Achieving Data Liquidity: Lessons Learned from Analysis of 38 Clinical Registries (The Duke-Pew Data Interoperability Project.
Abstract
BACKGROUND:To assess the current state of clinical data interoperability, we evaluated the use of data standards across 38 large professional society registries. METHODS:The analysis included 4 primary components: 1) environmental scan, 2) abstraction and cross-tabulation of clinical concepts and corresponding data elements from registry case report forms, dictionaries, and / or data models, 3) cross-tabulation of same across national common data models, and 4) specifying data element metadata to achieve native data interoperability. RESULTS:The registry analysis identified approximately 50 core clinical concepts. None were captured using the same data representation across all registries, and there was little implementation of data standards. To improve technical implementation, we specified 13 key metadata for each concept to be used to achieve data consistency. CONCLUSION:The registry community has not benefitted from and does not contribute to interoperability efforts. A common, authoritative process to specify and implement common data elements is greatly needed.
Type
Department
Description
Provenance
Subjects
Citation
Permalink
Collections
Scholars@Duke
James Enlou Tcheng
In addition to my clinical responsibilities as an interventional cardiologist, my research interests include the study of antithrombotic therapies in cardiovascular disease, clinical informatics, artificial intelligence, and information technology systems.
I have conducted and participated in numerous clinical trials, including the EPIC, PROLOG, EPILOG, EPISTENT, IMPACT, IMPACT II, TOTAL, PRIDE, ESPRIT, MEND-1, ELECT, and SUPPORT Trials.
My areas of expertise are an outgrowth of my clinical research, and includes use of the new antiplatelet therapeutics in the treatment of coronary artery disease; treatment of unstable angina and acute myocardial infarction; quality assurance and quality improvement; application of informatics and information technology to the delivery of care; and the application of excimer laser coronary angioplasty in the treatment of coronary artery disease.
My current focus is in clinical informatics, including initiatives spanning professional societies, regulatory and other government agencies, industry, and non-governmental organizations to develop clinical data standards, interoperability solutions, and to integrate structured reporting into clinical workflows. This includes harmonizing the clinical definitions of cardiovascular concepts across academia, regulatory agencies, the life sciences industry, professional societies, and standards organizations, to improve the capture, communication, interoperability, and analysis of healthcare information.
Key words: angioplasty, excimer laser, platelet glycoproteins, computers, clinical trials, clinical informatics.
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.