Intelligent systems in patient monitoring and therapy management. A survey of research projects.
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.
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Knowledge Systems Laboratory, Stanford University, Palo Alto, CA 94304, USA.
D016477:Artifacts; D001185:Artificial Intelligence; D003422:Critical Care; D003936:Diagnosis, Computer-Assisted; D005544:Forecasting; D006801:Humans; D008331:Management Information Systems; D008991:Monitoring, Physiologic; D009873:Operating Rooms; D010347:Patient Care Planning; D012106:Research; D012815:Signal Processing, Computer-Assisted; D013813:Therapy, Computer-Assisted