We stand at the precipice of a global paradigm shift in healthcare. Outdated, overpriced and obtuse “sickcare” systems are failing us. Here comes generative AI, and it’s coming to healthcare just like every other facet of our economy. It’s a powerful transformative technology that is capable of analyzing vast swaths of data, finding patterns and creating entirely new solutions, and it’s poised to transform how we approach health with our way of living, working and healing.
The Congressional Budget Office (CBO) addressed a series of questions from lawmakers on health policy priorities ranging from pharmacy benefit management to Medicare spending. Across two posts issued Friday, the responses stem from two hearings in the House of Representatives held earlier this year. For example, the agency was asked for feedback on the potential use of artificial intelligence and machine learning in modeling the cost of care.
The OIG made three recommendations to the Deputy Secretary related to addressing patient safety and usability issues. The OIG also made six recommendations to the Under Secretary for Health. One recommendation focuses on accurate patient medication data, and three recommendations address patient and provider awareness and evaluation of the risk of harm related to data exchange issues.
Threats to patient safety are still emerging and evolving in a dynamic world. Patient safety research is growing, spanning across more healthcare settings, and considers a wide array of contextual factors. The combination of emerging patient safety threats and the growing amount of published patient safety research, patient safety resources, and accrediting body standards makes it increasingly difficult to prioritize adoption and implementation of evidence-based practices.
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