Literature DB >> 25494561

Building electronic data infrastructure for comparative effectiveness research: accomplishments, lessons learned and future steps.

Gurvaneet S Randhawa1.   

Abstract

There are large gaps in our knowledge on the potential impact of diagnostics and therapeutics on outcomes of patients treated in the real world. Comparative effectiveness research aims to fill these gaps to maximize effectiveness of these interventions. Health information technology has the potential to dramatically improve the practice of medicine and of research. This is an overview of about US$100 million of American Recovery and Reinvestment Act investment in 12 projects managed by the Agency for Healthcare Research and Quality to build an electronic clinical data infrastructure that connects research with healthcare delivery. The achievements and lessons learned from these projects provided a foundation for the National Patient-Centered Clinical Research Network (PCORnet)and will help to guide future infrastructure development needed to build an efficient, scalable and sustainable learning health system.

Entities:  

Keywords:  American Recovery Reinvestment Act; clinical informatics; comparative effectiveness research; data infrastructure; distributed research; learning health system; quality improvement; registry; sustainability

Mesh:

Year:  2014        PMID: 25494561     DOI: 10.2217/cer.14.73

Source DB:  PubMed          Journal:  J Comp Eff Res        ISSN: 2042-6305            Impact factor:   1.744


  11 in total

1.  Statewide Hospital Discharge Data: Collection, Use, Limitations, and Improvements.

Authors:  Roxanne M Andrews
Journal:  Health Serv Res       Date:  2015-07-07       Impact factor: 3.402

2.  Clinical Research Informatics for Big Data and Precision Medicine.

Authors:  C Weng; M G Kahn
Journal:  Yearb Med Inform       Date:  2016-11-10

3.  The SHOnet learning health system: Infrastructure for continuous learning in pediatric rehabilitation.

Authors:  Nikolas Koscielniak; Diane Jenkins; Sahar Hassani; Cathleen Buckon; Joshua S Tucker; Susan Sienko; Carole A Tucker
Journal:  Learn Health Syst       Date:  2022-02-15

Review 4.  Methodological Issues in Analyzing Real-World Longitudinal Occupational Health Data: A Useful Guide to Approaching the Topic.

Authors:  Rémi Colin-Chevalier; Frédéric Dutheil; Sébastien Cambier; Samuel Dewavrin; Thomas Cornet; Julien Steven Baker; Bruno Pereira
Journal:  Int J Environ Res Public Health       Date:  2022-06-08       Impact factor: 4.614

5.  Impact of longitudinal data-completeness of electronic health record data on risk score misclassification.

Authors:  Yinzhu Jin; Sebastian Schneeweiss; Dave Merola; Kueiyu Joshua Lin
Journal:  J Am Med Inform Assoc       Date:  2022-06-14       Impact factor: 7.942

6.  Identifying Patients With High Data Completeness to Improve Validity of Comparative Effectiveness Research in Electronic Health Records Data.

Authors:  Kueiyu Joshua Lin; Daniel E Singer; Robert J Glynn; Shawn N Murphy; Joyce Lii; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2017-10-10       Impact factor: 6.875

7.  Longitudinal Data Discontinuity in Electronic Health Records and Consequences for Medication Effectiveness Studies.

Authors:  Kueiyu Joshua Lin; Yinzhu Jin; Joshua Gagne; Robert J Glynn; Shawn N Murphy; Angela Tong; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2021-09-20       Impact factor: 6.875

8.  Reporting Data Quality Assessment Results: Identifying Individual and Organizational Barriers and Solutions.

Authors:  Tiffany Callahan; Juliana Barnard; Laura Helmkamp; Julie Maertens; Michael Kahn
Journal:  EGEMS (Wash DC)       Date:  2017-09-04

9.  External Validation of an Algorithm to Identify Patients with High Data-Completeness in Electronic Health Records for Comparative Effectiveness Research.

Authors:  Kueiyu Joshua Lin; Gary E Rosenthal; Shawn N Murphy; Kenneth D Mandl; Yinzhu Jin; Robert J Glynn; Sebastian Schneeweiss
Journal:  Clin Epidemiol       Date:  2020-02-04       Impact factor: 4.790

10.  A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data.

Authors:  Michael G Kahn; Tiffany J Callahan; Juliana Barnard; Alan E Bauck; Jeff Brown; Bruce N Davidson; Hossein Estiri; Carsten Goerg; Erin Holve; Steven G Johnson; Siaw-Teng Liaw; Marianne Hamilton-Lopez; Daniella Meeker; Toan C Ong; Patrick Ryan; Ning Shang; Nicole G Weiskopf; Chunhua Weng; Meredith N Zozus; Lisa Schilling
Journal:  EGEMS (Wash DC)       Date:  2016-09-11
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