HealthEC Blog Posts

Artificial Intelligence and Health Care IT

Artificial intelligence within the health care IT space is gaining momentum. And while its applications may not align directly with popular consumer solutions like Amazon's Alexa that can play music or order pizza on command, health care-based AI will be capable of doing other really cool things in the not-too-distant future - like saving your life.

Unlike today's consumer-based AI solutions that perform a limited number of "virtual assistant" tasks that utilize machine learning for natural-language processing, the potential for health care AI is endless because of the vast amounts of information available from within the healthcare system.

And true health care AI doesn't simply apply a handful of algorithms to a limited set of data and slap the "artificial intelligence" label onto a particular solution – as some savvy marketers have done across industries.

Rather, it pairs deep learning with massive amounts of data from multiple sources - like Medicaid claims, hospitals, physician practices, FQHCs, clinics, laboratory systems, pharmacy benefits management systems (PBMs), and public health data – that can be aggregated and processed in meaningful ways by applying powerful algorithms to millions of data points.

Health-based AI in turn, finds a correlation. And the more information that can be processed within machine-based learning applications, the more insightful these systems become. Essentially, AI recognizes patterns within the health care space, and is able to tell stories about patient populations.

Perhaps most importantly, automation will allow medical professionals to bypass many of the traditional steps leading up to a diagnosis, validate AI findings, and focus on treatment options – unleashing the greatest asset for medical innovation, time. Coupled with the prospects for enormous cost savings, AI is poised to advance medicine as we head further into a new, data-driven age.

AI is not a new phenomenon, but the confluence of AI and Big Data is likely to transform medicine. Using innovative automation techniques AI will continue to find and analyze patterns within health care, giving physicians more time to react to, and treat, diseases. And by recognizing these patterns, AI will turn health care on its head.

Sita Kapoor

Blogger Name: Sita Kapoor

Date of Publishing : January 29, 2018

About the Author : Sita Kapoor is a data scientist and Chief Information Officer at HealthEC. She was recently recognized for her innovative work in population health management and thought leadership with Health Data Management’s 2018 Most Powerful Women in Healthcare IT Award.