Identification of Opportunities and Limitations
Just as no two system implementations are the same, no two evaluation plans are, either. Every system implementation has unique attributes that require the development of a unique evaluation plan; however, nurse informaticists may be able to reuse parts of evaluation plans in similar practice settings or expanded research efforts. When considering existing evaluation plans for future use, it is important not to overlook a plan’s limitations. These limitations may lead to unintended consequences if they are not examined with a keen eye.
In this Discussion, you analyze the limitations of your evaluation plan and opportunities for future application. In addition, you develop strategies for minimizing unintended consequences resulting from your own evaluation plan.
To prepare:
By tomorrow Tuesday 1/31/17, post minimum of 550 words in APA format with a minimum of 3 references from the list below. Include the level one headers as numbered below:
1) A brief summary of the limitations of your evaluation plan.
2) Also describe future opportunities that could build upon your evaluation plan.
3) Summarize the article you identified that deals with unintended consequences, and outline strategies for avoiding unintended consequences stemming from your own evaluation plan. Include the reference in proper APA format. (See Attached PDF)
Required Readings
Bethell, C. D., Kogan, M. D., Strickland, B. B., Schor, E. L., Robertson, J., & Newacheck, P. W. (2011). A national and state profile of leading health problems and health care quality for US children: Key insurance disparities and across-state variations. Academic Pediatrics, 11(Supp 3), S22–S33.
Retrieved from the Walden Library databases.
This article describes a study that evaluated the commonality of health problems and special health care needs in children at the national and state levels in the United States. The study examined issues surrounding health care quality in relation to insurance, access to care, special needs, and demographics.
Bloomrosen, M., Starren, J., Lorenzi, N. M., Ash, J. S., Patel, V. L., & Shortliffe, E. H. (2011). Anticipating and addressing the unintended consequences of health IT and policy: A report from the AMIA 2009 Health Policy Meeting. Journal of the American Medical Informatics Association, 18(1), 82–90.
Retrieved from the Walden Library databases.
The authors of this article highlight discussions from the American Medical Informatics Association’s 2009 Annual Health Policy Meeting. In the article, the authors outline the conference’s recommendations for coping with unintended, unanticipated, and undesirable consequences of health information technology implementation.
Jimmieson, N. L., & Griffin, M. A. (1998). Linking client and employee perceptions of the organization: A study of client satisfaction with health care services. Journal of Occupational and Organizational Psychology, 71(1), 81–96.
Retrieved from the Walden Library databases.
The authors of this article describe a study that sought to determine how organizational characteristics may serve as predictors of client satisfaction. In addition, the authors make recommendations for future research involving employee perceptions of working environments.
Novak, L. L., Anders, S., Gadd, C. S., & Lorenzi, N. M. (2012). Mediation of adoption and use: A key strategy for mitigating unintended consequences of health IT implementation. Journal of the American Medical Informatics Association, 19(6), 1043–1049.
Retrieved from the Walden Library databases.
In this article, the authors explore the work of nurses who serve as mediators of the adoption and use of a Bar Code Medication Administration (BCMA) system. The authors identify three key themes that are critical to mediation work.
Romano, M. J., & Stafford, R. S. (2011). Electronic health records and clinical decision support systems: Impact on national ambulatory care quality. Archives of Internal Medicine, 171(10), 897–903. Retrieved from http://archinte.jamanetwork.com/article.aspx?articleid=227364
This article describes an analysis of data from the 2005–2007 National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey. The analysis focuses on whether a higher quality of care can be correlated with the introduction of electronic health records and clinical decision support systems.
Walden University. (2012). Presentations. Retrieved from http://writingcenter.waldenu.edu/1331.htm
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