AI Uncovers Other Patients Like You to Support Doctors

Outside of common conditions, most doctors see only a few cases of some problem in their entire career. That’s why students and residents gather eagerly around hospital patients who were diagnosed with a rare condition. These doctors can’t compare large numbers of patients with a certain condition to see what works for each patient and why some respond to a treatment that fails on other patients. But take common conditions that doctors see every day. Even here, exams and tests usually don’t detect the condition until it hits a certain stage. Treating it at an earlier stage could vastly improve the outcome. These are some of the uses for AI in medicine, as described in this video interview with Joseph Zabinski, senior director of AI & personalized medicine at OM1. OM1 searches rich data sets containing information on millions of patients, from clinical visits and other sources, to turn up alerts that a condition might be emerging. OM1 can also predict certain treatments that could work or could not work, based on understanding the patient’s full conditions and demographic information. The recent successes of chatGPT hint at the potential for AI in health care, because doctors asks questions all the time. Zabinski suggests that AI can take human “intuition that there’s something in there” and turn that into answers. “There’s something in the data that can tell me more than I see right now,” he says. Hints of a prob...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: AI/Machine Learning Analytics/Big Data C-Suite Leadership Clinical Health IT Company Healthcare IT Hospital - Health System Clinical Decision Support Healthcare AI Healthcare IT Video Interviews Healthcare Machine Learning Joseph Zab Source Type: blogs