Expert Critiquing Systems

1. Front Matter

   Pages i-ix

   PDF

2. Expert Critiquing Systems

   • Perry L. Miller

   Pages 1-20

3. Artificial Intelligence in Medicine (AIM)

   • Perry L. Miller

   Pages 21-28

4. The ATTENDING System: Anesthesiology

   • Perry L. Miller

   Pages 29-51

5. HT-ATTENDING: Essential Hypertension

   • Perry L. Miller

   Pages 53-70

6. VQ-ATTENDING: Goal-Directed Critiquing of Ventilator Management

   • Perry L. Miller

   Pages 71-89

7. PHEO-ATTENDING: Pheochromocytoma Workup and Conflicting Expertise

   • Perry L. Miller

   Pages 91-104

8. ESSENTIAL-ATTENDING: Building Expert Critiquing Systems

   • Perry L. Miller

   Pages 105-125

9. ESSENTIAL-ATTENDING’s Knowledge Exerciser Program

   • Perry L. Miller

   Pages 127-132

10. Lessons Learned: Design Parameters for a Critiquing System

    • Perry L. Miller

    Pages 133-145

11. Future Directions

    • Perry L. Miller

    Pages 147-155

12. Back Matter

    Pages 157-175

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Computer technology has impacted the practice of medicine in dramatic ways. Imaging techniques provide noninvasive tools which alter the diagnostic process. Sophisticated monitoring equipment presents new levels of detail for both patient management and research. In most of these technology applications, the com­ puter is embedded in the device; its presence is transparent to the user. There is also a growing number of applications in which the health care provider directly interacts with a computer. In many cases, these applications are limited to administrative functions, e.g., office practice management, location of hospital patients, appointments, and scheduling. Nevertheless, there also are instances of patient care functions such as results reporting, decision support, surveillance, and reminders. This series, Computers and Medicine, will focus upon the direct use of infor­ mation systems as it relates to the medical community. After twenty-five years of experimentation and experience, there are many tested applications which can be implemented economically using the current generation of computers. More­ over, the falling cost of computers suggests that there will be even more extensive use in the near future. Yet there is a gap between current practice and the state-of­ the-art.

• Hospital
• artificial intelligence
• care
• decision support
• intelligence
• management
• medicine
• patients
• scheduling

• Department of Anesthesiology, Yale University School of Medicine, New Haven, USA

  Perry L. Miller

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