Due to current HHS restructuring, the information provided on aspe.hhs.gov is not being updated currently. Please refer to hhs.gov for more information.
An official website of the United States government
Here’s how you know
The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.
The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
This report summarizes the results of the evaluation conducted on different PPRL packages to identify the best fit for CODI. Included in the evaluation are the open source anonlink and the R PPRL package, as well as a commercial product called CURL (Colorado University Record Linkage), developed by the University of Colorado.
The goal of this project was to strengthen the coordinated registry network as a real-world data source for high quality, relevant, reliable, timely and actionable evidence to improve patient outcomes of medical devices, specifically for technologies affecting women’s health.
The 2022 Office of the Secretary Patient-Centered Outcomes Research Trust Fund (OS PCORTF) Annual Report and infographic highlights the accomplishments of 32 multi-agency projects that supports the four goals of the new strategic plan:
The purpose of this project was to develop and test a suite of electronic Care Plan (eCP) tools for adults with multiple chronic conditions (MCC), including an eCP implementation guide specifying data standards and value sets for key use case conditions and two open-source eCP apps (one for patients and one for clinicians).
Executive Summary
Introduction and Background
The Training Data for Machine Learning to Enhance PCOR Data Infrastructure project (hereafter termed the Project) led by the Office of the National Coordinator for Health Information Technology (ONC) conducted foundational work to support future applications of artificial intelligence (AI), specifically focused on machine learnin
Executive summary
This report describes the research plan and results of a PCOR project that followed a statement of work defined in an intra-agency agreement (IAA) between the Office of the Assistant Secretary for Planning and Evaluation (ASPE) and the National Library of Medicine (NLM). ASPE coordinates efforts to build data capacity for patient-centered outcomes research (PCOR).
This is the final report of an AHRQ study to address the operational gap between CFIs and EFIs. This project focused on validating an established CFI using linked claims-EHR databases of multiple large health systems. The project provides a systematic approach that health systems can use to examine the quality of the EHR data and prepare it for the application of EFI measures.