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      How organizational escalation prevention potential affects success of implementation of innovations: electronic medical records in hospitals

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          Abstract

          Background

          Escalation of commitment is the tendency that (innovation) projects continue, even if it is clear that they will not be successful and/or become extremely costly. Escalation prevention potential (EPP), the capability of an organization to stop or steer implementation processes that do not meet their expectations, may prevent an organization of losing time and money on unsuccessful projects. EPP consists of a set of checks and balances incorporated in managerial practices that safeguard management against irrational (but very human) decisions and may limit the escalation of implementation projects. We study whether successful implementation of electronic medical records (EMRs) relates to EPP and investigate the organizational factors accounting for this relationship.

          Methods

          Structural equation modelling (SEM), using questionnaire data of 427 doctors and 631 nurses who had experience with implementation and use of EMRs in hospitals, was applied to study whether formal governance and organizational culture mediate the relationship between EPP and the perceived added value of EMRs.

          Results

          Doctors and nurses in hospitals with more EPP report more successful implementation of EMR (in terms of perceived added value of the EMR). Formal governance mediates the relation between EPP and implementation success. We found no evidence that open or innovative culture explains the relationship between EPP and implementation success.

          Conclusions

          There is a positive relationship between the level of EPP and perceived added value of EMRs. This relationship is explained by formal governance mechanisms of organizations. This means that management has a set of tangible tools to positively affect the success of innovation processes. However, it also means that management needs to be able to critically reflect on its (previous) actions and decisions and is willing to change plans if elements of EPP signal that the implementation process is hampered.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13012-016-0435-1) contains supplementary material, which is available to authorized users.

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          Most cited references47

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          Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

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            Information Systems Success: The Quest for the Dependent Variable

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              Systematic review: impact of health information technology on quality, efficiency, and costs of medical care.

              Experts consider health information technology key to improving efficiency and quality of health care. To systematically review evidence on the effect of health information technology on quality, efficiency, and costs of health care. The authors systematically searched the English-language literature indexed in MEDLINE (1995 to January 2004), the Cochrane Central Register of Controlled Trials, the Cochrane Database of Abstracts of Reviews of Effects, and the Periodical Abstracts Database. We also added studies identified by experts up to April 2005. Descriptive and comparative studies and systematic reviews of health information technology. Two reviewers independently extracted information on system capabilities, design, effects on quality, system acquisition, implementation context, and costs. 257 studies met the inclusion criteria. Most studies addressed decision support systems or electronic health records. Approximately 25% of the studies were from 4 academic institutions that implemented internally developed systems; only 9 studies evaluated multifunctional, commercially developed systems. Three major benefits on quality were demonstrated: increased adherence to guideline-based care, enhanced surveillance and monitoring, and decreased medication errors. The primary domain of improvement was preventive health. The major efficiency benefit shown was decreased utilization of care. Data on another efficiency measure, time utilization, were mixed. Empirical cost data were limited. Available quantitative research was limited and was done by a small number of institutions. Systems were heterogeneous and sometimes incompletely described. Available financial and contextual data were limited. Four benchmark institutions have demonstrated the efficacy of health information technologies in improving quality and efficiency. Whether and how other institutions can achieve similar benefits, and at what costs, are unclear.
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                Author and article information

                Contributors
                mattijs.lambooij@rivm.nl
                Journal
                Implement Sci
                Implement Sci
                Implementation Science : IS
                BioMed Central (London )
                1748-5908
                20 May 2016
                20 May 2016
                2015
                : 11
                : 75
                Affiliations
                [ ]Department of Quality in Health Care and Health Economics, National Institute of Public Health and the Environment, A van Leeuwenhoeklaan 9, 3720 BA Bilthoven, The Netherlands
                [ ]Department of Sociology, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3000 DR Rotterdam, The Netherlands
                [ ]TIAS School for Business and Society, Warandelaan 2, Tias Building, 5037 AB Tilburg, The Netherlands
                Article
                435
                10.1186/s13012-016-0435-1
                4875635
                27206920
                1ec1d758-ed07-421f-845b-1a2f06bd49c6
                © Lambooij and Koster. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 7 October 2015
                : 6 May 2016
                Funding
                Funded by: RIVM, Strategic Research RIVM
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Medicine
                technology implementation,escalation of commitment,escalation prevention potential,electronic medical record,perceived added value

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