Understanding variations in pediatric asthma care processes in the emergency department using visual analytics

Journal of the American Medical Informatics Association

Volumn 22, Issue 2, 2015, Pages 318-323

  Basole, Rahul C ^a,b   Braunstein, Mark L ^a,b   Kumar, Vikas ^a,b   Park, Hyunwoo ^b,c   Kahng, Minsuk ^a   Chau, Duen Horng ^a   Tamersoy, Acar ^a   Hirsh, Daniel A ^d,e   Serban, Nicoleta ^c   Bost, James ^d   Lesnick, Burton ^d   Schissel, Beth L ^d,e   Thompson, Michael ^d  

^a Georgia Institute of Technology   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c Georgia Institute of Technology   (United States)

^d CHILDREN'S HEALTHCARE OF ATLANTA   (United States)

^e Pediatric Emergency Medicine Associates   (United States)

Author keywords

Asthma; Emergency care; Pediatric hospital; Process mining; Visual analytics

Indexed keywords

ARTICLE; ASTHMA; CHILD; CHILD CARE; CHILD HOSPITALIZATION; CONTROLLED STUDY; EMERGENCY CARE; EMERGENCY WARD; FEMALE; HUMAN; INFANT; INTENSIVE CARE; MAJOR CLINICAL STUDY; MALE; NEWBORN; PRESCHOOL CHILD; AUDIOVISUAL AID; AUTOMATED PATTERN RECOGNITION; COMPUTER INTERFACE; EMERGENCY HEALTH SERVICE; HOSPITAL; INFORMATION PROCESSING; ORGANIZATION AND MANAGEMENT; PATIENT CARE;

ASTHMA; AUDIOVISUAL AIDS; CHILD; CHILD, PRESCHOOL; DATA DISPLAY; EMERGENCY SERVICE, HOSPITAL; FEMALE; HOSPITALS, PEDIATRIC; HUMANS; INFANT; INFANT, NEWBORN; MALE; PATIENT CARE MANAGEMENT; PATTERN RECOGNITION, AUTOMATED; USER-COMPUTER INTERFACE;

EID: 84934277613     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1093/jamia/ocu016     Document Type: Article

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