Page 9 - October 2018 Disruption Report Flip Book

DISRUPTION OF HEALTHCARE OJACNTUOABREYR 2018
Wearables and IoT: Small, mobile, and wearable devices are supporting healthier lifestyles with reminders, and have the ability to collect and report biological data. Some of these devices can even transmit information to your doctor in real time. The global market for medical wearable devices is projected to reach $14.41 billion by 2022, according to Markets and Markets.
Patient Empowerment: Now more than ever, patients are craving knowledge, personalized care, enlightenment in their care, and want to be in the driver’s seat. Going well beyond the typical web search, evolving technology and increased access to healthcare resources and content are supporting that demand and improving the overall patient experience. (Perficient Blog, Cynthia Koeneker, 07/02/18)
Artificial Intelligence is streamlining U.S. healthcare processes
In the very near future, #AI and machines might be responsible for the majority of healthcare interactions, according to Rasu Shrestha, MD. “The word of the day is augmentation,” said Shrestha. “That’s what’s going to happen in healthcare.” AI won’t necessarily diagnose, but it will—and, to a certain extent, already does—glean insight from thousands or even millions of other cases, to help better inform a doctor’s thinking. (Fast Company, Merck, 04/03/18)
For example, AI is being used to evaluate options for treatment to determine the best treatment regime, with the goal of prolonging life in the most cost effective manner possible. Researchers
at Harvard and the University of Pennsylvania have developed a machine learning algorithm
that accurately predicts a patient’s 30-day mortality rate at the beginning of the start of his chemotherapy regime, based upon an analysis of nearly 27,000 patients’ health care records, who began chemo treatment from 2004 to 2014. This open source algorithm, which doesn’t require any more processing power than a smartphone or computer, integrates into a health system’s existing electronic health care records and doesn’t rely on additional clinical input to function.
This AI tool outperformed existing methods of calculating mortality rates. Importantly, it offers health systems an array of cost savings opportunities including (i) a better forecast of how patients will react to certain treatments, which should improve patient outcomes and (ii) lower mortality rates and discharge times, resulting from earlier anticipation of serious health events. (Health IT & CIO Report, Jessica Kim Cohen, 07/30/18; Business Insider Intelligence, Nicky Lineaweaver and Laurie Beaver, 08/04/18)
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