NDLI: Eliciting end-user expectations to guide the implementation process of a new electronic health record: A case study using concept mapping.

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Eliciting end-user expectations to guide the implementation process of a new electronic health record: A case study using concept mapping.

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Eliciting end-user expectations to guide the implementation process of a new electronic health record: A case study using concept mapping.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Joukes, Erik Cornet, Ronald de Bruijne, Martine C. de Keizer, Nicolette F.
Description	Author Affiliation: Joukes E ( Department of Medical Informatics, Academic Medical Center, University of Amsterdam, P.O. Box 22700, 1100 DE Amsterdam, The Netherlands. Electronic address: e.joukes@amc.uva.nl.); Cornet R ( Department of Medical Informatics, Academic Medical Center, University of Amsterdam, P.O. Box 22700, 1100 DE Amsterdam, The Netherlands); de Bruijne MC ( Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands. Electronic address: mc.debruyne@vumc.nl.); de Keizer NF ( Department of Medical Informatics, Academic Medical Center, University of Amsterdam, P.O. Box 22700, 1100 DE Amsterdam, The Netherlands. Electronic address: n.f.keizer@amc.uva.nl.)
Abstract	OBJECTIVE: To evaluate the usability of concept mapping to elicit the expectations of healthcare professionals regarding the implementation of a new electronic health record (EHR). These expectations need to be taken into account during the implementation process to maximize the chance of success of the EHR. SETTING: Two university hospitals in Amsterdam, The Netherlands, in the preparation phase of jointly implementing a new EHR. During this study the hospitals had different methods of documenting patient information (legacy EHR vs. paper-based records). METHOD: Concept mapping was used to determine and classify the expectations of healthcare professionals regarding the implementation of a new EHR. A multidisciplinary group of 46 healthcare professionals from both university hospitals participated in this study. Expectations were elicited in focus groups, their relevance and feasibility were assessed through a web-questionnaire. Nonmetric multidimensional scaling and clustering methods were used to identify clusters of expectations. RESULTS: We found nine clusters of expectations, each covering an important topic to enable the healthcare professionals to work properly with the new EHR once implemented: usability, data use and reuse, facility conditions, data registration, support, training, internal communication, patients, and collaboration. Average importance and feasibility of each of the clusters was high. CONCLUSION: Concept mapping is an effective method to find topics that, according to healthcare professionals, are important to consider during the implementation of a new EHR. The method helps to combine the input of a large group of stakeholders at limited efforts.
File Format	HTM / HTML
ISSN	13865056
Volume Number	87
e-ISSN	18728243
Journal	International Journal of Medical Informatics
Language	English
Publisher	Elsevier
Publisher Date	2016-03-01
Publisher Place	Ireland
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Medical Informatics Attitude Of Health Personnel Data Collection Standards Electronic Health Records Organization & Administration Utilization Health Knowledge, Attitudes, Practice Health Plan Implementation Methods Practice Guidelines As Topic Attitude To Computers Communication Female Humans Male Journal Article
Content Type	Text
Resource Type	Article
Subject	Health Informatics

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