Health Equity (127)

Gabriel Seidman, director of policy at Ellison Institute of Technology, discusses the paper he and his colleagues penned on the need for governments to develop and fund enterprise architecture to solve major health issues such as homelessness.

Building valuable artificial intelligence models requires gathering good quality data for every population and data validation, says Luis Ahumada, director of health data science and analytics at Johns Hopkins All Children's Hospital.

Don Rucker, chief strategy officer for 1upHealth, says with HTI-1 finalized, EHR vendors are going to have to figure out electronic case reporting while providers will have to get social determinants of health into their workflows.

Anne Snowdon, chief research officer at HIMSS, discusses the promise of artificial intelligence in healthcare – and describes how the health systems she works with are using it to clinical and operational challenges.

Brian Esterly, CEO of TimeDoc Health, discusses key social determinants of health issues, the rise in comorbidities complicating the delivery of care, healthcare deserts, and how health IT can serve as a bridge to all of these patients.

Dr. Michael Howell, chief clinical officer at Google, discusses the evolution of the company's medically tuned LLM, how AI can improve health equity and recommendations for regulators constructing rules around AI use in healthcare.

Post-pandemic health equity can be fueled by investments in social work and technologies that make resources accessible to all people, says Felisha Norrington, director of academic assistance at GSU's College of Nursing and Health Professions.

Since 97% of American adults have a cell phone, keeping in contact is a good way to intervene in health issues and lower disparities, says Marci Bennafield, clinical instructor at Georgia State University's health informatics program.

Dr. Michael Poku, chief clinical officer at Equality Health, talks how providers can work on costs of health inequities, the benefits of investment in independent primary care physicians, and tech needed to successfully tackle inequity.

Elise Kohl-Grant, co-chair of the programming committee at the HIMSS New York State Chapter, says the group is incorporating the patient perspective to see how individuals are engaging with their care.

As a starting point, plans can collect information on race and ethnicity from their members, says Leah Dewey, vice president of clinical and consumer engagement operations at Cotiviti.

Rep. Don Beyer of Virginia talks about exciting developments in AI and machine learning models that might lead to faster detection of breast and pancreatic cancer and improved outcomes for patients.