One of the objectives of the U.S. government has been the development of a nationwide health information infrastructure, including adoption and use of an electronic health records (EHR) system. However, a 2008 survey conducted by the National Center for Health Statistics indicated a 41.5% usage of the EHR system by physicians in office-based practices. The purpose of this study was to explore opinions and beliefs on the barriers to the diffusion of an ERH system using Q-methodology. Specifically, the research questions examined the subjectivity in the patterns of perspectives at the preadoption stage of the nonusers and at the postadoption stage of the users of an EHR system to facilitate effective diffusion. Data were collected by self-referred rank ordering of opinions on such barriers and facilitators. The results suggested that the postadoption barriers of time, change in work processes, and organizational factors were critical. Although the time barrier was common, barriers of organizational culture and change in work processes differed among typologies of perspectives at the postadoption stage. Preadoption barriers of finance, organizational culture, time, technology, and autonomy were critical. The typologies of perspectives diverged on critical barriers at the preadoptive stage. A customized solution of an in-house system and training is recommended for perspectives dealing with technical and organizational concerns and a web-based system for perspectives concerned with barriers of finance, technology, and organization. The social impact of tailoring solutions to personal viewpoints would result in the increased sharing of quality medical information for meaningful decision making.
|Commitee:||McCollum, Walter R.|
|Department:||Applied Management and Decision Sciences|
|School Location:||United States -- Minnesota|
|Source:||DAI-A 74/03(E), Dissertation Abstracts International|
|Subjects:||Management, Information Technology, Organizational behavior, Health care management|
|Keywords:||Adoption barriers, Diffusion theory of information, Electronic health records, Health information technology, Q methodology, Technology acceptance model|
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