The goal of the CEPI Evidence Discovery and Retrieval (CEDAR) project is to make patient-centered outcomes research findings within AHRQ repositories more FAIR - findable, accessible, interoperable, and reusable - through technologies used by clinicians, researchers, implementers, patients, and others.
The aim of this research is to implement a clinical decision support tool to provide clinicians patient-specific and evidence-based treatment recommendations regarding the recognition and management of high blood pressure and hypertension in children and adolescents.
This research aims to determine the effectiveness of a program designed to reduce medication-related issues among patients during the hospital-to-skilled nursing facility transition.
The research team will implement and evaluate an integration application that incorporates relevant health information exchange data directly into the electronic health record in the emergency department.
The overall goal of the research is to advance the integration and use of patient-generated digital health data in ambulatory care settings.
This research will validate a shared decision making tool integrated with patient-reported outcomes and clinical data from electronic health records for enabling decision support in patients with knee osteoarthritis considering total knee replacement.
The purpose of this research is to develop a standards-based, interoperable, and publicly available clinical decision support resource to aid primary care practices in instituting routine fall risk assessment and prevention care plans.
This research aims to develop and test a voice-activated smart system that will promote self-management and provide coping tools, motivation, and social support to help older adults with multiple chronic conditions.
This research aims to develop and evaluate a clinical decision support strategy to promote influenza vaccination among children who are hospitalized with the goal to identify insights that broadly apply to clinical decision support for health maintenance interventions in pediatric acute care settings.
This research aims to enhance and implement a clinical decision support tool that will support providers and underinsured patients in making personalized decisions regarding diet goal setting.