Document Detail


Intelligent systems in patient monitoring and therapy management. A survey of research projects.
MedLine Citation:
PMID:  7738418     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Although today's advanced biomedical technology provides unsurpassed power in diagnosis, monitoring, and treatment, interpretation of vast streams of information generated by this technology often poses excessive demands on the cognitive skills of health-care personnel. In addition, storage, reduction, retrieval, processing, and presentation of information are significant challenges. These problems are most severe in critical care environments such as intensive care units (ICUs) and operating room (ORs) where many events are life-threatening and thus require immediate attention and the execution of definitive corrective actions. This article focuses on intelligent monitoring and control (IMC), or the use of artificial intelligence (AI) techniques to alleviate some of the common information management problems encountered in health-care environments. This article presents the findings of a survey of over 30 IMC projects. A major finding of the survey is that although significant advances have been made in introducing AI technology in critical care, successful examples of fielded systems are still few and far between. Widespread acceptance of these systems in critical care environments depends on a number of factors, including fruitful collaborations between clinicians and computer scientists, emphasis on evaluation studies, and easy access to clinical information.
Authors:
S Uckun
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  International journal of clinical monitoring and computing     Volume:  11     ISSN:  0167-9945     ISO Abbreviation:  Int J Clin Monit Comput     Publication Date:  1994 Nov 
Date Detail:
Created Date:  1995-06-08     Completed Date:  1995-06-08     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8601284     Medline TA:  Int J Clin Monit Comput     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  241-53     Citation Subset:  IM    
Affiliation:
Knowledge Systems Laboratory, Stanford University, Palo Alto, CA 94304, USA.
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MeSH Terms
Descriptor/Qualifier:
Artifacts
Artificial Intelligence*
Critical Care
Diagnosis, Computer-Assisted
Forecasting
Humans
Intensive Care
Management Information Systems
Monitoring, Physiologic*
Operating Rooms
Patient Care Planning
Research
Signal Processing, Computer-Assisted
Therapy, Computer-Assisted*
Grant Support
ID/Acronym/Agency:
HL-38354/HL/NHLBI NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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