The explosion of health-related data has created new opportunities to understand how health care is delivered, paid for and preserved. Health services evidence helps us understand how to identify, validate, share and analyze data to improve health.
2024 NCHS/AcademyHealth Data Visualization Challenge winners leveraged the National Health Interview Survey and the Health and Retirement Study survey to explore differences in hearing difficulty based on demographic and socioeconomic predictors.
Winners of the 2024 NCHS/AcademyHealth Data Visualization Challenge utilized publicly available county-level health data, County Health Rankings, and NCHS datasets to evaluate the relationship between food insecurity and chronic diseases such as diabetes and obesity across various regions of the U.S.
Federal datasets are the backbone of the nation’s ability to inform evidence-based policymaking, support scientific research, and promote societal well-being. The final blog in our data series highlights why it’s imperative to advocate for their preservation and restoration.
As our blog series has highlighted, the removal of public health data has impeded research and has serious implications for the scientific enterprise. In response, several crowdsourcing efforts have emerged in an imperfect effort to fill the gap.
This latest installment in our data series explores the crucial role of data for upholding the principles of scientific integrity—historically a shared priority among those who make decisions about federal support for data access, maintenance, and quality.
AHRQ helps us keep pace with change, by making sure clinical research has real-world impact. Given yesterday’s HHS reorganization announcement, we’re highlighting the agency’s impact on HSR and health systems.
Dr. Philip Payne and Dr. Aditi Gupta offer a resource aimed at equipping health services researchers with the knowledge and capabilities to effectively utilize AI’s advantages.
Researchers from Stanford University and Harvard University explore the use of AI to enhance qualitative analysis for HSR, including challenges, questions for consideration, and assessing utility while models are still improving.
Dr. Wilcox, one of the AcademyHealth’s Leveraging AI for High-Impact Health Research course instructors, shares his perspective on AI’s evolution, from the early days of Deep Blue to the latest breakthroughs in generative AI, and what it means for health research today.
In this report, the Pride Center team summarizes the findings of their CRHE project, which examines the circumstances which initiate health care disparities for the LGBTQ+ community and explores what options can mitigate consequences from care that is delayed or withheld entirely.