Last data update: May 20, 2024. (Total: 46824 publications since 2009)
Records 1-4 (of 4 Records) |
Query Trace: Califf RM[original query] |
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Precision Health Analytics With Predictive Analytics and Implementation Research: JACC State-of-the-Art Review.
Pearson TA , Califf RM , Roper R , Engelgau MM , Khoury MJ , Alcantara C , Blakely C , Boyce CA , Brown M , Croxton TL , Fenton K , Green Parker MC , Hamilton A , Helmchen L , Hsu LL , Kent DM , Kind A , Kravitz J , Papanicolaou GJ , Prosperi M , Quinn M , Price LN , Shireman PK , Smith SM , Szczesniak R , Goff DC Jr , Mensah GA . J Am Coll Cardiol 2020 76 (3) 306-320 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. |
Transforming evidence generation to support health and health care decisions
Califf RM , Robb MA , Bindman AB , Briggs JP , Collins FS , Conway PH , Coster TS , Cunningham FE , De Lew N , DeSalvo KB , Dymek C , Dzau VJ , Fleurence RL , Frank RG , Gaziano JM , Kaufmann P , Lauer M , Marks PW , McGinnis JM , Richards C , Selby JV , Shulkin DJ , Shuren J , Slavitt AM , Smith SR , Washington BV , White PJ , Woodcock J , Woodson J , Sherman RE . N Engl J Med 2016 375 (24) 2395-2400 Making better choices about health and health care requires the best possible evidence. Unfortunately, many of the decisions made today in our health care system are not supported by high-quality evidence1-4 derived from randomized, controlled trials or well-designed observational studies. But as rich, diverse sources of digital data become widely available for research and as analytical tools continue to grow in power and sophistication, the research and health care communities now have the opportunity to quickly and efficiently generate the scientific evidence needed to support improved decision making about health and health care. | The pursuit of high-quality, data-driven evidence in no way detracts from the importance of expert opinion and qualitative information as a complementary source of knowledge to inform policy decisions or population and individual choices; in fact, it enhances it. However, we believe there is an opportunity to use qualitative methods to supplement high-quality quantitative data with a more focused approach. |
Reducing health inequities in the U.S.: recommendations from the NHLBI's health inequities Think Tank meeting
Sampson UK , Kaplan RM , Cooper RS , Diez Roux AV , Marks JS , Engelgau MM , Peprah E , Mishoe H , Boulware LE , Felix KL , Califf RM , Flack JM , Cooper LA , Gracia JN , Henderson JA , Davidson KW , Krishnan JA , Lewis TT , Sanchez E , Luban NL , Vaccarino V , Wong WF , Wright JT Jr , Meyers D , Ogedegbe OG , Presley-Cantrell L , Chambers DA , Belis D , Bennett GC , Boyington JE , Creazzo TL , de Jesus JM , Krishnamurti C , Lowden MR , Punturieri A , Shero ST , Young NS , Zou S , Mensah GA . J Am Coll Cardiol 2016 68 (5) 517-24 The National, Heart, Lung, and Blood Institute convened a Think Tank meeting to obtain insight and recommendations regarding the objectives and design of the next generation of research aimed at reducing health inequities in the United States. The panel recommended several specific actions, including: 1) embrace broad and inclusive research themes; 2) develop research platforms that optimize the ability to conduct informative and innovative research, and promote systems science approaches; 3) develop networks of collaborators and stakeholders, and launch transformative studies that can serve as benchmarks; 4) optimize the use of new data sources, platforms, and natural experiments; and 5) develop unique transdisciplinary training programs to build research capacity. Confronting health inequities will require engaging multiple disciplines and sectors (including communities), using systems science, and intervening through combinations of individual, family, provider, health system, and community-targeted approaches. Details of the panel's remarks and recommendations are provided in this report. |
Emerging Research Directions in Adult Congenital Heart Disease: A Report From an NHLBI/ACHA Working Group
Gurvitz M , Burns KM , Brindis R , Broberg CS , Daniels CJ , Fuller SM , Honein MA , Khairy P , Kuehl KS , Landzberg MJ , Mahle WT , Mann DL , Marelli A , Newburger JW , Pearson GD , Starling RC , Tringali GR , Valente AM , Wu JC , Califf RM . J Am Coll Cardiol 2016 67 (16) 1956-64 Congenital heart disease (CHD) is the most common birth defect, affecting about 0.8% of live births. Advances in recent decades have allowed >85% of children with CHD to survive to adulthood, creating a growing population of adults with CHD. Little information exists regarding survival, demographics, late outcomes, and comorbidities in this emerging group, and multiple barriers impede research in adult CHD. The National Heart, Lung, and Blood Institute and the Adult Congenital Heart Association convened a multidisciplinary working group to identify high-impact research questions in adult CHD. This report summarizes the meeting discussions in the broad areas of CHD-related heart failure, vascular disease, and multisystem complications. High-priority subtopics identified included heart failure in tetralogy of Fallot, mechanical circulatory support/transplantation, sudden cardiac death, vascular outcomes in coarctation of the aorta, late outcomes in single-ventricle disease, cognitive and psychiatric issues, and pregnancy. |
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