The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem

Heath A Davis; Donna A Santillan; Chris E Ortman; Asher A Hoberg; Joseph P Hetrick; Charles W McBrearty; Erliang Zeng; Mary S Vaughan Sarrazin; Karen Dunn Lopez; Cole G Chapman; Ryan M Carnahan; Jacob J Michaelson; Boyd M Knosp

doi:10.1093/jamia/ocad236

Back

The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem

Journal article

Peer reviewed

The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem

Heath A Davis, Donna A Santillan, Chris E Ortman, Asher A Hoberg, Joseph P Hetrick, Charles W McBrearty, Erliang Zeng, Mary S Vaughan Sarrazin, Karen Dunn Lopez, Cole G Chapman, …

Journal of the American Medical Informatics Association : JAMIA, Vol.31(3), pp.720-726

02/16/2024

DOI: 10.1093/jamia/ocad236

PMCID: PMC10873835

PMID: 38102790

Files and links (1)

url

https://www.ncbi.nlm.nih.gov/pmc/articles/10873835View

Open Access

Abstract

This manuscript will be of interest to most Clinical and Translational Science Awards (CTSA) as they retool for the increasing emphasis on translational science from translational research. This effort is an extension of the EDW4R work that most CTSAs have done to deploy infrastructure and tools for researchers to access clinical data. The Iowa Health Data Resource (IHDR) is a strategic investment made by the University of Iowa to improve access to real-world health data. The goals of IHDR are to improve the speed of translational health research, to boost interdisciplinary collaboration, and to improve literacy about health data. The first objective toward this larger goal was to address gaps in data access, data literacy, lack of computational environments for processing Personal Health Information (PHI) and the lack of processes and expertise for creating transformative datasets. A three-pronged approach was taken to address the objective. The approach involves integration of an intercollegiate team of non-informatics faculty and staff, a data enclave for secure patient data analyses, and novel comprehensive datasets. To date, all five of the health science colleges (dentistry, medicine, nursing, pharmacy, and public health) have had at least one staff and one faculty member complete the two-month experiential learning curriculum. Over the first two years of this project, nine cohorts totaling 36 data liaisons have been trained, including 18 faculty and 18 staff. IHDR data enclave eliminated the need to duplicate computational infrastructure inside the hospital firewall which reduced infrastructure, hardware and human resource costs while leveraging the existing expertise embedded in the university research computing team. The creation of a process to develop and implement transformative datasets has resulted in the creation of seven domain specific datasets to date. The combination of people, process, and technology facilitates collaboration and interdisciplinary research in a secure environment using curated data sets. While other organizations have implemented individual components to address EDW4R operational demands, the IHDR combines multiple resources into a novel, comprehensive ecosystem IHDR enables scientists to use analysis tools with electronic patient data to accelerate time to science.

Informatics

team science

electronic health record (EHR)

real-world data

Enterprise Data Warehouse for Research (EDW4R)

work force development

Details

Title: Subtitle: The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem
Creators: Heath A Davis - Office of Information Technology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, United States
Donna A Santillan - Obstetrics and Gynecology, University of Iowa, Iowa City, IA 52242, United States
Chris E Ortman - Office of Information Technology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, United States
Asher A Hoberg - Biomedical Informatics, Institute for Clinical & Translational Science, University of Iowa, Iowa City, IA 52242, United States
Joseph P Hetrick - Research Services, Information Technology Services, University of Iowa, Iowa City, IA 52245, United States
Charles W McBrearty - University of Iowa
Erliang Zeng - University of Iowa
Mary S Vaughan Sarrazin - Center for Access and Delivery Research and Evaluation, Veterans Affairs Medical Center, Iowa City, IA 52246, United States
Karen Dunn Lopez - University of Iowa
Cole G Chapman - University of Iowa
Ryan M Carnahan - University of Iowa
Jacob J Michaelson - Psychiatry, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, United States
Boyd M Knosp - University of Iowa
Resource Type: Journal article
Publication Details: Journal of the American Medical Informatics Association : JAMIA, Vol.31(3), pp.720-726
DOI: 10.1093/jamia/ocad236
PMID: 38102790
PMCID: PMC10873835
NLM abbreviation: J Am Med Inform Assoc
ISSN: 1067-5027
eISSN: 1527-974X
Grant note: P20NR018081 / NINR NIH HHS
Language: English
Electronic publication date: 12/15/2023
Date published: 02/16/2024
Academic Unit: Preventive and Community Dentistry; Communication Sciences and Disorders; Psychiatry; Health Management and Policy; Biostatistics; Nursing; Pharmacy Practice and Science; Injury Prevention Research Center; Dental Support Services; Roy J. Carver Department of Biomedical Engineering; Epidemiology; Iowa Neuroscience Institute; Obstetrics and Gynecology; Dental Research; General Internal Medicine; Medicine Administration; Internal Medicine
Record Identifier: 9984528106402771

Metrics

12 Record Views

10 Times Cited - Web of Science