From the October 2017 issue of HealthCare Business News magazine
The patients with chronic diseases cannot be managed in the four walls of a hospital or clinic. They have to be connected and monitored with medical devices from where they live. While medical devices can monitor heart rate, blood pressure, glucose and other functions, generating thousands of data points each day, clinicians don’t have time to analyze it. AI algorithms ingest this real-time and dynamic data along with electronic medical records, then find patterns and present to care teams with a list of effective therapies and treatment options.
As the next generation of both patients and caregivers, including clinicians, doctors, nurses, specialists, even executives and administrators, starts taking a foothold in the health care workforce, hospitals looking for a first-mover advantage already know that AI is on the verge of becoming a critical component across the entire organization, and not just information technology.
Finding new patients, predicting diseases and presenting potential treatment options are just a few of the myriad ways AI will transform health care data. AI is exploding quickly and the health care industry is on the verge of making the solutions faster, better and cheaper. In another 10 years, AI technology-driven solutions may become the gold standard by which all others are judged.
About the author: Bipin Thomas is a renowned thought leader on consumer-centric health care transformation. Thomas is a board member of HealthCare Business News magazine and strategic advisor to HealthTap. Thomas is a senior executive at Flex, where he is leading business innovation by enabling intelligent products and connecting stakeholders across industries. Thomas is a former senior executive at Accenture and UST Global, where he implemented strategic digital initiatives across the care continuum.
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