What ’ s Special About AI Risks and Remedies in Health Care?

This article looks at what’s special about AI in health care, and some ways to address its needs. For this article, I spoke just to lawyers, because we’ve heard plenty from the technologists about AI’s potential and what they’re doing to minimize risk. The perspective of attorneys with an expertise in health care is illuminating. An anthology from STAT also contains some relevant analyses and case studies. Liability and Licensing Are clinicians facing the risk of lawsuits if they heed the advice of AI engines? Where do the new systems differ from older forms of clinical decision support—or the simple act of calling an expert colleague on the phone for a second opinion? Digital apps and services for a long time have sidestepped liability by claiming that they are not treating patients or providing diagnoses. Erica Kraus, a partner specializing in value-based care at Sheppard Mullin, points out that AI has aided with diagnoses for a long time: for instance, by examining pictures of moles and suggesting which ones indicate cancer. And some protection from liability is important to leave space for innovation. Dr. Michael Levinson, who is both a physician and a healthcare attorney with Berger Singerman LLP, describes the general process of diagnosis as a decision tree, a concept familiar to programmers. As the physician (or the AI engine) asks questions, the possibilities are narrowed down until there is a likely diagnosis or a referral for a test. Beca...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: AI/Machine Learning Clinical Health IT Company Healthcare IT Hospital - Health System Regulations Security and Privacy Bard Berger Singerman LLP ChatGPT Erica Kraus FDA FDA AI Regulations Google Bard Healthcare AI Healthcare Source Type: blogs