Bridging the Trust Gap is Key for AI to Succeed in Healthcare

Artificial Intelligence (AI) has the potential to transform healthcare. It is already helping to reduce clinician workloads and speed the analysis of large populations of patients. There is, however, a trust gap that is developing which, if left unaddressed, may hold back the widespread implementation of AI. Bridging that gap requires transparency, working closely with clinicians, and operating within strict guidelines. SAS is working towards all these goals. Healthcare IT Today recently had the opportunity to speak one-on-one with Dr. Stephen Kearney, Global Medical Director at SAS, a world leader in analytics. We asked him to talk about how SAS is working with healthcare organization on the data side of AI as well as the AI algorithms themselves. AI Trust Gap SAS is a founding member of the Coalition for Health AI (CHAI) which has a goal of developing a framework, with health equity in mind, that addresses algorithmic bias. SAS works alongside other founding members including Dr. John Halamka from Mayo Clinic and Dr. Michael Pencina from Duke Health. Together with their Coalition partners, SAS is creating model cards which help organizations understand the inner workings of AI algorithms and applications. “We need guidelines, parameters and transparency,” said Dr. Kearney. “The model cards help with that. The model cards that SAS developed are like what’s on the side of a cereal box. These cards help you understand what the ingredients are so that you can make good ...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: AI/Machine Learning Healthcare IT Hospital - Health System AI Algorithms AI transparency CHAI Coalition for Health AI Dr. Stephen Kearney Duke Health Erasmus Medical Center Healthcare AI Healthcare Data Analytics Mayo Clinic SAS Source Type: blogs