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An openEHR Approach to Detailed Clinical Model Development: Tobacco Smoking Summary Archetype as a Case Study.
Ping-Cheng Wei1, Koray Atalag1, Karen Day1
1School of Population Health, The University of Auckland, New Zealand, Auckland, New Zealand.
Applied Clinical Informatics
|March 29, 2019
Summary
The openEHR approach successfully aggregates domain expert tacit knowledge into explicit data models using the Clinical Knowledge Manager (CKM) platform. This process enhances data interoperability and accurate patient data capture for electronic health records (EHRs).
Area of Science:
- Health Informatics
- Knowledge Management
- Data Standards Development
Background:
- Electronic Health Record (EHR) data modeling is complex, demanding significant technological and cognitive expertise.
- The openEHR approach aims to improve interoperability and data reuse by making domain expert tacit knowledge explicit within a structured model.
- Tacit knowledge, often implicit, presents challenges in standardization and reuse within healthcare data systems.
Purpose of the Study:
- To explore the process of aggregating tacit knowledge from domain experts into an explicit format using the Clinical Knowledge Manager (CKM) platform.
- To illustrate the explication of tacit knowledge using the Tobacco Smoking Summary archetype as a case study.
- To understand the conditions necessary for successful openEHR archetype development.
Main Methods:
- Observation of discussions among crowdsourced domain experts during two review cycles within the CKM platform.
- Observation of editorial discussions and decision-making processes related to archetype development.
- Thematic analysis of interviews with eight domain experts to deeply investigate the explication of tacit knowledge.
Main Results:
- The Detailed Clinical Model (DCM) development involves iterative expert reviews and editorial decisions until consensus is reached.
- Key themes emerged from expert interviews: the importance of data interoperability and reusability, the accurate capture of patient data, and the inherent challenges in sharing tacit knowledge.
- The CKM platform facilitates a collaborative process where domain experts' tacit knowledge is explicated into publishable DCMs.
Conclusions:
- The openEHR approach, supported by the CKM platform, enables the explication of tacit knowledge into interoperable archetypes.
- Successful development requires leadership, maximal datasets, crowdsourced expertise, editorial vision, and model-driven software.
- This process allows for accurate data collection and future planning by aligning local practices with international interoperability standards.
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