Data Warehousing

Electronic health record market, policy and funding variables have historically left behavioral health behind, but there is movement on all fronts, says Alisa Chestler, chair of the data protection, privacy and cybersecurity Team at Baker Donelson.

Lynn Carroll, COO of HSBlox, discusses enterprise-level capabilities required for critical inputs into SDOH and other core processes, and the role of AI and machine learning to target the most vulnerable individuals.

CMS should get more information from Medicare users to help address their health disparities, suggests Ann Maxwell, deputy inspector general for evaluations at the U.S. Department of Health and Human Services Office of Inspector General.

Efforts to connect data from various sources at the population level must also emphasize the principle of simplification, says Charles Sevior, Dell Technologies CTO for Unstructured Data Solutions.

Anita Mahon, executive vice president and global head of healthcare at EXL, discusses how the analytics firm helps payers and providers utilize data within generative AI.

The cochairs of FAST Deepak Sadagopan and Duncan Weatherston say FHIR standards provide a consistent pathway to address the variability and costs of payer and provider data exchange and achieve interoperability goals.

MorganFranklin Consulting’s Ferdinand Hamada and Matt DeFrain offer their perspectives on the current threat environment and how health systems can build better cybersecurity resilience and business continuity strategies.

It is launching a data collaboration lab with Hong Kong Science and Technology Parks.

"By prioritizing healthy data management practices through the deployment of AI, IT leaders can make a huge impact on the day-to-day experiences across a healthcare organization," says one CTO.

Among its success stories, the health system built an app that identifies more than 10 patients each week with potential malnutrition who then are referred to nutritionists.