The National Institutes of Health is seeking comment from industry on a new artificial intelligence strategy for the agency. Principal Deputy Director of the NIH Matthew Memoli, M.D., announced the RFI at the Coalition for Health AI’s semi-annual meeting at Stanford Medicine on Thursday. The forthcoming plan adds to the pro-AI stance of the administration and to explicit actions to center the use of the technology with the Department of Health and Human Services (HHS).
On June 4, the U.S. Department of Health and Human Services (HHS), Office for Civil Rights (OCR), announced the appointment of Paula M. Stannard as director of the OCR. In this role, Stannard serves as the department’s chief officer and adviser to Secretary Robert F. Kennedy, Jr., regarding the implementation, compliance, and enforcement of federal health information privacy, security, and breach notification rules under the Health Insurance Portability and Accountability Act (HIPAA).
The healthcare industry is still feeling the aftershocks of the pandemic, especially when it comes to staffing. By 2028, the U.S. is projected to face a shortage of more than 73,000 nurse assistants (NAs) and 63,000 registered nurses (RNs) by 2030. However, nurses aren’t leaving because of long hours—they’re walking away from broken systems.
High workloads, time constraints, misalignment of financial incentives and individuals’ health literacy are among the chief roadblocks for hospitals’ delivery of high-quality care to socially disadvantaged patients, according to more than 1,000 surveyed nurses. On the other hand, adoption of new technologies that can help overcome language barriers and programs linking hospital care to community support services were emphasized by the nurses as key resources when caring for these patients.
Low-income patients are less likely to see their insurance claim denials reversed, researchers from the University of Massachusetts Amherst and the University of Toronto found. The new report in Health Affairs analyzed Affordable Care Act marketplace and employer-sponsored insurance claims to find disparities between income, race, education and other demographical features. Researchers concluded low-income patients bear a larger burden for claims denials than higher-income enrollees.
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