Literature DB >> 28340241

Pragmatic (trial) informatics: a perspective from the NIH Health Care Systems Research Collaboratory.

Rachel L Richesson1,2, Beverly B Green3, Reesa Laws4, Jon Puro5, Michael G Kahn6, Alan Bauck4, Michelle Smerek7, Erik G Van Eaton8, Meredith Zozus9, W Ed Hammond2, Kari A Stephens10, Greg E Simon3.   

Abstract

Pragmatic clinical trials (PCTs) are research investigations embedded in health care settings designed to increase the efficiency of research and its relevance to clinical practice. The Health Care Systems Research Collaboratory, initiated by the National Institutes of Health Common Fund in 2010, is a pioneering cooperative aimed at identifying and overcoming operational challenges to pragmatic research. Drawing from our experience, we present 4 broad categories of informatics-related challenges: (1) using clinical data for research, (2) integrating data from heterogeneous systems, (3) using electronic health records to support intervention delivery or health system change, and (4) assessing and improving data capture to define study populations and outcomes. These challenges impact the validity, reliability, and integrity of PCTs. Achieving the full potential of PCTs and a learning health system will require meaningful partnerships between health system leadership and operations, and federally driven standards and policies to ensure that future electronic health record systems have the flexibility to support research.
© The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  National Institutes of Health; clinical informatics; demonstration project; electronic health records; pragmatic clinical trial

Mesh:

Year:  2017        PMID: 28340241     DOI: 10.1093/jamia/ocx016

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  12 in total

1.  The Future of Research on Alcohol Health Disparities: A Health Services Research Perspective.

Authors:  Joseph E Glass; Emily C Williams
Journal:  J Stud Alcohol Drugs       Date:  2018-03       Impact factor: 2.582

Review 2.  "Minimally invasive research?" Use of the electronic health record to facilitate research in pediatric urology.

Authors:  Vijaya M Vemulakonda; Ruth A Bush; Michael G Kahn
Journal:  J Pediatr Urol       Date:  2018-06-09       Impact factor: 1.830

3.  A Novel Patient Recruitment Strategy: Patient Selection Directly from the Community through Linkage to Clinical Data.

Authors:  Lindsay P Zimmerman; Satyender Goel; Shazia Sathar; Charon E Gladfelter; Alejandra Onate; Lindsey L Kane; Shelly Sital; Jasmin Phua; Paris Davis; Helen Margellos-Anast; David O Meltzer; Tamar S Polonsky; Raj C Shah; William E Trick; Faraz S Ahmad; Abel N Kho
Journal:  Appl Clin Inform       Date:  2018-02-14       Impact factor: 2.342

4.  Computable Phenotype Implementation for a National, Multicenter Pragmatic Clinical Trial: Lessons Learned From ADAPTABLE.

Authors:  Faraz S Ahmad; Iben M Ricket; Bradley G Hammill; Lisa Eskenazi; Holly R Robertson; Lesley H Curtis; Cecilia D Dobi; Saket Girotra; Kevin Haynes; Jorge R Kizer; Sunil Kripalani; Mathew T Roe; Christianne L Roumie; Russ Waitman; W Schuyler Jones; Mark G Weiner
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-05-29

5.  Pragmatic clinical trials embedded in healthcare systems: generalizable lessons from the NIH Collaboratory.

Authors:  Kevin P Weinfurt; Adrian F Hernandez; Gloria D Coronado; Lynn L DeBar; Laura M Dember; Beverly B Green; Patrick J Heagerty; Susan S Huang; Kathryn T James; Jeffrey G Jarvik; Eric B Larson; Vincent Mor; Richard Platt; Gary E Rosenthal; Edward J Septimus; Gregory E Simon; Karen L Staman; Jeremy Sugarman; Miguel Vazquez; Douglas Zatzick; Lesley H Curtis
Journal:  BMC Med Res Methodol       Date:  2017-09-18       Impact factor: 4.615

6.  SNOMED CT Concept Hierarchies for Sharing Definitions of Clinical Conditions Using Electronic Health Record Data.

Authors:  Duwayne L Willett; Vaishnavi Kannan; Ling Chu; Joel R Buchanan; Ferdinand T Velasco; John D Clark; Jason S Fish; Adolfo R Ortuzar; Josh E Youngblood; Deepa G Bhat; Mujeeb A Basit
Journal:  Appl Clin Inform       Date:  2018-08-29       Impact factor: 2.342

7.  Phenotyping to Facilitate Accrual for a Cardiovascular Intervention.

Authors:  Kavishwar B Wagholikar; Christina M Fischer; Alyssa P Goodson; Christopher D Herrick; Taylor E Maclean; Katelyn V Smith; Liliana Fera; Thomas A Gaziano; Jacqueline R Dunning; Joshua Bosque-Hamilton; Lina Matta; Eloy Toscano; Brent Richter; Layne Ainsworth; Michael F Oates; Samuel Aronson; Calum A MacRae; Benjamin M Scirica; Akshay S Desai; Shawn N Murphy
Journal:  J Clin Med Res       Date:  2019-05-10

8.  User stories as lightweight requirements for agile clinical decision support development.

Authors:  Vaishnavi Kannan; Mujeeb A Basit; Puneet Bajaj; Angela R Carrington; Irma B Donahue; Emily L Flahaven; Richard Medford; Tsedey Melaku; Brett A Moran; Luis E Saldana; Duwayne L Willett; Josh E Youngblood; Seth M Toomay
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

9.  Principles and procedures for data and safety monitoring in pragmatic clinical trials.

Authors:  Gregory E Simon; Susan M Shortreed; Rebecca C Rossom; Robert B Penfold; Jo Ann M Sperl-Hillen; Patrick O'Connor
Journal:  Trials       Date:  2019-12-09       Impact factor: 2.279

10.  Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record-Based Computable Phenotype Derivation and Validation Study.

Authors:  David Chartash; Hyung Paek; James D Dziura; Bill K Ross; Daniel P Nogee; Eric Boccio; Cory Hines; Aaron M Schott; Molly M Jeffery; Mehul D Patel; Timothy F Platts-Mills; Osama Ahmed; Cynthia Brandt; Katherine Couturier; Edward Melnick
Journal:  JMIR Med Inform       Date:  2019-10-31
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