MET3-AE system to support management of pediatric asthma exacerbation in the emergency department

Studies in Health Technology and Informatics

Volumn 160, Issue PART 1, 2010, Pages 841-845

  Wilk, Szymon ^a   Michalowski, Wojtek ^b   Farion, Ken ^b,c   Sayyad Shirabad, Jelber ^b,c  

^a POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

^b UNIVERSITY OF OTTAWA   (Canada)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Asthma; Clinical; Decision support systems; Emergency care; Patient management; Pediatrics

Indexed keywords

DATA ACQUISITION; DECISION SUPPORT SYSTEMS; DIAGNOSIS; DISEASES; EMERGENCY ROOMS; MHEALTH; MULTI AGENT SYSTEMS; OPEN SOURCE SOFTWARE; OPEN SYSTEMS; PATIENT TREATMENT; PEDIATRICS; PERSONAL COMPUTERS; SOFTWARE AGENTS;

ASTHMA; CLINICAL; DECISION MAKING PROCESS; EMERGENCY CARE; EMERGENCY DEPARTMENTS; HOSPITAL INFORMATION SYSTEMS; MULTI AGENT METHODOLOGY; PATIENT MANAGEMENT;

DECISION MAKING;

EID: 78649516355     PISSN: 09269630     EISSN: 18798365     Source Type: Conference Proceeding    
DOI: 10.3233/978-1-60750-588-4-841     Document Type: Conference Paper

References (16)

1. Patel VL, Kushniruk AW, Yang S, and Yale JF. Impact of a computer-based patient record system on data collection, knowledge organization, and reasoning. J Am Med Inform Assoc 2000:7(6):569-85.
2. King JW, Le Saux N, Sampson M, Gaboury I, Norris M, and Moher D. Effect of point of care information on inpatient management of bronchiolitis. BMC Pediatr 2007:7:4-11.
3. Kawamoto K, Houlihan CA, Balas EA, and Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ 2005:330(7494):765-72.
4. Wright A, and Sittig DF. A framework and model for evaluating clinical decision support architectures. J Biomed Inform 2008:41(6):982-90.
5. Bates DW, Kuperman GJ, Wang S, Gandhi T, Kittler A, Volk L, Spurr C, Khorasani R, Tanasijevic M, and Middleton B. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc 2003:10(6):523-30.
6. Sittig DF, Wright A, Osheroff JA, Middleton B, Teich JM, Ash JS, Campbell E, and Bates DW. Grand challenges in clinical decision support. J Biomed Inform 2008:41(2):387-92.
7. Ammenwerth E, Buchauer A, Bludau B, and Haux R. Mobile information and communication tools in the hospital. Int J Med Inform 2000:57(1):21-40.
8. Wright A, and Sittig DF. A four-phase model of the evolution of clinical decision support architectures. Int J Med Inform 2008:77(10):641-9.
9. Wilk S, Michalowski W, O'Sullivan D, Farion K, and Matwin S. Engineering of a clinical decision support framework for the point of care use. AMIA Annu Symp Proc 2008:814-8.
10. Farion K, Michalowski W, Wilk S, O'Sullivan D, Rubin S, and Weiss D. Clinical decision support system for point of care use: ontology driven design and software implementation. Methods Inf Med 2009:48(4):381-90.
11. Wilk S, Michalowski W, Farion K, and Kersten M. Interaction design for mobile clinical decision support systems: the MET system solutions. Found Comput Decis Sci 2007:32(1):47-61.
12. Farion K, Michalowski W, Wilk S, O'Sullivan D, and Matwin S. A tree-based decision model to support prediction of the severity of asthma exacerbations in children. J Med Syst 2009 (in press).
13. Aronson AR. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program. Proc AMIA Symp 2001:17-21.
14. Kawamoto K, and Lobach DF. Design, implementation, use and preliminary evaluation of SEBASTIAN, a standards-based Web service for clinical decision support. AMIA Annu Symp Proc 2005:380-4.
15. Moreno A, and Nealon J. Applications of Software Agent Technology in the Health Care Domain. Basel: Birkhauser, 2003.
16. Isern D, Moreno A, Sánchez D, Hajnal A, Pedone G, and Varga LZ. Agent-based execution of personalised home care treatments. Appl Intell 2010 (in press).