<p> The purpose of this study is to investigate the relationship and pattern of Computerized Physician Order Entry (CPOE) implementation among various ambulatory care settings. With the increasing focus on cost reduction and improved efficiency of the healthcare industry, successful CPOE implementation would benefit many providers. The research entails an analysis of practice setting characteristics that may provide insight to the future of CPOE full adoption. Through secondary data analysis on the responses collected from the Electronic Medical Records Supplemental Survey (within the 2009 National Ambulatory Medical Care Survey), four hypotheses are tested in this study: (a) use of CPOE will be greater in primary practices as opposed to specialists, (b) use of CPOE will be greater amongst group practices and less in solo practices, (c) private practice setting types will have greater implementation patterns of CPOE compared to other setting types, and (d) practices with greater private insurance reimbursements will have greater CPOE utilization. All four hypotheses were tested using a chi-square analysis in order to better examine the relationship between utilization patterns of CPOE and medical care practice characteristics. Although results showed that there are significant associations between CPOE use and practice specialty, type, setting, and type of major payer, there is still a strong lack of adoption in the ambulatory care setting as a whole. The study provides some insight into what types of practices may have lucrative qualities in the future, however the data is reflective of a time when many changes are expected to effect the industry. Not every medical practice has adopted or successfully implemented the first stages of CPOE, however the benefits and the future of healthcare show that many practices will soon be on their way in order to stay profitable.</p>
Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:1527367 |
Date | 08 April 2014 |
Creators | Davidson, Angela R. |
Publisher | California State University, Long Beach |
Source Sets | ProQuest.com |
Language | English |
Detected Language | English |
Type | thesis |
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