Medical plan-analysis by computer |
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| Authors: | P L Miller |
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| Institution: | 1. Karlsruhe Institute of Technology (KIT), Institute for Applied Materials, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany;2. Department of Mechanical and Aerospace Engineering, University of Miami, Coral Gables, Miami, FL 33124, USA;3. Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA;1. Department of Automation, Tsinghua University, Beijing 100084, China;2. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore;3. Energy Research Institute @ NTU (ERI@N), Nanyang Technological University, Nanyang Avenue, 639798, Singapore;4. State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing 210096, China;1. Institute Human-Computer-Media, University of Würzburg, Germany;2. School of Psychology, The University of Queensland, Brisbane, Australia;3. School of Medicine and School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia;1. Department of Health Research Methods, Evidence and Impact (formerly “Clinical Epidemiology and Biostatistics”), McMaster University, 1280 Main Street West Hamilton, ON L8S 4K1, Canada;2. Department of Internal Medicine, University of Kansas Medical Center, 3901 Rainbow Blvd, MS3002, Kansas City, KS 66160, USA;3. Fundación Universitaria de Ciencias de la Salud, Hospital San José & Hospital Infantil de San José, Cra. 54 #67a80, Bogotá, Colombia;4. Faculty of Medicine, University of British Colombia, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada;5. Center for Medical Biometry and Medical Informatics, University of Freiburg, Stefan-Meier-Straße 26, 79104 Freiburg im Breisgau, Germany;6. Department of Medicine, McMaster University, Health Sciences Centre, 4V33, 1200 Main Street West, Hamilton, ON L8N 3Z5, Canada;7. Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands;8. Department of Medicine, Western University, 1151 Richmond St., London, ON N6A 3K7, Canada;9. Medizinischer Dienst des Spitzenverbandes Bund der Kranken-kassen e.V. (MDS), Theodor Althoff-Str. 47 45133, Essen, Germany;10. Abteilung Medizin. GKV—Reinhardtstraße 28 10117, Berlin, Germany |
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| Abstract: | The traditional approach to computer-assisted medical decision-making involves designing a computer system which simulates a physician's decision-making process. This paper describes a different approach: Medical Plan-Analysis (MPA). Instead of trying to tell a physician how best to manage a patient, an MPA system critiques a physician's management plan. It is anticipated that this approach may have a number of potential social, medical, and medicolegal advantages. The MPA approach has been implemented in ATTENDING, a system designed using Artificial Intelligence techniques to critique a physician's plan for anesthetic management. |
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