Graphical knowledge-based protocols for chest pain management

Computers in Cardiology

Volumn , Issue , 1999, Pages 309-312

  Ali, S ^a   Chia, P ^a   Ong, Kenneth ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; GRAPH THEORY; KNOWLEDGE BASED SYSTEMS;

DELIVERY SYSTEM FOR CLINICAL GUIDELINES (DSCG);

CARDIOLOGY;

EID: 0033282059     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Institute of Medicine (Field MJ and Lohr KN Eds). Guidelines for Clinical Practice: From Development to Use. National Academy Press, Washington DC 1992.
2. Goldman L, Cook FE, Brand DA, et al. A Computer Protocol to Predict Myocardial Infarction in Emergency Department Patients with Chest Pain. N Engl J Med. 1988; 318:797-803.
3. Weingarten SR, Ermann B, Riedinger MS, et al. Selecting the Best Triage Rule for Patients Hospitalized with Chest Pain. Am J Med. 1989; 87:494-500.
4. Weingarten SR, Riedinger MS, Conner L, et al. Practice Guidelines and Reminders to Reduce Duration of Hospital Stay for Patients with Chest Pain. Ann Intern Med. 1994; 120:257-63.
5. Weingarten SR, Agocs L, Tankel N, et al. Reducing Lengths of Stay for Patients Hopitalized with Chest Pain Using Medical Practice Guidelines and Opinion Leaders. Am J Cardiol. 1993; 71:259-62.