C Safran1. 1. Charles Safran, MD, Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA, E-mail: Charles_Safran@Harvard.Edu.
Abstract
OBJECTIVES: To provide an overview of the benefits of clinical data collected as a by-product of the care process, the potential problems with large aggregations of these data, the policy frameworks that have been formulated, and the major challenges in the coming years. METHODS: This report summarizes some of the major observations from AMIA and IMIA conferences held on this admittedly broad topic from 2006 through 2013. This report also includes many unsupported opinions of the author. RESULTS: The benefits of aggregating larger and larger sets of routinely collected clinical data are well documented and of great societal benefit. These large data sets will probably never answer all possible clinical questions for methodological reasons. Non-traditional sources of health data that are patient-sources will pose new data science challenges. CONCLUSIONS: If we ever hope to have tools that can rapidly provide evidence for daily practice of medicine we need a science of health data perhaps modeled after the science of astronomy.
OBJECTIVES: To provide an overview of the benefits of clinical data collected as a by-product of the care process, the potential problems with large aggregations of these data, the policy frameworks that have been formulated, and the major challenges in the coming years. METHODS: This report summarizes some of the major observations from AMIA and IMIA conferences held on this admittedly broad topic from 2006 through 2013. This report also includes many unsupported opinions of the author. RESULTS: The benefits of aggregating larger and larger sets of routinely collected clinical data are well documented and of great societal benefit. These large data sets will probably never answer all possible clinical questions for methodological reasons. Non-traditional sources of health data that are patient-sources will pose new data science challenges. CONCLUSIONS: If we ever hope to have tools that can rapidly provide evidence for daily practice of medicine we need a science of health data perhaps modeled after the science of astronomy.
Entities:
Keywords:
Electronic health records; clinical informatics; database; evidence-based medicine; outcomes research
Authors: Alon Geva; Sharon B Wright; Linda M Baldini; Jane A Smallcomb; Charles Safran; James E Gray Journal: Pediatrics Date: 2011-10-17 Impact factor: 7.124
Authors: Kim N Danforth; Carrie D Patnode; Tanya J Kapka; Melissa G Butler; Bernadette Collins; Amy Compton-Phillips; Raymond J Baxter; Jed Weissberg; Elizabeth A McGlynn; Evelyn P Whitlock Journal: Perm J Date: 2013
Authors: Shawn N Murphy; Griffin Weber; Michael Mendis; Vivian Gainer; Henry C Chueh; Susanne Churchill; Isaac Kohane Journal: J Am Med Inform Assoc Date: 2010 Mar-Apr Impact factor: 4.497
Authors: George Hripcsak; Meryl Bloomrosen; Patti FlatelyBrennan; Christopher G Chute; Jim Cimino; Don E Detmer; Margo Edmunds; Peter J Embi; Melissa M Goldstein; William Ed Hammond; Gail M Keenan; Steve Labkoff; Shawn Murphy; Charlie Safran; Stuart Speedie; Howard Strasberg; Freda Temple; Adam B Wilcox Journal: J Am Med Inform Assoc Date: 2013-10-29 Impact factor: 4.497
Authors: A Geissbuhler; C Safran; I Buchan; R Bellazzi; S Labkoff; K Eilenberg; A Leese; C Richardson; J Mantas; P Murray; G De Moor Journal: Int J Med Inform Date: 2012-11-20 Impact factor: 4.046
Authors: Franck Diaz-Garelli; Andrew Long; Michael P Bancks; Alain G Bertoni; Adhithya Narayanan; Brian J Wells Journal: AMIA Annu Symp Proc Date: 2022-02-21
Authors: Franck Diaz-Garelli; Roy Strowd; Virginia L Lawson; Maria E Mayorga; Brian J Wells; Thomas W Lycan; Umit Topaloglu Journal: JCO Clin Cancer Inform Date: 2020-06
Authors: Franck Diaz-Garelli; Roy Strowd; Tamjeed Ahmed; Thomas W Lycan; Sean Daley; Brian J Wells; Umit Topaloglu Journal: JCO Clin Cancer Inform Date: 2021-05