Literature DB >> 22502634

Towards an evaluation framework for information quality management (IQM) practices for health information systems--evaluation criteria for effective IQM practices.

Siti Asma Mohammed1, Maryati Mohd Yusof.   

Abstract

RATIONALE, AIMS AND
OBJECTIVES: Poor information quality (IQ) must be understood as a business problem rather than systems problem. In health care organization, what is required is an effective quality management that continuously manages and reviews the factors influencing IQ in health information systems (HIS) so as to achieve the desired outcomes. Hence, in order to understand the issues of information quality management (IQM) practices in health care organizations, a more holistic evaluation study should be undertaken to investigate the IQM practices in health care organizations. It is the aim of this paper to identify the significant evaluation criteria that influence the production of good IQ in HIS.
METHODS: Six selected frameworks and best practices both from health informatics and information systems literature have been reviewed to identify the evaluation criteria from the perspective of human, organizational and technological factors.
RESULTS: From the review, it was found that human and organization factors are of greater significance in influencing HIS IQ. Our review depicts that there is still shortage in finding a comprehensive IQM evaluation framework. Thus, the criteria from the frameworks reviewed can be used in combination for more comprehensive evaluation criteria. Integrated IQM evaluation criteria for HIS are then proposed in this study.
CONCLUSIONS: Poor IQ is the result of complex interdependency within sociotechnical factors in health care organization and lack of formal and structured IQM practices. Thus, a feedback mechanism such as evaluation is needed to understand the issues in depth in the future.
© 2012 Blackwell Publishing Ltd.

Entities:  

Mesh:

Year:  2012        PMID: 22502634     DOI: 10.1111/j.1365-2753.2012.01839.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  3 in total

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  3 in total

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