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T systematically locate, register, and abstract information used in comparing effects of various information services (computerized and noncomputerized) and utilization management interventions on the process and outcome of patient care.

Evaluate the effects of long-term maintenance activities on existing portions of a large internal medicine knowledge base.

The Active Digital Library at the Vanderbilt University Medical Center has created and implemented an educational software evaluation process to facilitate the timely recommendation for product acquisition. Using this process, breadth and depth of subject coverage, clarity of presentation, quality of construction, and ease of use are being assessed by content and technical experts. The process uses a team approach, employing a bi-level evaluation instrument based on existing software evaluation [...]

Clinical computing application development at Columbia-Presbyterian Medical Center has been limited by the lack of a flexible programming environment that supports multiple client user platforms. The World Wide Web offers a potential solution, with its multifunction servers, multiplatform clients, and use of standard protocols for displaying information. The authors are now using the Web, coupled with their own local clinical data server and vocabulary server, to carry out rapid prototype [...]

This article begins with a summary of the trend toward a person-based health record, and the need to integrate data from a variety of sources to achieve this. A project is described that demonstrated problems with the structure of nursing care plans. These problems affected the ability to integrate care plan data into a clinical database capable of analysis to link control of process with clinical outcome. A second project [...]

This article explores the application of normative decision theory (NDT) to the challenge of facilitating and measuring patient satisfaction. Patient satisfaction is the appraisal, by an individual, of the extent to which the care provided has met that individual's expectations and preferences. Classic decision analysis provides a graphic and computational strategy to link patient preferences for outcomes to the treatment choices likely to produce the outcomes. Multiple criteria models enable [...]

Adjusting for risk factors, severity of illness, and complexity of care is important when comparing and interpreting outcomes. Current and future approaches for examining risk factors, severity of illness, and complexity of care are described within the contexts of administrative, economic, and clinical outcomes. Reasons why the current standardized instruments, computerized severity systems, and workload/intensity measurements, when used alone, are inadequate for outcomes monitoring are proposed. A more comprehensive model [...]