Computational intelligence for the Balanced Scorecard: Studying performance trends of hemodialysis clinics

Artificial Intelligence in Medicine

Volumn 58, Issue 3, 2013, Pages 165-173

  Cattinelli, Isabella ^a   Bolzoni, Elena ^a   Chermisi, Milena ^a   Bellocchio, Francesco ^a   Barbieri, Carlo ^a   Mari, Flavio ^a   Amato, Claudia ^b   Menzer, Marcus ^b   Stopper, Andrea ^b   Gatti, Emanuele ^b,c  

^a Healthcare and Business Advanced Modeling Fresenius Medical Care   (Germany)

^b FRESENIUS MEDICAL CARE   (Germany)

^c DANUBE UNIVERSITY KREMS   (Austria)

Author keywords

Balanced Scorecard; Clustering; Dialysis; Health care performance; Markov chains; Self organizing maps

Indexed keywords

BALANCED SCORECARDS; CLUSTERING; COMPUTATIONAL INTELLIGENCE TECHNIQUES; CONTINUOUS QUALITY IMPROVEMENT; KEY PERFORMANCE INDICATORS; PROBABILISTIC FRAMEWORK; QUALITY OF INFORMATION; STATIONARY DISTRIBUTION;

ARTIFICIAL INTELLIGENCE; BENCHMARKING; CLUSTER COMPUTING; CONFORMAL MAPPING; DIALYSIS; PROBABILITY DISTRIBUTIONS; SELF ORGANIZING MAPS;

MARKOV PROCESSES;

ARTICLE; COMPUTATIONAL INTELLIGENCE; EVOLUTION; HEALTH CARE; HEMODIALYSIS; HOSPITAL; HUMAN; INTELLIGENCE; ITALY; PATIENT MONITORING; PERFORMANCE MEASUREMENT SYSTEM; PORTUGAL; PRIORITY JOURNAL; PROBABILITY; TREND STUDY;

BALANCED SCORECARD; CLUSTERING; DIALYSIS; HEALTH CARE PERFORMANCE; MARKOV CHAINS; SELF-ORGANIZING MAPS;

ALGORITHMS; AMBULATORY CARE FACILITIES; ARTIFICIAL INTELLIGENCE; BENCHMARKING; CLUSTER ANALYSIS; DATA MINING; EUROPE; HUMANS; LINEAR MODELS; MARKOV CHAINS; NEURAL NETWORKS (COMPUTER); OUTCOME AND PROCESS ASSESSMENT (HEALTH CARE); QUALITY IMPROVEMENT; QUALITY INDICATORS, HEALTH CARE; RENAL DIALYSIS; TASK PERFORMANCE AND ANALYSIS; TIME FACTORS; TREATMENT OUTCOME;

EID: 84880037145     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2013.04.005     Document Type: Article

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