CURATING AN ELECTRONIC HEALTH RECORD RESEARCH QUERY DEFINITION LIBRARY
Author(s)
Lohnes M1, Parker C2, Kamauu AW1
1Anolinx LLC, Salt Lake City, UT, USA, 2Intermountain Healthcare, Logan, UT, USA
Presentation Documents
OBJECTIVES: Widespread adoption of electronic health records (EHRs) results in a wealth of data in structured/codified and unstructured/uncodified electronic formats. Research studies seeking to use these data require translation of narrative research protocols into EHR-friendly queries. This involves interpretation of the protocols, distillation into distinctive query-level components and determination of appropriate code value sets (list of ICD-9 codes, procedure codes, medication codes, etc.). In addition, for studies conducted across multiple disparate EHR data sources, it is essential to ensure queries are conducted in a consistent and comparable manner. EHR-friendly query definitions provide the necessary granularity of information needed to conduct consistent queries across multiple EHR data sources. The objective is to develop and demonstrate the value of a curated EHR research query definition library to improve efficiency of EHR research queries. METHODS: A standard format for electronic research query definitions was established following federal EHR certification standards. A logic format was developed to articulate the research protocol into informaticist terms that lead to data analyst-friendly query statements. Healthcare industry standard vocabulary terminologies are used to develop code value sets. A hosting library was developed to maintain version control and repurposing of developed definitions. RESULTS: Our query definition format, content and time-savings were validated through an iterative process with multiple healthcare informatics systems across a variety of disease therapy areas, including but not limited to: cardiovascular, CNS/neurology, metabolics, nephrology, oncology, pulmonology/respiratory, etc. CONCLUSIONS: An EHR-compatible format for research query definitions expedites the process of data query and analysis. Our Query Definition Library of protocol-specific validated query definitions standardizes queries and expedites future definition development. It also provides ready access to curated standardized EHR-compatible research query definitions to support clinical research studies.
Conference/Value in Health Info
2016-05, ISPOR 2016, Washington DC, USA
Value in Health, Vol. 19, No. 3 (May 2016)
Code
PRM70
Topic
Real World Data & Information Systems
Topic Subcategory
Reproducibility & Replicability
Disease
Multiple Diseases