WASHINGTON — From pathology labs to intensive care units, artificial intelligence is playing an increasingly direct role in the diagnosis and treatment of patients, according to medical specialists who gathered here this week for a meeting on the widening array of uses for data and analytics in medicine.
Academy Health’s Datapalooza conference, an annual rallying cry for the use of data to improve care, is typically a place where government leaders and digital technology experts discuss wonky policy changes that could help liberate patient information walled off by an array of health organizations.
This year was no different. But many doctors and executives also described ongoing experiments in which AI is making progressively deeper inroads into clinical settings, dangling the prospect of a future in which machines could save money and improve care by plucking crucial information from an impossibly vast sea of data.
Another great article, Casey. Other than the septic shock example listed above, did Datapalooza apply any focus to how AI is being investigated as a tool to improve the analysis and implementation of Business Intelligence; eg, the operational aspect of the healthcare system? Clinical AI seems to me to be the sizzle, while business AI is the steak.
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