Using Health Data

As the intersection of health care and technology continues to expand, the role of health information technologies (HIT) is ever more critical. The Health Information Technology Interest Group spoke on a panel on the intersection between HIT and innovation and offer practical challenges of implementing cutting-edge solutions in real-world health care settings.

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.