Using Health Data

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.

Longtime Datapalooza supporter and data expert Fred Trotter recorded exclusive interviews with conference speakers and attendees on AcademyHealth’s YouTube channel highlighting topics such as use of AI tools, patient stories, efforts to improve health equity, as well as a special interview with our CEO Dr. Aaron Carroll.

During this one-hour webinar, the ongoing challenges of misinformation as well as innovative approaches to reduce its impact on public health are discussed.

A growing evidence base supports the value of incorporating the patient perspective into research studies and as part of routine care using patient-reported outcome measures (PROMs). The PROTEUS Consortium helps optimize the capture and communication of PROM data in research studies and clinical practice by providing free, publicly available, user-friendly tools and resources.