Beyond the gadgets.
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Biomedical subjects
Publications and source records attributed to Nancy M Lorenzi.
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Fifty to seventy percent of information system projects fail. Most of the failures are not the victims of flawed technology, but rather organizational and people related issues. When Vanderbilt University Medical Center began an intensive electronic health record (EHR) effort, a process was carefully designed to select the clinical areas where new tools could be developed and pilot tested. The Success Factor Profile was created to guide the selection of sites most likely to have innovation success. This paper describes both the tools and the processes used to select clinical sites for new computer tools development and pilot implementation. Early results demonstrated that the tools provided structure for the decision making process, permitting side-by-side comparison of "apples and oranges." Selecting the site most likely to succeed with computer application innovation and early implementation has broad applicability in healthcare informatics. Failure to succeed with early system users is not only costly, but also discourages users and developers alike, and may damage the reputation of the tools and systems across the institution.
Information systems fail for a number of reasons. Several failure reasons include communication, complexity, organization, technology, and leadership. Failure can be outlined in four major categories: technical shortcomings, project management shortcomings, organizational issues, and the continuing information explosion. Change management is the process of assisting individuals and organizations in passing from an old way of doing things to a new way of doing things. Change management starts early in a technical process, as the need for making major changes starts at the conceptual level. This paper briefly covers the people side of implementing new information systems, and describes resistance to change and various strategies to manage technological change.
This poster details the design and use of the StarTracker clinical search engine. This program is fully integrated within our electronic medical record system and allows users to enter simple rules that direct formatted searches of multiple legacy databases.
This poster describes the design and functionality of StarLetter, an electronic patient letter generation tool. StarLetter is integrated into the new results feature of the electronic medical record front end allowing the clinicians to generate electronic letters to patients within their workflow.
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