TY - JOUR
T1 - Guardian
T2 - A prototype intelligent agent for intensive-care monitoring
AU - Hayes-Roth, Barbara
AU - Washington, Richard
AU - Ash, David
AU - Hewett, Rattikorn
AU - Collinot, Anne
AU - Vina, Angel
AU - Seiver, Adam
N1 - Funding Information:
* This research was conducted while Dr. Hewett and Dr. Collinot were Post-Doctoral Fellows and Professor Vina was a Visiting Scholar at Stanford University. The research was supported by the following grants and contracts: NASA NAG25811 under DARPA Order 6822, NIH 5P41 RR007855, EPRI RP2614444-48, Boeing W2899888. We thank Ed Feigenbaum for sponsoring the research in the Knowledge Systems Laboratory at Stanford University.
PY - 1992/3
Y1 - 1992/3
N2 - Effective monitoring of device-supported patients in the intensive care unit (ICU) is complex, involving interpretation of many variables, comparative evaluation of many therapy options, and control of many patient-management parameters. Even skilled clinicians make errors that limit the quality of care, harm patients, or cause life-threatening situations. A growing body of research aims to improve ICU monitoring with computer technology. Most of this research falls in two areas: (a) short-term engineering of practical solutions to narrowly defined immediate problems (e.g. smart alarm systems); or (b) basic research on fundamental issues potentially relevant to ICU monitoring (e.g. temporal reasoning). By contrast, our project aims to develop a more comprehensive 'intelligent agent', having a broad range of capabilities, to cooperate on the ICU team. We do not aim to produce a practical system suitable for near-term deployment in the ICU, but rather a 'proof of concept', an experimental system that: (a) demonstrably performs and coordinates a range of intelligent reasoning tasks of use in ICU monitoring; (b) does so reliably in a significant range of medical situations; and (c) arguably will scale up to meet the comprehensive set of practical requirements with an appropriate development effort. We have developed an experimental system called Guardian, which exhibits several of the required capabilities and utilizes an underlying architecture hypothesized to support the full range of required capabilities. In this paper, we describe the Guardian system, its architecture, and its current knowledge base. We describe its performance and summarize the results of preliminary evaluations. Finally, we discuss ongoing and planned research on Guardian.
AB - Effective monitoring of device-supported patients in the intensive care unit (ICU) is complex, involving interpretation of many variables, comparative evaluation of many therapy options, and control of many patient-management parameters. Even skilled clinicians make errors that limit the quality of care, harm patients, or cause life-threatening situations. A growing body of research aims to improve ICU monitoring with computer technology. Most of this research falls in two areas: (a) short-term engineering of practical solutions to narrowly defined immediate problems (e.g. smart alarm systems); or (b) basic research on fundamental issues potentially relevant to ICU monitoring (e.g. temporal reasoning). By contrast, our project aims to develop a more comprehensive 'intelligent agent', having a broad range of capabilities, to cooperate on the ICU team. We do not aim to produce a practical system suitable for near-term deployment in the ICU, but rather a 'proof of concept', an experimental system that: (a) demonstrably performs and coordinates a range of intelligent reasoning tasks of use in ICU monitoring; (b) does so reliably in a significant range of medical situations; and (c) arguably will scale up to meet the comprehensive set of practical requirements with an appropriate development effort. We have developed an experimental system called Guardian, which exhibits several of the required capabilities and utilizes an underlying architecture hypothesized to support the full range of required capabilities. In this paper, we describe the Guardian system, its architecture, and its current knowledge base. We describe its performance and summarize the results of preliminary evaluations. Finally, we discuss ongoing and planned research on Guardian.
KW - Guardian
KW - Intensive-care monitoring
KW - knowledge-based systems
UR - http://www.scopus.com/inward/record.url?scp=0026832790&partnerID=8YFLogxK
U2 - 10.1016/0933-3657(92)90052-Q
DO - 10.1016/0933-3657(92)90052-Q
M3 - Article
AN - SCOPUS:0026832790
SN - 0933-3657
VL - 4
SP - 165
EP - 185
JO - Artificial Intelligence In Medicine
JF - Artificial Intelligence In Medicine
IS - 2
ER -