On this episode of Managed Care Cast, we interview the lead author of a paper in the Health IT issue of The American Journal of Managed Care.
In recent years, predictive models in medicine have become increasingly popular what with the continued integration of artificial intelligence and data technology into health care. However, these models can carry the risk of bias depending on which individuals make up the data sets.
The close relationship between health care and technology also raises a myriad of questions when it comes to regulation, accountability, and model implementation.
In this month’s Health Information Technology special issue of The American Journal of Managed Care®, Paige Nong, a PhD candidate in public health at the University of Michigan, and colleagues present research on facilitating informed decision-making and communicating equity issues when integrating predictive models into care.
On this episode of Managed Care Cast, Nong outlines how the researchers carried out their study, the ethical challenges of combining computer science with health, and next steps for combatting bias in predictive models.
Listen above or through one of these podcast services:
Frameworks for Advancing Health Equity: Urban Health Outreach
May 9th 2024In the series debut episode of "Frameworks for Advancing Health Equity," Mary Sligh, CRNP, and Chelsea Chappars, of Allegheny Health Network, explain how the Urban Health Outreach program aims to improve health equity for individuals experiencing homelessness.
Listen
Decitabine, Venetoclax Combo Boosts Survival in Patients With AML and MDS
May 16th 2024Study findings demonstrate that combining decitabine with venetoclax enhances molecular response rates in patients with acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS), correlating strongly with improved clinical outcomes and overall survival.
Read More