Publication:
MedicalForms: Integrated Management of Semantics for Electronic Health Record Systems and Research Platforms

dc.contributor.authorMoreno-Conde, Jesus
dc.contributor.authorSalas-Fernandez, Samuel
dc.contributor.authorMoreno-Conde, Alberto
dc.contributor.authoraffiliation[Moreno-Conde, Jesus] Hosp Univ Virgen Macarena, Seville 41009, Spain
dc.contributor.authoraffiliation[Moreno-Conde, Alberto] Hosp Univ Virgen Macarena, Seville 41009, Spain
dc.contributor.authoraffiliation[Salas-Fernandez, Samuel] Fdn Publ Andaluza Gest Invest Salud Sevilla, Seville 41013, Spain
dc.contributor.funderAndalusian Ministry of Health and Families
dc.date.accessioned2023-05-03T13:47:13Z
dc.date.available2023-05-03T13:47:13Z
dc.date.issued2022-05-01
dc.description.abstract(1) Background: Clinical information modeling tools are software instruments designed to support the definition of semantic structures able to be implemented in health information systems. Based on the analysis of existing tools, this research developed a tool that proposes new approaches to promoting clinician involvement and supporting information modeling processes through mechanisms that ensure governance, information consistency and consensus building. (2) Method: This research developed the MedicalForms system, which is based on the requirements identified in both a Delphi study about tool requirements and the ISO/TS 13972 specifications. (3) Results: This system allows the management of projects, information structures and implementable forms related to clinical documentation. Users can easily define clinical documents in collaboration with the rest of the professionals in their team by being able to reuse previously defined forms, terminologies and information structures. The system is able to export the defined forms as interoperable specifications or as several implementable form formats compatible with multiple open source EHR systems and research platforms. End user perception of this tool was evaluated through the Technology Acceptance Questionnaire with satisfactory results. Finally, the system was applied to develop 12 research registries and 2 clinical trial research forms, 3 mobile applications and 1 decision support system.
dc.identifier.doi10.3390/app12094322
dc.identifier.essn2076-3417
dc.identifier.unpaywallURLhttps://www.mdpi.com/2076-3417/12/9/4322/pdf?version=1650872631
dc.identifier.urihttp://hdl.handle.net/10668/20795
dc.identifier.wosID795231000001
dc.issue.number9
dc.journal.titleApplied sciences-basel
dc.journal.titleabbreviationAppl. sci.-basel
dc.language.isoen
dc.organizationHospital Universitario Virgen Macarena
dc.organizationFundación Pública Andaluza para la Gestión de la Investigación en Salud de Sevilla-FISEVI
dc.publisherMdpi
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectsemantic interoperability
dc.subjectclinical information modeling
dc.subjectElectronic Health Record
dc.subjectmedical forms
dc.subjectterminology management
dc.subjectresearch registry
dc.subjecthealth data
dc.subjectarchetypes
dc.subjectInformatics
dc.subjectModel
dc.titleMedicalForms: Integrated Management of Semantics for Electronic Health Record Systems and Research Platforms
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number12
dc.wostypeArticle
dspace.entity.typePublication

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