EVALUATION OF A KNOWLEDGE-BASED DECISION-SUPPORT SYSTEM FOR VENTILATOR THERAPY MANAGEMENT

被引:14
|
作者
SHAHSAVAR, N
LUDWIGS, U
BLOMQVIST, H
GILL, H
WIGERTZ, O
MATELL, G
机构
[1] SODER SJUKHUSET,MED INTENS CARE UNIT,S-10064 STOCKHOLM,SWEDEN
[2] DANDERYD HOSP,DEPT ANESTHESIA CLIN & INTENS CARE,S-18288 DANDERYD,SWEDEN
关键词
EVALUATION; VALIDATION; KNOWLEDGE-BASE VALIDATION; DECISION-SUPPORT SYSTEMS; EXPERT SYSTEMS; VENTILATOR THERAPY;
D O I
10.1016/0933-3657(94)00025-N
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Evaluation of knowledge-based systems differs from that of conventional systems in terms of verification and validation techniques. Furthermore, evaluating medical decision-support systems is difficult because the field is thus far comparatively unexplored. This paper presents an evaluation of a medical knowledge-based system called VentEx that supports decision-making in the management of ventilator therapy. Real patient data from 1300 hours of patient care involving 12 patients with 6 diagnoses are used to validate the knowledge base. The results range from 4.5% to 15.6% disagreement between the setting recommendations produced by VentEx and a gold standard, and 22.2% disagreement for recommendations for weaning. A comparison between the standard and two physicians showed that VentEx produced advice of the same quality as the physicians.
引用
收藏
页码:37 / 52
页数:16
相关论文
共 50 条