Literature DB >> 17964851

An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit).

Maryati Mohd Yusof1, Jasna Kuljis, Anastasia Papazafeiropoulou, Lampros K Stergioulas.   

Abstract

BACKGROUND AND
PURPOSE: The realization of Health Information Systems (HIS) requires rigorous evaluation that addresses technology, human and organization issues. Our review indicates that current evaluation methods evaluate different aspects of HIS and they can be improved upon. A new evaluation framework, human, organization and technology-fit (HOT-fit) was developed after having conducted a critical appraisal of the findings of existing HIS evaluation studies. HOT-fit builds on previous models of IS evaluation--in particular, the IS Success Model and the IT-Organization Fit Model. This paper introduces the new framework for HIS evaluation that incorporates comprehensive dimensions and measures of HIS and provides a technological, human and organizational fit.
METHODS: Literature review on HIS and IS evaluation studies and pilot testing of developed framework. The framework was used to evaluate a Fundus Imaging System (FIS) of a primary care organization in the UK. The case study was conducted through observation, interview and document analysis.
RESULTS: The main findings show that having the right user attitude and skills base together with good leadership, IT-friendly environment and good communication can have positive influence on the system adoption.
CONCLUSIONS: Comprehensive, specific evaluation factors, dimensions and measures in the new framework (HOT-fit) are applicable in HIS evaluation. The use of such a framework is argued to be useful not only for comprehensive evaluation of the particular FIS system under investigation, but potentially also for any Health Information System in general.

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Mesh:

Year:  2007        PMID: 17964851     DOI: 10.1016/j.ijmedinf.2007.08.011

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  73 in total

Review 1.  Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals.

Authors:  Marie-Pierre Gagnon; Marie Desmartis; Michel Labrecque; Josip Car; Claudia Pagliari; Pierre Pluye; Pierre Frémont; Johanne Gagnon; Nadine Tremblay; France Légaré
Journal:  J Med Syst       Date:  2010-03-30       Impact factor: 4.460

2.  End-user support for primary care electronic medical records: a qualitative case study of users' needs, expectations and realities.

Authors:  Aviv Shachak; Catherine Montgomery; Rustam Dow; Jan Barnsley; Karen Tu; Alejandro R Jadad; Louise Lemieux-Charles
Journal:  Health Syst (Basingstoke)       Date:  2013-11-01

3.  An information systems model of the determinants of electronic health record use.

Authors:  P Messeri; S Khan; M Millery; A Campbell; J Merrill; S Shih; R Kukafka
Journal:  Appl Clin Inform       Date:  2013-04-17       Impact factor: 2.342

4.  A Conceptual Measurement Model for eHealth Readiness: a Team Based Perspective.

Authors:  James Phillips; Simon K Poon; Dan Yu; Mary Lam; Monique Hines; Melissa Brunner; Emma Power; Melanie Keep; Tim Shaw; Leanne Togher
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

5.  People, Process and Technology: Strategies for Assuring Sustainable Implementation of EMRs at Public-Sector Health Facilities in Kenya.

Authors:  Samuel G Kang'a; Veronica M Muthee; Nzisa Liku; Diana Too; Nancy Puttkammer
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

6.  The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records.

Authors:  Roxanne Maritz; Dominik Aronsky; Birgit Prodinger
Journal:  Appl Clin Inform       Date:  2017-12-20       Impact factor: 2.342

Review 7.  Clinical Information Systems - From Yesterday to Tomorrow.

Authors:  R M Gardner
Journal:  Yearb Med Inform       Date:  2016-06-30

8.  Beyond BMI: a feasibility study implementing NutriSTEP in primary care practices using electronic medical records (EMRs).

Authors:  Lesley Andrade; Kathy Moran; Susan J Snelling; Darshaka Malaviarachchi; Joanne Beyers; Kelsie Near; Janis Randall Simpson
Journal:  Health Promot Chronic Dis Prev Can       Date:  2020-01       Impact factor: 3.240

9.  Evaluating a federated medical search engine: tailoring the methodology and reporting the evaluation outcomes.

Authors:  D Saparova; J Belden; J Williams; B Richardson; K Schuster
Journal:  Appl Clin Inform       Date:  2014-08-13       Impact factor: 2.342

10.  Assessing organizational capacity for achieving meaningful use of electronic health records.

Authors:  Christopher M Shea; Robb Malone; Morris Weinberger; Kristin L Reiter; Jonathan Thornhill; Jennifer Lord; Nicholas G Nguyen; Bryan J Weiner
Journal:  Health Care Manage Rev       Date:  2014 Apr-Jun
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