Year: 2020 | Month: June | Volume 7 | Issue 1
The Multiplier Effect of Applied Machine Learning Technology in Modern Healthcare
Abhijit Bandyopadhyay
DOI:10.30954/2348-7437.1.2020.4
Abstract:
In this concept paper on machine learning and its application in modern healthcare, an attempt has been made to analyze the uses of machine learning in various health information technology and e-health paradigms and the multiple benefits accrued from applied machine learning in the diversified domain of modern healthcare. In juxtaposition with Artificial Intelligence, Data Mining, Optimization, and Statistics, machine learning paradigms have the potential to meaningfully revolutionize the modern healthcare system. Uses of artificial intelligence, big data analytics, data mining, statistical optimization techniques, and, modelling have the potential to improve modern healthcare to new levels of efficient and effective management of healthcare. Healthcare is a prime mover in any nation’s progress and application of machine learning technology accentuates the growth and efficacy of this crucial sector. Connecting global resources of healthcare professionals and cutting-edge healthcare technology through the seamless integration of skilled manpower, infrastructural facilities, investment options and, the world pool trained medicos may usher in a new era of MLT-enabled healthcare system that reduces the cost, optimizes the processes and delivers the best across boundaries. Hence machine learning adds multiple benefits to the modern healthcare system, as referred to as its “multiplier effect”. In this concept paper, a sincere effort has been made to relate the basics of MLT, how it can be integrated with health information technology and, the manners in which it can transform people’s lives with the timely and proper intervention. It has been proved in this concept paper that MLT has a multiplier effect on the judicious delivery of quality and affordable healthcare. Although it has also been delineated that the best tool in HIT is still the brain of medical practitioners, it cannot also be denied that the adoption pf MLT and thoughtful extrapolation with the medical database can improve our healthcare system manifold. Hence a trustworthy application of MLT tools can help medical professionals taking better decisions in a timely, cost-effective and, reliable manner. The journey from reactive theoretical antidotes to predictive analytical solutions in healthcare is the precious boon derived from advances in machine learning technology. The medical database and EMRs can pave the road for stunningly accurate and optimized healthcare solutions provided MLT is synchronized with HIT and properly applied by adequately trained professionals. Hopefully, it can also be expected that our healthcare revolution is just a stone’s throw away if MLT and modern HIT are juxtaposed most professionally. This multiplicity of benefits MLT provides to HIT culminates into the proverbial “multiplier effect”.
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