How data and AI can advance health equity

Michael Sanky, global industry lead of healthcare and life sciences at Databricks, outlines how technology and healthcare leaders can harness artificial intelligence to equitably help patients. Data and artificial intelligence have the ability to aid in bridging the widening health inequities that are common in the United States. Large-scale, multifaceted data sets can be analysed by new technologies, which can help researchers, decision-makers, and policymakers in the healthcare industry. AI has the potential to enhance patient outcomes, boost proactive healthcare planning, predictive therapies, and clinician burnout if used properly. In order to achieve this, there have already been significant developments in healthcare. For instance, the Food and Drug Administration approved more than 520 medical AI products in just November 2022. Starting with data sets that are not always representative of the people and communities being treated, employing AI in healthcare services presents a number of difficulties.