Literature DB >> 29802975

Leveraging electronic health records for clinical research.

Sudha R Raman1, Lesley H Curtis2, Robert Temple3, Tomas Andersson4, Justin Ezekowitz5, Ian Ford6, Stefan James7, Keith Marsolo8, Parsa Mirhaji9, Mitra Rocca3, Russell L Rothman10, Barathi Sethuraman11, Norman Stockbridge3, Sharon Terry12, Scott M Wasserman13, Eric D Peterson2, Adrian F Hernandez2.   

Abstract

Electronic health records (EHRs) can be a major tool in the quest to decrease costs and timelines of clinical trial research, generate better evidence for clinical decision making, and advance health care. Over the past decade, EHRs have increasingly offered opportunities to speed up, streamline, and enhance clinical research. EHRs offer a wide range of possible uses in clinical trials, including assisting with prestudy feasibility assessment, patient recruitment, and data capture in care delivery. To fully appreciate these opportunities, health care stakeholders must come together to face critical challenges in leveraging EHR data, including data quality/completeness, information security, stakeholder engagement, and increasing the scale of research infrastructure and related governance. Leaders from academia, government, industry, and professional societies representing patient, provider, researcher, industry, and regulator perspectives convened the Leveraging EHR for Clinical Research Now! Think Tank in Washington, DC (February 18-19, 2016), to identify barriers to using EHRs in clinical research and to generate potential solutions. Think tank members identified a broad range of issues surrounding the use of EHRs in research and proposed a variety of solutions. Recognizing the challenges, the participants identified the urgent need to look more deeply at previous efforts to use these data, share lessons learned, and develop a multidisciplinary agenda for best practices for using EHRs in clinical research. We report the proceedings from this think tank meeting in the following paper.
Copyright © 2018 Elsevier, Inc. All rights reserved.

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Year:  2018        PMID: 29802975     DOI: 10.1016/j.ahj.2018.04.015

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  11 in total

1.  Electronic medical record-based cohort selection and direct-to-patient, targeted recruitment: early efficacy and lessons learned.

Authors:  Hailey N Miller; Kelly T Gleason; Stephen P Juraschek; Timothy B Plante; Cassie Lewis-Land; Bonnie Woods; Lawrence J Appel; Daniel E Ford; Cheryl R Dennison Himmelfarb
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

2.  Evaluating the Coverage of the HL7 ® FHIR ® Standard to Support eSource Data Exchange Implementations for use in Multi-Site Clinical Research Studies.

Authors:  Maryam Y Garza; Michael Rutherford; Sahiti Myneni; Susan Fenton; Anita Walden; Umit Topaloglu; Eric Eisenstein; Karan R Kumar; Kanecia O Zimmerman; Mitra Rocca; Gideon Scott Gordon; Sam Hume; Zhan Wang; Meredith Zozus
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

3.  Considerations for observational study design: Comparing the evidence of opioid use between electronic health records and insurance claims.

Authors:  Jessica C Young; Nabarun Dasgupta; Til Stürmer; Virginia Pate; Michele Jonsson Funk
Journal:  Pharmacoepidemiol Drug Saf       Date:  2022-05-23       Impact factor: 2.732

4.  Utilization of a Best Practice Alert (BPA) at Point-of-Care for Recruitment into a US-Based Autism Research Study.

Authors:  Andrea R Simon; Kelli L Ahmed; Danica L Limon; Gabrielle F Duhon; Gabriela Marzano; Robin P Goin-Kochel
Journal:  J Autism Dev Disord       Date:  2022-01-28

5.  Part 1: The Wider Considerations in Translating Heart Failure Guidelines.

Authors:  Pupalan Iyngkaran; Andrew Wilson; James Wong; David Prior; David Kaye; David L Hare; Peter Bergin; Michael Jelinem
Journal:  Curr Cardiol Rev       Date:  2021

6.  Establishing a National Cardiovascular Disease Surveillance System in the United States Using Electronic Health Record Data: Key Strengths and Limitations.

Authors:  Brent A Williams; Stephen Voyce; Stephen Sidney; Véronique L Roger; Timothy B Plante; Sharon Larson; Michael J LaMonte; Darwin R Labarthe; Bailey M DeBarmore; Alexander R Chang; Alanna M Chamberlain; Catherine P Benziger
Journal:  J Am Heart Assoc       Date:  2022-04-12       Impact factor: 6.106

7.  Rates and Predictors of Patient Underreporting of Hospitalizations During Follow-Up After Acute Myocardial Infarction: An Assessment From the TRIUMPH Study.

Authors:  César Caraballo; Rohan Khera; Philip G Jones; Carole Decker; Wade Schulz; John A Spertus; Harlan M Krumholz
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-06-19

8.  Development of electronic medical records for clinical and research purposes: the breast cancer module using an implementation framework in a middle income country- Malaysia.

Authors:  Nurul Aqilah Mohd Nor; Nur Aishah Taib; Marniza Saad; Hana Salwani Zaini; Zahir Ahmad; Yamin Ahmad; Sarinder Kaur Dhillon
Journal:  BMC Bioinformatics       Date:  2019-02-04       Impact factor: 3.169

9.  Antibiotic Review Kit for Hospitals (ARK-Hospital): study protocol for a stepped-wedge cluster-randomised controlled trial.

Authors:  Ann Sarah Walker; Eric Budgell; Magda Laskawiec-Szkonter; Katy Sivyer; Sarah Wordsworth; Jack Quaddy; Marta Santillo; Adele Krusche; Laurence S J Roope; Nicole Bright; Fiona Mowbray; Nicola Jones; Kieran Hand; Najib Rahman; Melissa Dobson; Emma Hedley; Derrick Crook; Mike Sharland; Chris Roseveare; F D Richard Hobbs; Chris Butler; Louella Vaughan; Susan Hopkins; Lucy Yardley; Timothy E A Peto; Martin J Llewelyn
Journal:  Trials       Date:  2019-07-11       Impact factor: 2.279

10.  Constructing Epidemiologic Cohorts from Electronic Health Record Data.

Authors:  Brent A Williams
Journal:  Int J Environ Res Public Health       Date:  2021-12-14       Impact factor: 3.390

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