Taking advantage of continuity of care documents to populate a research repository. (15th October 2014)

• Record Type: Journal Article
• Authors: Klann, Jeffrey G; Mendis, Michael; Phillips, Lori C; Goodson, Alyssa P; Rocha, Beatriz H; Goldberg, Howard S; Wattanasin, Nich; Murphy, Shawn N
• Is Part Of: Journal of the American Medical Informatics Association. Volume 22:Number 2(2015:Mar.)
• Page Start: 370
• Page End: 379
• Publication Date: 2014-10-15
• Subjects: Medical Informatics -- Information Storage and Retrieval -- Meaningful Use -- Systems Integration -- Database Management Systems; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1136/amiajnl-2014-003040
• Languages: English
• ISSNs: 1067-5027

Abstract

Abstract: Objective Clinical data warehouses have accelerated clinical research, but even with available open source tools, there is a high barrier to entry due to the complexity of normalizing and importing data. The Office of the National Coordinator for Health Information Technology's Meaningful Use Incentive Program now requires that electronic health record systems produce standardized consolidated clinical document architecture (C-CDA) documents. Here, we leverage this data source to create a low volume standards based import pipeline for the Informatics for Integrating Biology and the Bedside (i2b2) clinical research platform. We validate this approach by creating a small repository at Partners Healthcare automatically from C-CDA documents. Materials and methods We designed an i2b2 extension to import C-CDAs into i2b2. It is extensible to other sites with variances in C-CDA format without requiring custom code. We also designed new ontology structures for querying the imported data. Results We implemented our methodology at Partners Healthcare, where we developed an adapter to retrieve C-CDAs from Enterprise Services. Our current implementation supports demographics, encounters, problems, and medications. We imported approximately 17 000 clinical observations on 145 patients into i2b2 in about 24 min. We were able to perform i2b2 cohort finding queries and view patient information through SMART apps on the imported data. Discussion This low volume import approach can serve small practices with local access to C-CDAs and will allow patient registries to import patient supplied C-CDAs. These components will soon be available open source on the i2b2 wiki. Conclusions Our approach will lower barriers to entry in implementing i2b2 where informatics expertise or data access are limited.