Dynamic composition of medical support services in the ICU: Platform and algorithm design details

Computer Methods and Programs in Biomedicine

Volumn 100, Issue 3, 2010, Pages 248-264

  Hristoskova, Anna ^a   Moeyersoon, Dieter ^a   Van Hoecke, Sofie ^a   Verstichel, Stijn ^a   Decruyenaere, Johan ^b   De Turck, Filip ^a  

^a GHENT UNIVERSITY   (Belgium)

^b GHENT UNIVERSITY HOSPITAL   (Belgium)

Author keywords

Dynamic composition; Medical services; OWL S; QoS algorithms; Semantic Web

Indexed keywords

ALGORITHM DESIGN; AUTOMATED SYSTEMS; AUTOMATIC COMPOSITION; BLOOD AND URINE SAMPLES; BUILDING BLOCKES; DYNAMIC COMPOSITION; INTENSIVE CARE; MEDICAL SERVICES; NEW SERVICES; OWL-S; PRESSURE AND TEMPERATURE; QOS ALGORITHMS; QUALITY OF SERVICE CONSTRAINTS; RECOVERY MECHANISMS; SCALABILITY TEST; SEMANTIC DESCRIPTIONS; SERVICE PLATFORMS; SUPPORT SERVICES; SYSTOLIC BLOOD PRESSURE;

ALGORITHMS; AUTOMATION; BLOOD; BLOOD PRESSURE; ORGANIC POLYMERS; PATIENT MONITORING; QUALITY OF SERVICE; SEMANTIC WEB; WEB SERVICES;

INTENSIVE CARE UNITS;

ALGORITHM; ARTICLE; AUTOMATION; CALCULATION; INFORMATION PROCESSING; INTENSIVE CARE UNIT; INTERNET; MEDICAL INFORMATION SYSTEM; MEDICAL SERVICE; PATIENT MONITORING;

ALGORITHMS; BELGIUM; COMPUTER SYSTEMS; COMPUTERS, HANDHELD; DATA COLLECTION; DATABASES, FACTUAL; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION TREES; HOSPITAL INFORMATION SYSTEMS; HUMANS; INTENSIVE CARE UNITS; INTERNET; MONITORING, PHYSIOLOGIC; NORMAL DISTRIBUTION; SEMANTICS; SOFTWARE;

EID: 77958525630     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2010.03.019     Document Type: Article

References (53)

1. Van Hoecke S., Decruyenaere J., Daneels C., Taveirne K., Colpaert K., Hoste E., Dhoedt B., De Turck F. Service-oriented subscription management of medical decision data in the intensive care unit. Methods of Information in Medicine 2008, 47(4):364-380.
2. Van Den Bossche B., Van Hoecke S., Daneels C., Decruyenaere J., Dhoedt B., De Turck F. Design of a JAIN SLEE/ESB-based platform for routing medical data in the ICU. Computer Methods and Programs in Biomedicine 2008, 91(3):265-277.
3. Charbonnier S. On line extraction of temporal episodes from ICU high-frequency data: a visual support for signal interpretation. Computer Methods and Programs in Biomedicine 2005, 78(2):115-132.
4. Colpaert K., Hoste E., Van Hoecke S., Vandijck D., Danneels C., Steurbaut K., De Turck F., Decruyenaere J. Implementation of a real-time electronic alert based on the RIFLE criteria to warn for Acute Kidney Injury in ICU patients. Acta Clinica Belgica, Supplementum 2007, (2):322-327.
5. Hoste E.A.J., Clermont G., Kersten A., Venkataraman R., Angus D.C., De Bacquer D., Kellum J.A. RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: a coherent analysis. Critical Care 2006, 10(3):R73.
6. Ferreira F.L., Bota D.P., Bross A., Mélot C., Vincent J.L. Serial evaluation of the SOFA score to predict outcome in critically ill patients. Journal of the American Mecial Association 2001, 286:1754-1758.
7. Vincent J.L., de Mendonca A., Cantraine F., Moreno R., Takala J., Suter P.M., Sprung C.L., Colardyn F., Blecher S. Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Critical Care Medicine 1998, 26(11):1793-1800.
8. K. Steurbaut, S. Van Hoecke, K. Taveirne, K. Lamont, F. De Turck, K. Colpaert, P. Depuydt, D. Benoit, C. Danneels, J. Decruyenaere, Design of Software Services for Computer-Based Infection Control and Antibiotic Management in the Intensive Care Unit, eHealth, Telemedicine, and Social Medicine, 2009 (eTELEMED'09), pp. 87-92.
9. Nyström P. The systemic inflammatory response syndrome: definitions and aetiology. Journal of Antimicrobial Chemotherapy 1998, 41:1-7.
10. R.A. Greenes, Clinical Decision Support: The Road Ahead, 2006.
11. McDonald C.J., Overhage J.M., Tierney W., Dexter P., Martin D.K., Suico J.G., et al. The Regenstrief Medical Record System: a quarter century experience. International Journal of Medical Informatics 1999, 54(3):225-253.
12. B.W. Mamlin, J.M. Overhage, W. Tierney, P. Dexter, C.J. McDonald, Clinical Decision Support Within the Regenstrief Medical Record System, Clinical Decision Support Systems: Theory and Practice, 2007, pp. 190-214.
13. Teich J.M., Glaser J.P., Beckley R.F., Aranow M., Bates D.W., Kuperman G.J., Ward M.E., Spurr C.D. The Brigham integrated computing system (BICS): advanced clinical systems in an academic hospital environment. International Journal of Medical Informatics 1999, 54(3):197-208.
14. Brigham and Women's Hospital, a Teaching Affiliate of Harvard Medical School. http://www.brighamandwomens.org/.
15. Warner H.R., Olmsted C.M., Rutherford B.D. HELP-A program for medical decision-making. Computers and Biomedical Research 1972, 5(1):65-74.
16. Pryor T.A., Gardner R.M., Clayton P.D., Warner H.R. The HELP system. Journal of Medical Systems 1983, 7(2):87-102.
17. Philips Healthcare, ProtocolWatch Project. http://www.healthcare.philips.com/main/products/patient_monitoring/products/protocol_watch/index.wpd.
18. VISICU, a Philips Healthcare company, eICU Program. http://www.visicu.com.
19. Rector A., Rogers J., Pole P. The GALEN High Level Ontology. Proceedings of the 14th International Congress of the European Federation for Medical Informatics 1996, 174-178.
20. http://www.opengalen.org/.
21. http://sig.biostr.washington.edu/projects/fm/index.html.
22. Golbeck J., Fragoso G., Hartel F., Hendler J., Oberthaler J., Parsia B. The National Cancer Institute's Thesaurus And Ontology. Journal of Web Semantics 2003, 1(1):75-80.
23. http://ncicb.nci.nih.gov/.
24. The Gene Ontology Consortium Gene Ontology: tool for the unification of biology. Journal of Nature Genetics 2000, 25:25-29.
25. http://www.geneontology.org/.
26. http://obi-ontology.org/page/Main_Page.
27. WSDL-S, Web Service Semantics. http://www.w3.org/Submission/WSDL-S/.
28. SA-WSDL, Semantic Annotations for WSDL and XML Schema. http://www.w3.org/TR/sawsdl/.
29. SA-WSDL, Semantic Annotations for WSDL Working Group. http://www.w3.org/2002/ws/sawsdl/.
30. Verma K., Sheth A. Semantically Annotating a Web Service. IEEE Computer Society 2007, 11(2):83-85.
31. OWL-S, Semantic Markup for Web Services. http://www.w3.org/Submission/OWL-S/.
32. DAML Services Home Page. http://www.daml.org/services/owl-s/.
33. Web Service Modeling Ontology, ESSI WSMO Working Group. http://www.wsmo.org/.
34. WSMO Working Draft, 21 October 2006. http://www.wsmo.org/TR/d2/v1.3/.
35. SWSO, Semantic Web Services Ontology. http://www.w3.org/Submission/SWSF-SWSO/.
36. Oaks P., ter Hofstede A.H.M., Edmond D. Capabilities: describing what services can do. First International Conference on Service-Oriented Computing (ICSOC) 2003, 1-16.
37. Brogi A., Canal C., Pimentel E., Vallecillo A. Formalizing Web Service Choreographies. Electronic Notes in Theoretical Computer Science 2004, 105(10):73-94.
38. Papazoglou M.P., Traverso P., Dustdar S., Leymann F. Service-oriented computing: state of the art and research challenges. IEEE Computer Society 2007, 40(11):38-45.
39. S Semantic Web, Providing a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. http://www.w3.org/2001/sw/.
40. Berners L., Hendler J., Lassila O. The Semantic Web: a new form of web content that is meaningful to computers will unleash a revolution of new possibilities. Journal of the Scientific American 2001, 284(5):34-43.
41. Klusch M., Gerber A., Schmidt M. Semantic Web Service Composition Planning with OWLS-Xplan. Proceedings of the First International AAAI Fall Symposium on Agents and the Semantic Web 2005, 55-62.
42. M. Klusch, OWLS-Xplan. http://projects.semwebcentral.org/projects/owls-xplan/.
43. E. Sirin, Web Service Composer, Mindswap. http://www.mindswap.org/evren/composer/.
44. Sirin E., Parsia B., Hendler J. Composition-driven filtering and selection of Semantic Web Services. AAAI Spring Symposium on Semantic Web Services 2004, 129-138.
45. Sirin E., Parsia B., Hendler J. Filtering and selecting Semantic Web Services with interactive composition techniques. IEEE Intelligent Systems 2004, 19(4):42-49.
46. Sirin E., Hendler J., Parsia B. Semi-automatic Composition of Web Services using Semantic Descriptions. Web Services: Modeling, Architecture and Infrastructure workshop in conjunction with ICEIS2003 2002, 17-24.
47. Gamha Y., Bennacer N., Romdhane L.B., Vidal-Naquet G., Ayeb B. A statechart-based model for the Semantic Composition of Web Services. Fourth International Workshop on Semantic Web for Services and Processes (SWSP07) 2007, 49-56.
48. Gubala T., Herezlak D., Bubak M., Malawski M. Semantic composition of scientific workflows based on the Petri Nets Formalism. Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (e-Science'06) 2006, 12-19.
49. Hamadi R., Benatallah B. A Petri Net-based Model for Web Service Composition. Proceedings of the 14th Australasian database conference (ADC2003) 2003, 191-200.
50. Liu J., Cui J., Gu N. Composing Web services dynamically and semantically. Proceedings of the IEEE International Conference on E-Commerce Technology for Dynamic E-Business (CEC-East'04) 2004, 234-241.
51. Zhang S., Zong Y., Ding Z., Liu J. Workflow-oriented grid service composition and scheduling. Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05), vol. 2 2005, 214-219.
52. E. Sirin, OWL-S Java API, Mindswap. http://www.mindswap.org/2004/owl-s/api/.
53. Protégé, Stanford University. http://protege.stanford.edu/.