caa a22 4500 465813720 CHVBK 20180323112121.0 cr unu---uuuuu 170327e19900401xx s 000 0 eng 10.1007/BF01724205 doi (NATIONALLICENCE)springer-10.1007/BF01724205 A parallel software architecture for building intelligent medical monitors [Elektronische Daten] [Michael Factor, Dean Sittig, Aaron Cohn, David Gelernter, Perry Miller, Stanley Rosenbaum] Intensive care units become more complicated each day as the number of devices developed to monitor various aspects of a patient's status continues to increase. Intelligent monitors attempt to reduce this complexity by interpreting the data and presenting a high level summary to the clinician. We propose an innovative parallel software architecture for constructing intelligent medical monitors: theprocess trellis. The process trellis is an explicitly parallel structure, and therefore can take advantage of the performance gains available from parallel computing hardware. It does not, however, presuppose any expertise in parallel programming on the part of the application programmer. A prototype cardiovascular monitor has been built using this parallel software architecture. Preliminary testing of the monitor has shown that real-time cardiovascular monitoring, including data calculations, symbolic classification, and interpretation can be accomplished in real-time. Kluwer Academic Publishers, 1990 monitoring nationallicence software nationallicence parallel computers nationallicence architecture nationallicence expert systems nationallicence Factor Michael Department of Computer Science, Yale University, Yale Station, P.O. Box 2158, 06520, New Haven, CT, USA aut Sittig Dean The Medical Informatics Program, Department of Anesthesiology, Yale University School of Medicine, 06510, New Haven, CT, USA aut Cohn Aaron The Medical Informatics Program, Department of Anesthesiology, Yale University School of Medicine, 06510, New Haven, CT, USA aut Gelernter David Department of Computer Science, Yale University, Yale Station, P.O. Box 2158, 06520, New Haven, CT, USA aut Miller Perry The Medical Informatics Program, Department of Anesthesiology, Yale University School of Medicine, 06510, New Haven, CT, USA aut Rosenbaum Stanley The Medical Informatics Program, Department of Anesthesiology, Yale University School of Medicine, 06510, New Haven, CT, USA aut International journal of clinical monitoring and computing Springer Netherlands 7/2(1990-04-01), 117-128 0167-9945 7:2<117 1990 7 12521 https://doi.org/10.1007/BF01724205 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01724205 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Factor Michael Department of Computer Science, Yale University, Yale Station, P.O. Box 2158, 06520, New Haven, CT, USA aut NATIONALLICENCE 700 1- Sittig Dean The Medical Informatics Program, Department of Anesthesiology, Yale University School of Medicine, 06510, New Haven, CT, USA aut NATIONALLICENCE 700 1- Cohn Aaron The Medical Informatics Program, Department of Anesthesiology, Yale University School of Medicine, 06510, New Haven, CT, USA aut NATIONALLICENCE 700 1- Gelernter David Department of Computer Science, Yale University, Yale Station, P.O. Box 2158, 06520, New Haven, CT, USA aut NATIONALLICENCE 700 1- Miller Perry The Medical Informatics Program, Department of Anesthesiology, Yale University School of Medicine, 06510, New Haven, CT, USA aut NATIONALLICENCE 700 1- Rosenbaum Stanley The Medical Informatics Program, Department of Anesthesiology, Yale University School of Medicine, 06510, New Haven, CT, USA aut NATIONALLICENCE 773 0- International journal of clinical monitoring and computing Springer Netherlands 7/2(1990-04-01), 117-128 0167-9945 7:2<117 1990 7 12521 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer