Learning Health System Embedded Scientist Training and Research Center - RDAC

NIH RePORTER · AHRQ · P30 · $166,087 · view on reporter.nih.gov ↗

Abstract

Abstract - UCSF E-STaR Research Data and Analysis Core The UCSF E-STaR Research Data and Analysis Core (RDAC) aims to create, identify, catalogue, and facilitate the dissemination, implementation, and use of scientific information produced by E-STaR Scholars, with a specific focus on AHRQ/PCORI priorities. RDAC will synergize activities with the other E-STaR Cores to achieve the goals of Learning Health Systems (LHS) to continuously generate and implement new evidence in the context of clinical care. RDAC will act as a portal to help LHS scientists identify issues of shared importance across key stakeholders in the health system – leadership, frontline providers, patients and families, researchers, and the larger community. It will provide required access to real-world data derived in the context of clinical care to both monitor improvement processes and support robust evaluation. Equity is the embedded through-line of all Aims, by prioritizing projects targeting healthcare disparities, measurement of outcomes by priority populations, and dissemination strategies that link findings back to representative groups of patients and families served within our healthcare settings. RDAC will rely on the principle of co-production of intervention, evaluation, and dissemination strategies to ensure creation of useful knowledge to achieve the following Aims: Aim 1. To guide E-STaR Scholars' co-production project study design, leveraging EHR- enabled tools and infrastructure. Co-production for Aim 1 requires Scholars to work with E-STaR stakeholders to identify opportunities for knowledge generation in the context of health system initiatives. RDAC targets problems and priority areas identified by the Administrative Core (AC), and supports Scholars to utilize skills and mentorship (particularly for implementation science and Lean methodology) supported by the Research Education Core (REC). Aim 2. To provide analytic support and oversight for E-STaR Scholar projects, RDAC uses co-production to analyze and interpret results so that useful and generalizable knowledge is generated. RDAC's LHS Oversight Committee will rely on priorities (and membership) drawn from the AC, and leverage research, implementation science, and leadership training from REC. Aim 3. To collect, categorize, and disseminate E-STaR Scholars' project's and overall program's findings. Co- production will frame a repository that categorizes opportunities, solutions, and results from Scholars' work to optimally facilitate dissemination and spread of knowledge within UCSF E-STaR sites and nationally. Expected Outcomes of RDAC: RDAC will be the learning laboratory for E-STaR Scholars, and a hub of generalizable knowledge for E-STaR stakeholders and beyond. RDAC will support at least 1 project per Scholar (and ad hoc consultations for UCSF community LHS scientists), will monitor outcomes and record project details (e.g., informatics tool chosen, target population, impact on clinical outcomes), and...

Key facts

NIH application ID
10814493
Project number
1P30HS029738-01
Recipient
UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
Principal Investigator
ANDREW D AUERBACH
Activity code
P30
Funding institute
AHRQ
Fiscal year
2024
Award amount
$166,087
Award type
1
Project period
2024-01-01 → 2028-12-31