 11].
mHealth [28] has great potential to reduce the costs of healthcare, while improving the quality. The mobile may chime alarms to all relevant people after identifying disease(s) based on parameters monitored by either directly by it or the healthcare apps connected to it.  It may also advise treatment and provide all help in ordering medicine or arranging ambulance or managing doctor’s appointment or admission in hospital based on the seriousness of the case of the individual.
We describe in some detail use of technology in healthcare, e.g., 3D Printing; Big data analytics; impact of Artificial Intelligence; Clinical workflow and pathways changes causing changes in hospital design; use of nanobots in changing shape of surgery; and exploitation of potential of wearable techs.
A brief review of status of healthcare in the year 2030 and even beyond (see conclusion section) is presented.
Keywords
Prelude
The world has seen an exponential growth in connectivity over the last five years, and the next five years will bring further and faster expansion of communication [19]. In fact, today first thing you need is connectivity to do anything and in next decade connectivity will be taken as given.
Until recently, researchers have had only limited success in extending healthcare into the home environment, yet there seems to be a huge demand for this service.  The increasing cost of hospitalization is making home care more viable and with advent of technology and growth in connectivity it’s even becoming cheaper as well as effective.
Here is a possible scenario of how medicine will be practiced in future right from the birth of a child?  At birth (and later even before birth), a child’s blood will be sampled, put in a gene sequencer and DNA is analyzed to find out any potential health issues. Future pediatricians will then calculate a “healthcare roadmap” for the child for next 20-50 years, detailing the exact custom vaccines, gene therapies and surgeries the child will need to undergo at specific times of life to avoid serious health complications later on [14].  
As child grows older, the phones, wearable and implants he carries around will monitor his health always. Meanwhile, implants will analyze his blood for levels of toxins, viruses, and bacteria and alarm will be raised if any parameters go outside permissible limits.
All health data so generated will be shared with patient’s personal health apps, online health monitoring subscription service, or by local HIE.  These services will provide over-the-counter medication and personal care recommendations to block illness before it fully sets in.
Review of Healthcare
According to Cisco [20], Internet of things (IoT) will have over 500 billion devices   connected to the Internet by 2030 and majority of these are likely be health related devices.  The following is taken from a list of many of the emerging health information technologies (HIT) and changes in healthcare practices that may materialize in time to come [6]. A brief review on the progress in this area is presented below:
  • Electronic Health Record (EHR), Personal Health Record (PHR), and Mobile Health (mHealth) will be connected via Health Information Exchange (HIE) networks.  HIE networks will be connected with other related Industries, e.g. Banking, Security, Manufacturing, Pharma, etc. mHealth is expected to reach 1.158 billion users by 2020 [28]. Large quantities of data collected by EHR systems will automatically be transferred to public health data repositories using HIE networks, resulting in improved public health as well as medical research. The big data technologies will play major role in developing analytics [18].
·         Healthcare will not only become ubiquitous but Healthcare information technologies (HIT) will enable patients to use the healthcare resources & services on a '7x24x365' basis.
·         The cost of healthcare will be reduced by using technology [41] e.g.
o   Use of Healthcare Transparency Tools for comparison shopping by providing meaningful cost and quality information for healthcare on an online platform will become popular therefore patients will make value-based healthcare decisions;
o   Remote Monitoring Systems will generate real-time data which will be swiftly accessed by all healthcare providers including nurses,  doctors and even patients,;
o   “Virtual Doctor Visits” through Tele-health and telemedicine will be common as these enable two-way interactions between a patient and a physician by live video conferencing technology;
    • On-line Health Condition Management Programs will use online tools that help you manage your medical condition from home; such solutions already exist in some countries to enable monitoring of health of old or immobile people; Home healthcare and self-care will grow dramatically over the coming decade;

    • The length of stay (LOS) in the hospital will become shorter with time. The hospitals will become smaller and specialized. There will be larger area for handling emergencies and less area for patients staying. All this will happen as cost of hospitalization will become very high and thus home care will grow and development of new clinical workflows and pathways; and

o Medical Billing Management Apps will exploit technology to make aggregatingand viewing health claims, insurance information, and medical data easier than ever before.
·         
   New User Interface (UI) will be offered, e.g. Wearable Systems and Google Glass. These devices could have a major effect on the daily clinical routine and business practices of clinicians.
·         Personal health applications fixed to clothes or beneath the skin sending back constant streams of data to medical centers and providing for real-time alerts or diagnoses. New wearable body sensors that capture continuous physiological data streams will become widely available for use by 2020. This market will continue to grow substantially through 2030.
·         There will be a wide range of major advances in biotechnology as both Singapore and China are doing massive investments in this area besides US; Nanotechnology (which deals with dimensions and tolerances of less than 100 nanometers [26], especially the manipulation of individual atoms and molecules.); diagnostics, health information technologies, stem cell treatments [27], genomics, human augmentation solutions and much more. We’ve already seen enormous impacts from genomics in medicine, especially cancer treatment, where we’ve started to treat tumors based on their genetic makeup rather than the organ in which they are found, like the breast or the prostate. By 2031, these techniques, along with other new treatments, like immune-therapies which help the body’s own defense to fight tumors, will make cancer a highly treatable disease [23].
  • Neuro-pharmaceuticals [7] (a drug used to treat neuro-psychiatric, neuro-psychological or nervous-system disorders) will allow people to maintain concentration for longer periods of time or enhance their learning abilities.
·         By 2030, medical decisions and treatment will continually improve as they become based on greater access to better data and health information.
·         Nanotechnology & Implantable Health IT Systems interfaced to EHR and PHR Systems will become a reality by 2030 or even earlier.
·         A range of new medical Robotic devices will be interfaced to Health IT (HIT) systems by 2030.  The 'Internet of Things' [20] is the network of all the devices including these. There will be trend to embed intelligent processors into almost every possible device, will continue to proliferate – especially in a wide range of devices related to health and fitness.
  • The utilization of the enhanced clinical pathways [21], in managing care, will be an effective method to monitor the process of acute clinical care in patients undergoing primary total joint replacement surgery.
  • Today in India when a surgeon opens up a patient for surgery he may find more complications then he has envisaged earlier. These situations will become things of past as surgeons will have better and intelligent diagnosis.
  • Synergistic technologies such as computer processing power and big data storage and analysis will be important for managing the huge amounts of data gathered by genome sequencing.  The field of 'predictive medicine' – an emerging area where we will know the diseases to which an individual is utmost susceptible [15] – will grow as the development of new genomic information systems spread and evolve.  When the human genome was first decoded in 2003, the cost was $3 billion. By 2030, we can expect sequencing of a full human genome to cost under $100 [23] as on date it is about $1000 [22]. That exponential reduction in cost will create new worlds of possibility.
  • Germline [30] genetic modification is a form of genetic engineering which involves changing genes in eggs, sperm, or very early embryos. This type of engineering is inheritable, meaning that the modified genes would appear not only in any children that resulted from the procedure, but in all succeeding generations. The other similar technologies like cloning and stem cell research  will raise the possibility of a new class system, discriminated only by those possessing the ability to “enhance themselves and their offspring” versus those who can't do so.
  • The field of Regenerative medicine which deals with the "process of replacing, engineering or regenerating human cells, tissues or organs to restore or establish normal function”, in fact, is a branch of translational research in tissue engineering and molecular biology [8, 29]. It will advance rapidly and complete organ replacements grown from stem cells, e.g., replacement organs, such as kidneys and livers, may be developed by 2030 and humans may get these implants. 3-D organ printing is a major possibility besides many new scenarios including teeth regeneration; cures for hearing loss; limb replacement, biomedical devices, nanobots [16] may also materialize.
  • Research in Medicine will enable doctors to customize drugs for their patients based on their genetic make-up in next 5 years.
  • Quantum dots - the microscopic bits of semiconductor material - used today to display a dazzling array of colors on TV screens could make cancer surgery more effective in future. It is hoped that the dots will avoid the drawbacks of the dyes that are supposed to expose the spread cancerous cells [39].
·         Use of 'Social Media' in healthcare will also be one of the other major growth areas for the healthcare industry in the coming decade.

{% recommendation normal | count: 5 | filter: 'module', 'NOT', 'Sponsored' %}

Status of Major Technologies
A carpenter or an architect may have a standard toolset but what he does with   it depends on individual’s expertise. Similarly, technology only provides tools to process but the domain knowledge restricts the use of technology toolset (which also is improving day by day) but as and when the right domain knowledge is developed, we will get wonderful results by use of technology.  We describe here a few major technologies which are likely to have major impact on the medicine and healthcare as it is practiced today.
3D printing [3, 4]
The price of the cheapest 3D printer today is about $400 which used to be $18,000 say, 10 years before.  It not only became cheaper but also 100 times faster during this period.  Physical objects are “printed” from raw materials via additive, or 3D – printing: It allows for printing products at home and creates a whole set of human health opportunities.
One day, 3D printers may create not only things, but also human organs – looks like a difficult preposition today. The material used to print an organ would obviously be different from what is used to print a bike, and one needs to find out what kinds of materials will work, such as, titanium powder for making bones.  The process is called “bio-printing [3, 4].” However, all bio-printers output cells from a bio-print head that moves left and right, back and forth, and up and down, in order to place the cells exactly where required. Over a period of several hours, this permits an organic object to be built up in a great many very thin layers. In addition to outputting cells, most bio-printers also output a dissolvable gel to support and protect cells during printing. 3D printing has great potential to service custom design needs. It is true that there is nothing more custom than a human body.
Artificial Intelligence or AI
An AI intelligent system using natural language processing, ontologies and reasoning can be effective in gathering and extracting information from large data sources and has the ability to identify the cause and effect within data. Computers become exponentially better in understanding the world.  
However, along with advances in technology, the latest strategy for AI developers has become [5], “Don’t model the world but model the mind.”
Since 2012, a specific machine learning technique called “Deep Learning” has permeated the AI world. Researchers have abandoned the classical programming tricks-style of AI and switched to deep learning, because it works far better than any previous methodologies. Thus, we have made progress on several key AI problems, viz., image understanding, signal processing, vocal comprehension, and understanding text.  Although, “Deep Learning” is far from true AI as it does not take us even close to adaptable intelligence human’s show, but it certainly is a step towards getting there.
IBM researchers with U.S. military funding developed a new computer chip based on neural computing that could revolutionize everything from smartphones to smart cars and also approach the computing capabilities of the human brain someday [34].  AI inspired films such as Blade Runner and The Terminator, were in limelight again and as per Dr. Kurzweil [35] - one of 18 maverick thinkers, ”Machines will rapidly overtake humans in their intellectual abilities and will soon be able to solve some of the most intractable problems of the 21st century.” 
More recently, Apple developed SIRI – a personal assistant - for its iPhone followed by Google in developing its own assistant for it’s Android OS.  Looking ahead, we can expect our personal assistants accessible to us 24/7 and capable of fully responding to natural language, including colloquialisms and our personal idiosyncrasies as well as you can have conversations with them.  In short they will be tuned to our habits so they can write as well as read our emails, book appointments, perform menial thought tasks, and even anticipate our needs and last but not the least analyze our health data collected in health apps of the mobile and make prediction about possible diseases as well as solution thereof and even order medicines from the chemist. Of course, we will be able to assign the degree of autonomy we give our mind clones.
The Human Brain Project (HBP) has successfully overcome its initial difficulties [36] after getting major funding from European commission. Scientists have developed the first high-definition 3D model of a complete human brain - it is called BIG BRAIN and is part of HBP.  Just imagine being able to surf through the brain and its 86 billion neurons - well now you can!
The key difference between Europe's HBP and the U.S.'s BRAIN Initiative is that the latter does not depend on a single scientific vision. Instead many teams will compete for grants and lead innovation into different, unplanned directions.   Use of Big Data techniques may make Europe's HBP a perfect complement to ‘BRAIN’ initiative of United States - a well-funded neuroscience initiatives - focusing on techniques development. China and Japan also started a brain-mapping project mainly for Disease Studies [37, 38]. 
Our brains will be directly connected to the Internet in the next 15 years, making us, “hybrids,” one artificial intelligence pioneer predicts [16]. An environment can be planned in the future where AI based tools replace a range of functions performed today by the people.
Big Data and Analytics [18, 25]
Big data is a term for data sets that are very large or complex that traditional data processing applications are insufficient to deal with. Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information.  
The sources for data in healthcare are mainly EHR, Genomics (include DNA sequences), behavioural  (includes Social net and Mobile sensor data) and public health resources; Big data tech enable doctors to get a better evidence and insights at not only at a cheaper cost but also enables improved outcomes through smarter decision making. Based on analytics, healthcare providers can develop new strategies for care of patients, reduce the number of unnecessary hospitalizations and improve the health of patients while decreasing the costs of care.
The consequence of not using right technology to analyze data results in hospital re-admissions within 30 days of a previous discharge which happens in 20% of all cases in US. This is not only expensive but are also potentially harmful, and most importantly, they are often preventable.   Identifying patients at risk of re-admission can guide efficient resource utilization and   save millions of healthcare dollars each year. Making meaningful predictions from complex hospitalization data through information extraction, feature selection and predictive modeling will only be possible by using Big Data and analytics.
Healthcare Industry is generating massive quantities of data and big data technologies have potential of supporting a wide range of medical and healthcare functions, including among others clinical decision support, disease surveillance, and population health management.
Robotics and Services 
Robotics is beginning to influence many jobs, from manufacturing to agriculture, and retail to services. According to the International Federation of Robotics, the world now includes 1.1 million working robots, and machines account for 80% of the work in manufacturing a car. 22 Robots are streamlining supply chains to deliver more efficient and predictable business results. Robotics could make the surgeon’s scalpel a thing of the past by 2030 [12]. This will reduce by a great margin in future almost 5,000 injuries and more than 300 deaths in the year 2013 which happened mainly due to faulty instrumentation. Figure 2 shows a robot covered with sterile material in a operation theatre.
The first robotic pharmacist in the US is expected to be available by 2021.  An i.v.-compounding robot [see figure 2] was successfully implemented in a cancer center and has been integrated into the pharmacy’s workflow at the Taussig Cancer Center of the Cleveland Clinic [13].    
Nano-robots or Nanobots are becoming more popular now as scientists now put them inside living organism.  Nanobots injected into humans could yield a possible cure to leukaemia. International team of scientists is working on nanobots that could unclog arteries [17].  It’s a surgery performed by tiny micro-surgeons. The surgeons, called Nanobots, are really tiny groups of magnetically charged particles that band together to break up clogged arteries. The surgery is planned in two steps the first being delivery of drugs to soften the blockage and second is nanobots charging into battle, drilling in to blast heart blockages apart. These nanobots could be biodegradable so will disappear with time. Besides the above nanobots may do a lot more.


Figure 2: A robot covered with sterile material in a operation theatre
If you think only about above it is sufficient to change the complete picture of heart treatment including medicine, surgery and angioplasty.
Wearable Technology
With the growing aging population [9], dominance of chronic diseases, and rising healthcare costs, the healthcare system worldwide going through a major change, from the hospital-centered system to an individual-centered system. This is mainly brought through recent developments in wearable medical technology enabling not only the accessibility but also the affordability of healthcare so that critical parameters as well as the biochemical variables of the patient can be monitored continuously for extended periods of time, making early disease detection and timely response to health threats possible. The wearable technology will be available in form of intelligent biomedical clothing forming body area networks for communication of the data to the healthcare providers.
As per SNS research report [10, 11] wearable device shipments is likely to grow at a compound annual growth rate (CAGR) of 29% between 2016 and 2020. By 2018 and 2020, wearable devices market will be worth $12 and $40 billion respectively.  Leading smartphone OEMs, Apple and Samsung are already in smart watch market with a combined share of nearly 75%. New business models will emerge, particularly, in the enterprise space. More than 56 million Health and fitness related wearable devices will be used by people by 2018. The key emphasis in smart watch and medical bands is on health applications only.
Status of Healthcare beyond 2030 in brief
Given below is a brief scenario of health beyond 2030:
  • Medical science will one day solve the mystery of common chronic diseases like cancer, atherosclerosis causing heart disease and stroke, diabetes, and age-related dementias like Alzheimer's disease [32]. 
·         Regenerative medicine is one of the fastest growing biomedical industries in the world [8] because patients are being cured of diseases that were once incurable [29]. Regenerated organ's cells would be derived from the patient's own tissue or cells and this approach will easily circumvent the problem of organ transplant rejection.
·         Body-worn technologies will be popular but will have potential for serious misuse. Human augmentation covers a wide range of technologies from implants and prosthetics to powered skeletons.  Elderly people as well as disabled people could ultimately benefit from powered exoskeletons that assist wearers with simple walking and lifting activities. There are number of companies making exoskeletons and a list of manufacturers is given in [24].   Improvement in battery technology will make it possible to develop longer-lasting batteries which will improve viability and practicality of use of exoskeletons [31].
·         Prosthetic limbs have now reached the stage where they offer equivalent or slightly improved functionality to human limbs even today. Prosthetics will eventually be directly integrated with the user’s body.  As replacement limb technology advances, people may choose to enhance their physical selves, much as they do with cosmetic surgery today.
·         Progress in the neurosciences will be critical for the development of future brain-machine interfaces. And advances in flexible biocompatible electronics will enable improved integration with cybernetic implants [31]. There is possibility of transplant of head and its implications could be very interesting.
Conclusion
Global population is expected to even out at around 10 billion people by 2050. It is expected that approximately 70% of the world's population will live in cities by 2050 primarily due to better healthcare support and availability of jobs. This will put significant pressure on the infra including energy, food, water resources and also healthcare.  
This paper does not discuss the environment issues mainly like clean air or clean water or climate changes in the world by 2030 which may cause major health concerns.
Detection of diseases at early stage will be thinkable by use of Big Data technologies in healthcare, so diseases will be treated easily and efficiently. Numerous questions regarding healthcare can be addressed with big data analytics [18].  With time, Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs [25].  
SNS Research estimates that by the end of 2016, mHealth could represent up to $340 Billion in annual healthcare cost savings worldwide [28]. Think of mhealth gaining more spread as well as popularity with many more new apps and potential savings by end 2030? 
It is worthwhile knowing that social media and public domain data can also sense public health. Patients will need to carry responsibility to improve their health by taking keen interest. Similarly, every health professional must have strong performance records and be capable of achieving the best outcomes.  Use of 'Social Media' in healthcare will also be one of the other major growth areas for the healthcare industry in the coming decade.
AI today has potential to gently, gradually and ubiquitously redefine our association with technology to enhance human capacity, longevity and, primarily, how we live [40].  By 2030, we will have right and relevant technology solutions to develop new approaches to health-care and also its delivery at reasonable cost maintaining quality. Use of 'Social Media' in healthcare will also be one of the other major growth areas for the healthcare industry in the coming decade.
References
[1] How will health look like 15 years from now?
[2] Stanford-hosted study examines how AI might affect urban life in 2030
[3] Bio printing
[4] Organ Printing
[5] Will Artificial Intelligence Improve Democracy or Destroy It?    

[6] What does the future hold for Healthcare and Health IT – From 2015 thru 2030 and Beyond

[7] Neuro-pharmaceutical

[8] New health facility aims to translate stem cell science into therapies  http://news.usc.edu/62466/new-health-facility-aims-to-translate-stem-cell-science-into-treatment-therapies/

[9] Wearable Medical Systems for p-Health

[10] The Wearable Technology Ecosystem: 2016-2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts 
[11] Future 2030 by Dr. RGS Asthana, Senior Member, IEEE
[12] Robot surgery to replace the knife by 2030
[13] Implementation of an i.v.-compounding robot in a hospital-based cancer center pharmacy
[14] Forecast | experiencing tomorrow’s healthcare system: Future of Health P6
[15] 2030 – The Future of Medicine: Avoiding a Medical Meltdown
[16] Ray Kurzweil: Human Brains to Fuse with Nanobots, Become 'Hybrids' by 2030
[17] This Tiny Robot Team Could Help Stop the No. 1 Killer in America

[18] Big data analytics in healthcare: promise and potential

[19]  Digital Connectivity and the future of Communication
[20] Internet of Things
[22] Global Trends 2030: Alternative Worlds
[24] Exoskeleton report
[25] Health Information Science and Systems: Big data analytics in healthcare: promise and potential

https://hissjournal.biomedcentral.com/articles/10.1186/2047-2501-2-3

[26] Nanotechnology
[27] What Is Stem Cell Therapy And Why Is It The Future of Personalized Healthcare?
[28] The mHealth (Mobile Healthcare) Ecosystem: 2015 - 2030 - Opportunities, Challenges, Strategies & Forecasts
[29] Regenerative Medicine: Could This Be Healthcare's Saving Grace?
[30] Germline
[32] Health: Charting New Plagues Like Predicting the Weather
[33] Image in Figure 1
[34] IBM's Brain-Inspired Computer Chip Comes from the Future
[35] Computers 'to match human brains by 2030'
[36] The Human Brain Project and the Graphene Flagships are moving ahead to the next stage of their 10-Year Voyage
[37] Why the Human Brain Project Went Wrong—and How to Fix It

[38] Brain/MINDS: brain-mapping project in Japan

[39] The Cancer Surgeon’s Latest Tool: Quantum Dots

[40] The AI disruption wave

[41] 5 Ways You Should Be Using Technology To Lower Your Medical Expenses




No comments:

Post a Comment