In a HIMSS20 Digital presentation, leaders from Google Cloud, Nuance and the Health Data Analytics Institute offer their perspectives on how AI-powered insights and automation are helping health systems push forward.
As with nearly every element of the healthcare world, applications of artificial Intelligence and machine learning have been reshaped by the COVID-19 pandemic. Whole business models and strategies became outdated and entirely new approaches have replaced them.
Three industry leaders who compared notes on a recent HIMSS20 Digital presentation all agree: AI and machine learning technologies are key to responding to the coronavirus pandemic, and how they can aid patients and providers.
They will also have an additional role in helping healthcare businesses recover financially while also identifying and serving those most in need when it has ended, the group said.
Their online conversation, Reactions from the Field: Artificial Intelligence| Machine Learning centered on how AI is being deployed right now to help care for patients, aid researchers in the hunt for therapeutics and vaccines – and how financially battered healthcare systems can use machine learning insights to help optimize their business models moving forward.
Keeping people away from disease hotspots is a priority during the pandemic and this has created a surge in the use of telehealth.
« The aim here is to keep patients safe at home if they can be at home, » said Aashima Gupta, Director of Global Healthcare Solutions at Google Cloud.
Meanwhile, « as telehealth has exploded, AI has helped reduce administrative burden, » said Peter Durlach, SVP strategy and new business development at Nuance Communications.
