The valuation and choice of unsuitable open source software in electronic medical record (OSS-EMR) groups negatively affects the functions of organization and business processes. This study provides an insight into the assessment and choice of OSS-EMR groups in two ways. Firstly, quality characteristics are determined to evaluate OSS-EMR sets according to current frameworks and quality models. Secondly, the capabilities of appropriate choose methods for resolving OSS-EMR groups problems are discussed on the basis of Multi-criteria assessment and select issues are considered for choosing the best OSS-EMR. The obtained results can be attributed to the following:(1) quality characteristics considered for the evaluation of OSS-EMR groups; (2) the gap in the assessment criteria used in EMR and other issues; and Multi-Criteria or Multi-Attribute Decision Making techniques used in framework for evaluating and selecting OSS in health informatics as part of a recommended solution.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.