It has been widely recognized early on in every industry that the Analytics are the quintessential value of Big Data. From trend analyses to treatment-specific insights on Cancer Research, for instance, Big Data Analytics have proven to be extremely valuable.
McKinsey’s 2013 classic white paper, The Big Data Revolution in US Health Care: Accelerating Value and Innovation, includes a framework which is equally applicable to spur healthcare innovation in any part of the world.
Briefly, to summarize, the framework deals with a) Right living, which means patients must be encouraged to make right choices, b) Right care, which implies responsiveness, c) Right provider, which requires medical professionals to be selected based on abilities not job titles, d) Right value, which is the result of continuous improvement and e) Right Innovation, which emphasizes relentless efforts from all stakeholders to find new approaches and effective treatments as well as innovating the core of innovation engine itself by boosting R&D productivity and further disrupting the field of medicine.
While turning Laptops and even Smart Phones into diagnostic devices is likely to gain wider acceptance even in remotest parts of the world, where healthcare facilities are totally absent, the Big Data Analytics and the Internet of Everything are already shaping the structure of reform and modernization of medicine.
I attended IoT (Internet of Things) Immersion organized by an IoT company called Arrow, recently in Boston. Arrow created SAM (Semi Autonomous Motorcar) for the legendary paraplegic race driver Sam Schmidt, (See Youtube video of Sam interviewed by NBC here: youtube.com/embed/0My2_Pjd8WA) He was the natural choice for a Key Note speaker at this event. He gave some staggering statistics about the disabled people and urged the IoT companies to develop more innovative devices and integrative solutions to aid in caring for physically challenged denizens on the planet. He created a foundation called Conquer Paralysis Now, to help advance his cause.
Japan had been at forefront of Robotics Revolution for decades. They have invested heavily in AI/Robotics research and development mainly to assist elderly and aging population. Not surprisingly, they have also developed ingenious use of Robotics in Healthcare. For example, RIBA – the Robotic Nurse picks up patients and assists in medical treatment while acting as a near-human-like companion.
Additionally, Nanorobotics – the branch of Robotics which involves ultra-tiny semi-autonomous intelligent devices equipped with sensors and mechanical arms that perform surgical procedures at nanoscale – promises to help disrupt medicine further. Prof. Maoro Ferrari from Houston Methodist Hospital, is a Nanomedicine pioneer. He was awarded 2015 Aurel Stodola Medal for his distinguished research this field. His ingenious inventions such as nano-traps and multi-stage-ventors (MSVs) already found innovative uses in filtering pesticides at cellular or “nano” level and eliminating tumors most efficiently, powered by precise diagnostic insights.
Sustainability is another important dimension in ushering ubiquitous healthcare innovation across the globe. GE Healthcare, India recently launched Revolution ACT an advanced Computer Tomography system that aids in diagnosing tumors, internal fractures and bodily infections. This was entirely designed and developed in India, costing substantially less to manufacture and maintain. It also boasts 47% less power consumption.
“Any sufficiently advanced technology is indistinguishable from magic.,” the famed Science-Fiction writer, Sir Arthur C. Clark once wrote. ‘Magic’ is the first word that comes to one’s mind when one witnesses modern-day healthcare innovation in action. The last word, perhaps, is ‘miracle’!
Dr. Mohan K. Bavirisetty is currently the Chief Scientist at Modern Renaissance, which builds Innovation Platforms and Advanced Centers of Excellence for organizations across a wide spectrum of industries. His current focus in on Advanced Analytics, Internet of Everything, Nanorobotics and Evidence-Oriented Systems Engineering.