Using computational modeling to assess the impact of clinical decision support on cancer screening improvement strategies within the community health centers

Journal of Biomedical Informatics

Volumn 51, Issue , 2014, Pages 200-209

  Carney, Timothy Jay ^a,g   Morgan, Geoffrey P ^b   Jones, Josette ^a,h   McDaniel, Anna M ^a,c,i   Weaver, Michael ^c,i   Weiner, Bryan ^g   Haggstrom, David A ^d,e,f  

^a Indiana University School of Informatics   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c INDIANA UNIVERSITY   (United States)

^d VA HSR and D Center of Excellence on Implementing Evidence based Practice   (United States)

^e VETERANS AFFAIRS MEDICAL CENTER   (United States)

^f INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g University of North Carolina at Chapel Hill   (United States)

^h Health Informatics   (United States)

ⁱ INDIANA UNIVERSITY SCHOOL OF NURSING   (United States)

Author keywords

Cancer screening; Community health center; Computational; Modeling; Simulation; Systems thinking

Indexed keywords

DECISION SUPPORT SYSTEMS; DISEASES; HEALTH CARE; KNOWLEDGE MANAGEMENT; MODELS; PUBLIC HEALTH; QUALITY CONTROL;

CANCER SCREENING; COMMUNITY HEALTH CENTERS; COMPUTATIONAL; SIMULATION; SYSTEMS THINKING;

COMPUTATION THEORY;

ARTICLE; CANCER SCREENING; CLINICAL DECISION MAKING; DECISION SUPPORT SYSTEM; HEALTH CARE QUALITY; HEALTH CENTER; MATHEMATICAL COMPUTING; MEDICAL INFORMATICS; OUTCOME ASSESSMENT; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; COMPUTER SIMULATION; EARLY DIAGNOSIS; HUMAN; INCIDENCE; NEOPLASMS; PROCEDURES; REPRODUCIBILITY; RISK FACTOR; SENSITIVITY AND SPECIFICITY; STATISTICS AND NUMERICAL DATA; UNITED STATES;

COMMUNITY HEALTH CENTERS; COMPUTER SIMULATION; DECISION SUPPORT SYSTEMS, CLINICAL; EARLY DETECTION OF CANCER; HUMANS; INCIDENCE; MODELS, STATISTICAL; NEOPLASMS; OUTCOME ASSESSMENT (HEALTH CARE); REPRODUCIBILITY OF RESULTS; RISK FACTORS; SENSITIVITY AND SPECIFICITY; UNITED STATES;

EID: 84908025278     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.05.012     Document Type: Article

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