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Rumsfeld JS, Shah RU, Druz RS. Innovation in Cardiology: The ACC Innovation Program. Methodist Debakey Cardiovasc J 2021; 16:304-308. [PMID: 33500759 DOI: 10.14797/mdcj-16-4-304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
The last half century has seen extraordinary advances in the field of cardiology, including innovations in medications, diagnostic modalities, and therapeutics. Even so, cardiovascular disease remains the leading cause of morbidity and mortality globally, with suboptimal quality of care, inconsistent health outcomes, and unsustainable costs. It is clear that cardiovascular medicine must undergo a digital transformation to enhance the delivery of quality care and to improve outcomes. To meet this need, the American College of Cardiology developed an innovation program focused on the digital transformation of cardiovascular care, with the goal of improving heart health for individuals and populations.
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Affiliation(s)
| | - Rashmee U Shah
- UNIVERSITY OF UTAH SCHOOL OF MEDICINE, SALT LAKE CITY, UTAH
| | - Regina S Druz
- ST. FRANCIS HOSPITAL, CATHOLIC HEALTH SERVICES OF LONG ISLAND, ROSLYN, NEW YORK
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Rumsfeld JS, Joynt KE, Maddox TM. Big data analytics to improve cardiovascular care: promise and challenges. Nat Rev Cardiol 2016; 13:350-9. [PMID: 27009423 DOI: 10.1038/nrcardio.2016.42] [Citation(s) in RCA: 177] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
The potential for big data analytics to improve cardiovascular quality of care and patient outcomes is tremendous. However, the application of big data in health care is at a nascent stage, and the evidence to date demonstrating that big data analytics will improve care and outcomes is scant. This Review provides an overview of the data sources and methods that comprise big data analytics, and describes eight areas of application of big data analytics to improve cardiovascular care, including predictive modelling for risk and resource use, population management, drug and medical device safety surveillance, disease and treatment heterogeneity, precision medicine and clinical decision support, quality of care and performance measurement, and public health and research applications. We also delineate the important challenges for big data applications in cardiovascular care, including the need for evidence of effectiveness and safety, the methodological issues such as data quality and validation, and the critical importance of clinical integration and proof of clinical utility. If big data analytics are shown to improve quality of care and patient outcomes, and can be successfully implemented in cardiovascular practice, big data will fulfil its potential as an important component of a learning health-care system.
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Affiliation(s)
- John S Rumsfeld
- University of Colorado School of Medicine, 13001 East 17th Place, Aurora, Colorado 80045, USA.,VA Eastern Colorado Health System, Cardiology (111B), 1055 Clermont Street, Denver, Colorado 80220, USA
| | - Karen E Joynt
- Brigham and Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA.,Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, Massachusetts 02115, USA
| | - Thomas M Maddox
- University of Colorado School of Medicine, 13001 East 17th Place, Aurora, Colorado 80045, USA.,VA Eastern Colorado Health System, Cardiology (111B), 1055 Clermont Street, Denver, Colorado 80220, USA
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Hess EP, Coylewright M, Frosch DL, Shah ND. Implementation of shared decision making in cardiovascular care: past, present, and future. Circ Cardiovasc Qual Outcomes 2014; 7:797-803. [PMID: 25052074 DOI: 10.1161/circoutcomes.113.000351] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Erik P Hess
- From the Department of Emergency Medicine, Division of Emergency Medicine Research (E.P.H.), Knowledge and Evaluation Research Unit (E.P.H., M.C., N.D.S.), Department of Health Sciences Research, Division of Health Care Policy and Research (E.P.H., N.D.S.), and Division of Cardiovascular Diseases (M.C.), Mayo Clinic, Rochester, MN; Gordon and Betty Moore Foundation, Palo Alto, CA (D.L.F.); Palo Alto Medical Foundation Research Institute, Palo Alto, CA (D.L.F.); and Department of Medicine, University of California, Los Angeles (D.L.F.).
| | - Megan Coylewright
- From the Department of Emergency Medicine, Division of Emergency Medicine Research (E.P.H.), Knowledge and Evaluation Research Unit (E.P.H., M.C., N.D.S.), Department of Health Sciences Research, Division of Health Care Policy and Research (E.P.H., N.D.S.), and Division of Cardiovascular Diseases (M.C.), Mayo Clinic, Rochester, MN; Gordon and Betty Moore Foundation, Palo Alto, CA (D.L.F.); Palo Alto Medical Foundation Research Institute, Palo Alto, CA (D.L.F.); and Department of Medicine, University of California, Los Angeles (D.L.F.)
| | - Dominick L Frosch
- From the Department of Emergency Medicine, Division of Emergency Medicine Research (E.P.H.), Knowledge and Evaluation Research Unit (E.P.H., M.C., N.D.S.), Department of Health Sciences Research, Division of Health Care Policy and Research (E.P.H., N.D.S.), and Division of Cardiovascular Diseases (M.C.), Mayo Clinic, Rochester, MN; Gordon and Betty Moore Foundation, Palo Alto, CA (D.L.F.); Palo Alto Medical Foundation Research Institute, Palo Alto, CA (D.L.F.); and Department of Medicine, University of California, Los Angeles (D.L.F.)
| | - Nilay D Shah
- From the Department of Emergency Medicine, Division of Emergency Medicine Research (E.P.H.), Knowledge and Evaluation Research Unit (E.P.H., M.C., N.D.S.), Department of Health Sciences Research, Division of Health Care Policy and Research (E.P.H., N.D.S.), and Division of Cardiovascular Diseases (M.C.), Mayo Clinic, Rochester, MN; Gordon and Betty Moore Foundation, Palo Alto, CA (D.L.F.); Palo Alto Medical Foundation Research Institute, Palo Alto, CA (D.L.F.); and Department of Medicine, University of California, Los Angeles (D.L.F.)
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