The clinical adoption meta-model: a temporal meta-model describing the clinical adoption of health information systems

dc.contributor.authorPrice, Morgan
dc.contributor.authorLau, Francis
dc.date.accessioned2015-05-22T17:45:37Z
dc.date.available2015-05-22T17:45:37Z
dc.date.copyright2014en_US
dc.date.issued2014-05-29
dc.descriptionBioMed Centralen_US
dc.description.abstractHealth information systems (HISs) hold the promise to transform health care; however, their adoption is challenged. We have developed the Clinical Adoption Meta-Model (CAMM) to help describe processes and possible challenges with clinical adoption. The CAMM, developed through an action research study to evaluate a provincial HIS, is a temporal model with four dimensions: availability, use, behaviour changes, and outcome changes. Seven CAMM archetypes are described, illustrating classic trajectories of adoption of HISs over time. Each archetype includes an example from the literature. The CAMM and its archetypes can support HIS implementers, evaluators, learners, and researchers.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipWe would like to thank Alberta Health who supported the evaluation work that led to the initial development of this model and Canada Health Infoway and CIHR for their support of the eHealth Observatory where this model has been further refined.en_US
dc.identifier.citationPrice and Lau: The clinical adoption meta-model: a temporal meta-model describing the clinical adoption of health information systems. BMC Medical Informatics and Decision Making 2014 14:43.en_US
dc.identifier.urihttp://www.biomedcentral.com/1472-6947/14/43
dc.identifier.urihttp://dx.doi.org/10.1186/1472-6947-14-43
dc.identifier.urihttp://hdl.handle.net/1828/6199
dc.language.isoenen_US
dc.publisherBMC Medical Informatics and Decision Makingen_US
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ca/*
dc.subjectHealth information systems
dc.subjectAdoption model
dc.subject.departmentSchool of Health Information Science
dc.titleThe clinical adoption meta-model: a temporal meta-model describing the clinical adoption of health information systemsen_US
dc.typeArticleen_US

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