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Methods Inf Med 1993; 32(04): 317-325
DOI: 10.1055/s-0038-1634933
Original Article
Schattauer GmbH

A Methodology for Determining Patients’ Eligibility for Clinical Trials

S. W. Tu
1   Section on Medical Informatics, Stanford, CA, USA
,
C. A. Kemper
2   Division of Infectious Diseases and Geographic Medicine, Stanford, CA, USA
4   Division of Infectious Disease, Santa Clara Valley Medical Center, San Jose, CA USA
5   AIDS Community Research Consortium, Redwood City, CA, USA
,
N. M. Lane
1   Section on Medical Informatics, Stanford, CA, USA
,
R. W. Carlson
3   Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
,
M. A. Musen
1   Section on Medical Informatics, Stanford, CA, USA
› Author AffiliationsThis work was supported by grant HS06330 from the Agency for Health Care Policy and Research, and by grants LM05305 and LM05208 from the National Library of Medicine. We thank Lucila Ohno-Machado for many discussions and Lyn Dupre for valuable comments on the paper.
Further Information

Publication History

Publication Date:
06 February 2018 (online)

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Abstract

The task of determining patients’ eligibility for clinical trials is knowledge and data intensive. In this paper, we present a model for the task of eligibility determination, and describe how a computer system can assist clinical researchers in performing that task. Qualitative and probabilistic approaches to computing and summarizing the eligibility status of potentially eligible patients are described. The two approaches are compared, and a synthesis that draws on the strengths of each approach is proposed. The result of applying these techniques to a database of HIV-positive patient cases suggests that computer programs such as the one described can increase the accrual rate of eligible patients into clinical trials. These methods may also be applied to the task of determining from electronic patient records whether practice guidelines apply in particular clinical situations.

Key-Words

Computer-Based Problem Solving - Clinical Trials - Protocol-Directed Care
 

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