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Validation and Refinement of a Pain Information Model from EHR Flowsheet Data
Applied Clinical Informatics
|March 15, 2018
Summary
A standardized pain information model (IM) was developed using electronic health record (EHR) data from over 6 million patients. This model enhances data consistency for research and quality reporting, improving pain assessment and management across healthcare systems.
Area of Science:
- Health Informatics
- Clinical Data Standards
- Pain Management Research
Background:
- Electronic health record (EHR) data offers cost-saving potential for research and quality reporting.
- Standardization of EHR flowsheet data is crucial for consistency within and across organizations.
- Customized EHR content leads to duplicative and non-comparable data, hindering interoperability.
Purpose of the Study:
- To validate and refine a pain information model (IM) using EHR flowsheet data.
- To standardize pain concepts, definitions, and value sets for assessments, goals, interventions, and outcomes.
- To improve the generalizability of pain data across different healthcare organizations.
Main Methods:
- A retrospective observational study utilizing an iterative consensus-based approach.
- Mapping, analysis, and evaluation of EHR flowsheet data from 10 participating healthcare organizations.
- Leveraging aggregated metadata from 6.6 million patients and 27 million encounters.
Main Results:
- Development of a final pain IM comprising 30 concepts, 4 panels, and 396 value set items.
- The model is built upon Logical Observation Identifiers Names and Codes (LOINC) pain assessment terms.
- Results indicate a need for additional terms to fully support interoperability.
Conclusions:
- The pain IM is a consensus model derived from actual EHR documentation across multiple health systems.
- The model effectively captures critical concepts related to pain assessment and management.
- This standardized approach enhances the utility of EHR data for pain research and clinical practice.
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