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Precision Health Analytics With Predictive Analytics and Implementation Research: JACC State-of-the-Art Review.
Pearson, Thomas A; Califf, Robert M; Roper, Rebecca; Engelgau, Michael M; Khoury, Muin J; Alcantara, Carmela; Blakely, Craig; Boyce, Cheryl Anne; Brown, Marishka; Croxton, Thomas L; Fenton, Kathleen; Green Parker, Melissa C; Hamilton, Andrew; Helmchen, Lorens; Hsu, Lucy L; Kent, David M; Kind, Amy; Kravitz, John; Papanicolaou, George John; Prosperi, Mattia; Quinn, Matt; Price, LeShawndra N; Shireman, Paula K; Smith, Sharon M; Szczesniak, Rhonda; Goff, David Calvin; Mensah, George A.
Afiliación
  • Pearson TA; College of Medicine and College of Public Health and Health Professions, University of Florida Health Science Center, Gainesville, Florida. Electronic address: tapearson@ufl.edu.
  • Califf RM; School of Medicine and Duke Clinical Research Institute, Duke University, Durham, North Carolina.
  • Roper R; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Engelgau MM; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Khoury MJ; Office of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
  • Alcantara C; Columbia University School of Social Work, New York, New York.
  • Blakely C; School of Public Health and Information Science, University of Louisville, Louisville, Kentucky.
  • Boyce CA; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Brown M; Division of Lung Diseases, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Croxton TL; Division of Lung Diseases, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Fenton K; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Green Parker MC; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Hamilton A; AllianceChicago, Chicago, Illinois.
  • Helmchen L; Health Policy and Management, Milken Institute School of Public Health, George Washington University, Washington, DC.
  • Hsu LL; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Kent DM; Predictive Analytics and Comparative Effectiveness (PACE) Center, Sackler School of Graduate Biomedical Sciences, Tufts University, Tufts Medical Center, Boston, Massachusetts.
  • Kind A; Department of Medicine Health Services and Care Research Program, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
  • Kravitz J; Geisinger Health System, Danville, Pennsylvania.
  • Papanicolaou GJ; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Prosperi M; College of Medicine and College of Public Health and Health Professions, University of Florida Health Science Center, Gainesville, Florida.
  • Quinn M; Health Technology, Telemedicine and Advanced Technology Research Center, Frederick, Maryland.
  • Price LN; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Shireman PK; School of Medicine, University of Texas Health Science Center at San Antonio and South Texas Veterans Health Care System, San Antonio, Texas.
  • Smith SM; Division of Blood Diseases and Resources, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Szczesniak R; Division of Biostatistics & Epidemiology, Division of Pulmonary Medicine, Cincinnati Children's Hospital, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio.
  • Goff DC; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Mensah GA; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: george.mensah@nih.gov.
J Am Coll Cardiol ; 76(3): 306-320, 2020 07 21.
Article en En | MEDLINE | ID: mdl-32674794
Emerging data science techniques of predictive analytics expand the quality and quantity of complex data relevant to human health and provide opportunities for understanding and control of conditions such as heart, lung, blood, and sleep disorders. To realize these opportunities, the information sources, the data science tools that use the information, and the application of resulting analytics to health and health care issues will require implementation research methods to define benefits, harms, reach, and sustainability; and to understand related resource utilization implications to inform policymakers. This JACC State-of-the-Art Review is based on a workshop convened by the National Heart, Lung, and Blood Institute to explore predictive analytics in the context of implementation science. It highlights precision medicine and precision public health as complementary and compelling applications of predictive analytics, and addresses future research and training endeavors that might further foster the application of predictive analytics in clinical medicine and public health.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Publicaciones Periódicas como Asunto / Cardiología / Salud Pública / Atención a la Salud / Medicina de Precisión Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Implementation_research Límite: Humans Idioma: En Revista: J Am Coll Cardiol Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Publicaciones Periódicas como Asunto / Cardiología / Salud Pública / Atención a la Salud / Medicina de Precisión Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Implementation_research Límite: Humans Idioma: En Revista: J Am Coll Cardiol Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos