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PubMed · 11080032

Managing the primary care practice on the Web

Abstract

Physicians and administrators have little hope of responding appropriately to the challenges of the health care market without data to support decision making. Desired Mayo Clinic s Primary Care Practice was to have the ability to access and integrate data from many platforms in many formats from the Enterprise and bring this information to the desktop in a robust interactive display. The solution was delivery of the data to the Web through an interface using Java with access to Online Analytical Processing (OLAP) tools for summarization, graphical display and reporting. Communicating major trends, assisting in planning and management, visually displaying alerts in summary data and individual patients that are all possible through an easy-to-use Web application. To really understand what the summarized data represents, the physicians must be able to drill down, download and explore their own detail data. A pilot project was developed to test the capabilities of the development environment, the acceptance Web tools, the ability to deliver timely information and the methodology of using a multi-dimensional database to define the data. The Family Medicine practice at four separate locations was chosen for the demonstration project. Two practices in Rochester, MN and practices in two smaller towns, totaling 50 physicians and administrative personnel, were the first clients using the system. A cross-functional team examined a variety of development issues such as data sources, data definitions, levels of security, data analysis types, and style of display. Demonstrations of the prototype met with an overwhelming positive response from administrators and department leaders. The Physician Patient Management solution collects, analyzes, and communicates the information needed to meet today s health care challenges.

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BibTeXRIS

Van Grevenhof P, AS Rahman, R Cabanela, J Naessens, D Lassig. 2000. Managing the primary care practice on the Web. https://pubmed.ncbi.nlm.nih.gov/11080032/

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