PIESYS: A patient model-based intelligent system for continuing hypertension management

被引:0
作者
Koutsojannis, Constantinos [1 ]
Hatzilygeroudis, Ioannis [1 ]
机构
[1] Univ Patras, Sch Engn, Dept Comp Engn & Informat, Patras 26500, Hellas, Greece
来源
KNOWLEDGE MANAGEMENT FOR HEALTH CARE PROCEDURES | 2008年 / 4924卷
关键词
hypertension management; decision support; patient model;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Hypertension is estimated to be the third leading cause of death worldwide and its management is based on guidelines regarding diagnosis, evaluation, risk assessment, treatment and continuing care. This paper presents an intelligent decision support system, which operationalises algorithms for hypertension management using intelligent technologies. PIESYS encourages blood pressure control and recommends guideline-concordant choice of drug therapy in relation to co morbid diseases. Because evidence for best management of hypertension is mostly individualized, PIESYS is designed to help clinical experts to customize their therapeutic strategy with the use of the Patient Response Database (PRDB) incorporating initial or current data with patient responses or side effects, providing response-adaptive continual care. Together with PRDB, PIESYS uses an independent module, called Computerized Patient Model (CPM), reflecting patient's current state, which affects therapy or care modifications for hypertension management. PIESYS introduces personalised (patient-centric) approach in health care systems in contrast to guideline-dependent classical ones.
引用
收藏
页码:137 / 148
页数:12
相关论文
共 18 条
[1]  
[Anonymous], 1997, ARCH INTERN MED, V157, P2413, DOI [10.1001/archinte.1997.00440420033005, DOI 10.1001/ARCHINTE.1997.00440420033005]
[2]   BAYESIAN STATISTICS AS APPLIED TO HYPERTENSION DIAGNOSIS [J].
BLINOWSKA, A ;
CHATELLIER, G ;
BERNIER, J ;
LAVRIL, M .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1991, 38 (07) :699-706
[3]  
Chalmers J, 1999, J HYPERTENS, V17, P151
[4]  
de Clercq P., 2003, GUIDELINE BASED DECI
[5]   COMPUTER-ASSISTED TECHNIQUES FOR EVALUATION AND TREATMENT OF HYPERTENSIVE PATIENTS [J].
DEGOULET, P ;
CHATELLIER, G ;
DEVRIES, C ;
LAVRIL, M ;
MENARD, J .
AMERICAN JOURNAL OF HYPERTENSION, 1990, 3 (02) :156-163
[6]  
Devries C, 1987, Nephrol Dial Transplant, V2, P327
[7]  
GAMBERGER D, 2000, LNCS, V1933, P119
[8]  
*ICSI, 2005, HYP DIAGN TREATM, P53
[9]  
JEUNEMAITRE X, 1986, ARCH MAL COEUR VAISS, V79, P808
[10]  
JOHNSON DP, 2000, P AMIA S, P389