A client/server system for remote diagnosis of cardiac arrhythmias.
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| Titel: | A client/server system for remote diagnosis of cardiac arrhythmias. |
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| Autoren: | Tong DA; Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, USA., Gajjala V, Widman LE |
| Quelle: | Proceedings. Symposium on Computer Applications in Medical Care [Proc Annu Symp Comput Appl Med Care] 1995, pp. 601-5. |
| Publikationsart: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: American Medical Informatics Association (Amia) Country of Publication: United States NLM ID: 8113685 Publication Model: Print Cited Medium: Print ISSN: 0195-4210 (Print) Linking ISSN: 01954210 NLM ISO Abbreviation: Proc Annu Symp Comput Appl Med Care Subsets: MEDLINE |
| Imprint Name(s): | Publication: Bethesda Md : American Medical Informatics Association (Amia) Original Publication: New York : Long Beach, Calif. : Institute of Electrical and Electronics Engineers ; Available from IEEE Computer Society, c1977-c1995. |
| MeSH-Schlagworte: | Computer Systems* , Electrocardiography* , Telemedicine*, Arrhythmias, Cardiac/*diagnosis, Artificial Intelligence ; Computer Communication Networks ; Humans ; Microcomputers ; Remote Consultation ; Software |
| Abstract: | Health care practitioners are often faced with the task of interpreting complex heart rhythms from electrocardiograms (ECGs) produced by 12-lead ECG machines, ambulatory (Holter) monitoring systems, and intensive-care unit monitors. Usually, the practitioner caring for the patient does not have specialized training in cardiology or in ECG interpretation; and commercial programs that interpret 12-lead ECGs have been well-documented in the medical literature to perform poorly at analyzing cardiac rhythm. We believe that a system capable of providing comprehensive ECG interpretation as well as access to online consultations will be beneficial to the health care system. We hypothesized that we could develop a client-server based telemedicine system capable of providing access to (1) an on-line knowledge-based system for remote diagnosis of cardiac arrhythmias and (2) an on-line cardiologist for real-time interactive consultation using readily available resources on the Internet. Furthermore, we hypothesized that Macintosh and Microsoft Windows-based personal computers running an X server could function as the delivery platform for the developed system. Although we were successful in developing such a system that will run efficiently on a UNIX-based work-station, current personal computer X server software are not capable of running the system efficiently. |
| References: | Am J Cardiol. 1973 Apr;31(4):457-61. (PMID: 4571161) JAMA. 1975 Apr 7;232(1):51-3. (PMID: 1090767) J Electrocardiol. 1993;26 Suppl:182-93. (PMID: 8189123) Comput Biomed Res. 1993 Jun;26(3):206-19. (PMID: 8325001) Lancet. 1975 May 24;1(7917):1151-4. (PMID: 48773) |
| Grant Information: | R01 LM05530 United States LM NLM NIH HHS |
| Entry Date(s): | Date Created: 19950101 Date Completed: 19960304 Latest Revision: 20181113 |
| Update Code: | 20250114 |
| PubMed Central ID: | PMC2579164 |
| PMID: | 8563356 |
| Datenbank: | MEDLINE |
| Abstract: | Health care practitioners are often faced with the task of interpreting complex heart rhythms from electrocardiograms (ECGs) produced by 12-lead ECG machines, ambulatory (Holter) monitoring systems, and intensive-care unit monitors. Usually, the practitioner caring for the patient does not have specialized training in cardiology or in ECG interpretation; and commercial programs that interpret 12-lead ECGs have been well-documented in the medical literature to perform poorly at analyzing cardiac rhythm. We believe that a system capable of providing comprehensive ECG interpretation as well as access to online consultations will be beneficial to the health care system. We hypothesized that we could develop a client-server based telemedicine system capable of providing access to (1) an on-line knowledge-based system for remote diagnosis of cardiac arrhythmias and (2) an on-line cardiologist for real-time interactive consultation using readily available resources on the Internet. Furthermore, we hypothesized that Macintosh and Microsoft Windows-based personal computers running an X server could function as the delivery platform for the developed system. Although we were successful in developing such a system that will run efficiently on a UNIX-based work-station, current personal computer X server software are not capable of running the system efficiently. |
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| ISSN: | 0195-4210 |
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