Identifying factors that impact patient length of stay metrics for healthcare providers with advanced analytics

Health Informatics Journal

Volumn 16, Issue 4, 2010, Pages 235-245

  Kudyba, Stephan ^a   Gregorio, Thomas ^b  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

^b NEWARK BETH ISRAEL MEDICAL CENTER   (United States)

Author keywords

analytic modeling; data management and data mining; decision support systems; supply network analysis; workflow and process management

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; HEALTH CARE DELIVERY; HEALTH CARE QUALITY; HUMAN; LENGTH OF STAY; METHODOLOGY; ORGANIZATION AND MANAGEMENT; PATIENT CARE; STATISTICS; SYSTEM ANALYSIS;

DELIVERY OF HEALTH CARE; HUMANS; LENGTH OF STAY; NEURAL NETWORKS (COMPUTER); PATIENT CARE MANAGEMENT; PROCESS ASSESSMENT (HEALTH CARE); SYSTEMS ANALYSIS;

EID: 78651281745     PISSN: 14604582     EISSN: 17412811     Source Type: Journal    
DOI: 10.1177/1460458210380529     Document Type: Article

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