Biomedical subjects

J R Schubart

Publications and source records attributed to J R Schubart.

4 recordsLinked to original sources

PubMed2001

Case study: a data warehouse for an academic medical center.

The clinical data repository (CDR) is a frequently updated relational data warehouse that provides users with direct access to detailed, flexible, and rapid retrospective views of clinical, administrative, and financial patient data for the University of Virginia Health System. This article presents a case study of the CDR, detailing its five-year history and focusing on the unique role of data warehousing in an academic medical center. Specifically, the CDR must support multiple missions, including research and education, in addition to administration and management. Users include not only analysts and administrators but clinicians, researchers, and students.

Academic Medical Centers↗

PubMed2001

Algorithm-based decision rules to safely reduce laboratory test ordering.

PURPOSE: Our study develops decision rules to define appropriate intervals at which repeat tests might be indicated for commonly ordered laboratory tests for hospitalized patients. METHODS: The final data set includes 5,632 adult patients admitted to the University of Virginia Hospital between July 1995 and December 1999. These patients had a hospital length of stay of five days or more and had results recorded for three routinely ordered laboratory tests for each of the first five days of their hospitalization. We use the serum potassium test to illustrate our algorithm-based decision rule methodology. RESULTS: Our decision rule begins with testing on the first two days of hospitalization and allows for repeat testing after observation of any non-normal values. The results show that the algorithm-based decision rule would lead to a 34% reduction for serum potassium tests for the first five days of hospitalization. Only one out of the 5,632 patients in our sample had a critical value that occurred only on a non-test day and, thus, was missed by the algorithm. CONCLUSIONS: The algorithm results are encouraging. We demonstrate that the number of tests can be reduced while missing critical values in only a small fraction of patients. Testing algorithms such as these can be used to reduce laboratory test ordering without compromising the quality of patient care.

Adult↗

PubMed2000

Evaluation of a data warehouse in an academic health sciences center.

OBJECTIVES: The Clinical data repository (CDR) at the University of Virginia Health System is a data warehouse that provides direct access to data for clinical research and effective decision making. We undertook an evaluation of the CDR to understand factors affecting its adoption. DESIGN: We used a theoretical framework that is based on diffusion of innovation theory. Building on validated survey instruments, we developed a questionnaire and conducted interviews of key executive leaders. Fifty-three individuals with logon ids to the CDR completed our questionnaire. Twelve executive leaders were interviewed. MEASUREMENTS: The outcome variables were the initial and continued use of the CDR. Independent variables included attributes suggested by diffusion theory (i.e. relative advantage, complexity), knowledge and skills expected to correlate with computer usage, and the influence of communication channels. RESULTS: Our overall response rate was 82%. We identified characteristics of users associated with the initial decision to use the CDR. Compatibility with an individual's skills and work style was associated strongly with satisfaction and continued use. Secondly, the importance of organizational culture and the need for data was illuminated by management interviews. CONCLUSIONS: We have shown that diffusion of innovation theory can be used to help understand factors contributing to the success of a data warehouse in a healthcare setting. Our results suggest areas for future research and inquiry as the CDR evolves.

Academic Medical Centers↗

PubMed1999

Evaluation of a data warehouse in an academic health sciences center.

A data warehouse can provide significant benefits to a health care organization if successfully designed and implemented. The Clinical Data Repository (CDR) at the University of Virginia Health Sciences Center improves access to needed data for clinical research and effective decision making at many levels of the organization. We conducted an evaluation of the CDR using a survey questionnaire and interviews of key executive leaders. Our results suggest factors that influence the initial decision to use an information resource, examine the impact of communication channels, and highlight key issues that determine the continued use and ultimate success of a healthcare data warehouse.

Academic Medical Centers↗