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Medical Decision Making
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*Biodefense and Bioterrorism
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A Conceptual Framework for Evaluating Information Technologies and Decision Support Systems for Bioterrorism Preparedness and Response

Dena M. Bravata, MD, MS

Center for Primary Care and Outcomes Research, Stanford University, Stanford, California

Kathryn M. McDonald, MM

Center for Primary Care and Outcomes Research, Stanford University, Stanford, California

Herbert Szeto, MD, MS, MPH

Department of Internal Medicine, Kaiser Permanente, Redwood City, California

Wendy M. Smith, BA

Center for Primary Care and Outcomes Research, Stanford University, Stanford, California

Chara Rydzak, BA

Center for Primary Care and Outcomes Research, Stanford University, Stanford, California

Douglas K. Owens, MD, MS

Center for Primary Care and Outcomes Research, Stanford University, Stanford, California, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California, Department of Health Research & Policy, Stanford University School of Medicine, Stanford, California

Objectives. The authors sought to develop a conceptual framework for evaluating whether existing information technologies and decision support systems (IT/DSSs) would assist the key decisions faced by clinicians and public health officials preparing for and responding to bioterrorism. Methods. They reviewed reports of natural and bioterrorism related infectious outbreaks, bioterrorism preparedness exercises, and advice from experts to identify the key decisions, tasks, and information needs of clinicians and public health officials during a bioterrorism response. The authors used task decomposition to identify the subtasks and data requirements of IT/DSSs designed to facilitate a bioterrorism response. They used the results of the task decomposition to develop evaluation criteria for IT/DSSs for bioterrorism preparedness. They then applied these evaluation criteria to 341 reports of 217 existing IT/DSSs that could be used to support a bioterrorism response. Main Results. In response to bioterrorism, clinicians must make decisions in 4 critical domains (diagnosis, management, prevention, and reporting to public health), and public health officials must make decisions in 4 other domains (interpretation of bioterrorism surveillance data, outbreak investigation, outbreak control, and communication). The time horizons and utility functions for these decisions differ. From the task decomposition, the authors identified critical subtasks for each of the 8 decisions. For example, interpretation of diagnostic tests is an important subtask of diagnostic decision making that requires an understanding of the tests’ sensitivity and specificity. Therefore, an evaluation criterion applied to reports of diagnostic IT/DSSs for bioterrorism asked whether the reports described the systems’ sensitivity and specificity. Of the 217 existing IT/DSSs that could be used to respond to bioterrorism, 79 studies evaluated 58 systems for at least 1 performance metric. Conclusions. The authors identified 8 key decisions that clinicians and public health officials must make in response to bioterrorism. When applying the evaluation system to 217 currently available IT/DSSs that could potentially support the decisions of clinicians and public health officials, the authors found that the literature provides little information about the accuracy of these systems.

Key Words: decision support techniques • bioterrorism • public health • information systems • expert system

Medical Decision Making, Vol. 24, No. 2, 192-206 (2004)
DOI: 10.1177/0272989X04263254


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