| Título: | Managing archetypes for sustainable and semantically interoperable electronic health records |
| Autores: |
Garde, Sebastian; Health Informatics Research Group, Central Queensland University; ACACI Austin Health Hovenga, Evelyn JS; Health Informatics Research Group, Central Queensland University Gränz, Jana; Health Informatics Research Group, Central Queensland University; University of Applied Sciences Ulm, Germany Foozonkhah, Shahla; Health Informatics Research Group, Central Queensland University; Tabriz Medical Sciences University, Tabriz, Iran Heard, Sam; Health Informatics Research Group, Central Queensland University; Ocean Informatics |
| Fecha: | 2007-07-02 |
| Publicador: | Electronic journal of health informatics |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: |
Electronic Health Records; openEHR; Archetypes, semantic interoperability; Computerized Medical Record Systems Electronic health records, openEHR, archetypes, semantic interoperability, computerized medical record systems |
| Descripción: | Background: With the release of openEHR Version 1.0 a common Electronic Health Records (EHR) architecture has been defined to pursue the aim of semantic interoperability of Electronic Health Records. Archetypes as clinical content models play a key role in this approach, but their development and maintenance needs to be managed by Knowledge Governance in order to avoid incompatibilities. Objectives: To analyse the functional requirements for supporting Domain Knowledge Governance with Information Technology (like authoring or updating archetypes) and present a prototype implementation. Methods: Requirements analysis using the Unified Modeling Language (UML) and incremental prototyping. A series of archetype workshops were also conducted. Results: For a web-based Archetype Repository, a total of four top-level use cases and 23 refining use cases for 5 different actors were found to be essential. A prototype implementing some of these use cases has been developed and an example process for the coordinated development of archetypes defined. Discussion: We believe that Domain Knowledge Governance is necessary independent of the actual approach and methodology chosen for EHR systems. Appropriate information technology is required to support a clear process for authoring archetypes. Conclusion: High-quality archetypes with high-quality clinical content are the key to semantic interoperability of clinical systems. Domain Knowledge Governance is the key to high quality archetypes. A comprehensive Archetype Repository will render comprehensive Domain Knowledge Governance feasible and efficient. |
| Idioma: | Inglés |
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