Literature DB >> 21622040

Electronic medical records (EMRs), epidemiology, and epistemology: reflections on EMRs and future pediatric clinical research.

Richard C Wasserman1.   

Abstract

Electronic medical records (EMRs) are increasingly common in pediatric patient care. EMR data represent a relatively novel and rich resource for clinical research. The fact, however, that pediatric EMR data are collected for the purposes of clinical documentation and billing rather than research creates obstacles to their use in scientific investigation. Particular issues include accuracy, completeness, comparability between settings, ease of extraction, and context of recording. Although these problems can be addressed through standard strategies for dealing with partially accurate and incomplete data, a longer-term solution will involve work with pediatric clinicians to improve data quality. As research becomes one of the explicit purposes for which pediatricians collect EMR data, the pediatric clinician will play a central role in future pediatric clinical research.
Copyright © 2011 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 21622040      PMCID: PMC3138824          DOI: 10.1016/j.acap.2011.02.007

Source DB:  PubMed          Journal:  Acad Pediatr        ISSN: 1876-2859            Impact factor:   3.107


  38 in total

1.  The contextual nature of medical information.

Authors:  M Berg; E Goorman
Journal:  Int J Med Inform       Date:  1999-12       Impact factor: 4.046

2.  Multicenter epidemiologic and health services research on therapeutics in the HMO Research Network Center for Education and Research on Therapeutics.

Authors:  R Platt; R Davis; J Finkelstein; A S Go; J H Gurwitz; D Roblin; S Soumerai; D Ross-Degnan; S Andrade; M J Goodman; B Martinson; M A Raebel; D Smith; M Ulcickas-Yood; K A Chan
Journal:  Pharmacoepidemiol Drug Saf       Date:  2001 Aug-Sep       Impact factor: 2.890

3.  Power of expression in the electronic patient record: structured data or narrative text?

Authors:  C Lovis; R H Baud; P Planche
Journal:  Int J Med Inform       Date:  2000-09       Impact factor: 4.046

4.  "We fill in our working understanding": on codes, classifications and the production of accurate data.

Authors:  B R Winthereik
Journal:  Methods Inf Med       Date:  2003       Impact factor: 2.176

5.  Practice-based research networks: the laboratories of primary care research.

Authors:  Erik J Lindbloom; Bernard G Ewigman; John M Hickner
Journal:  Med Care       Date:  2004-04       Impact factor: 2.983

6.  Which physicians and practices are using electronic medical records?

Authors:  Catharine W Burt; Jane E Sisk
Journal:  Health Aff (Millwood)       Date:  2005 Sep-Oct       Impact factor: 6.301

Review 7.  Methodologic issues in pediatric outcomes research.

Authors:  D A Christakis; B D Johnston; F A Connell
Journal:  Ambul Pediatr       Date:  2001 Jan-Feb

8.  How well does chart abstraction measure quality? A prospective comparison of standardized patients with the medical record.

Authors:  J Luck; J W Peabody; T R Dresselhaus; M Lee; P Glassman
Journal:  Am J Med       Date:  2000-06-01       Impact factor: 4.965

9.  The Regenstrief Medical Record System: a quarter century experience.

Authors:  C J McDonald; J M Overhage; W M Tierney; P R Dexter; D K Martin; J G Suico; A Zafar; G Schadow; L Blevins; T Glazener; J Meeks-Johnson; L Lemmon; J Warvel; B Porterfield; J Warvel; P Cassidy; D Lindbergh; A Belsito; M Tucker; B Williams; C Wodniak
Journal:  Int J Med Inform       Date:  1999-06       Impact factor: 4.046

10.  A cost-benefit analysis of electronic medical records in primary care.

Authors:  Samuel J Wang; Blackford Middleton; Lisa A Prosser; Christiana G Bardon; Cynthia D Spurr; Patricia J Carchidi; Anne F Kittler; Robert C Goldszer; David G Fairchild; Andrew J Sussman; Gilad J Kuperman; David W Bates
Journal:  Am J Med       Date:  2003-04-01       Impact factor: 4.965

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  28 in total

1.  A security framework for nationwide health information exchange based on telehealth strategy.

Authors:  B B Zaidan; Ahmed Haiqi; A A Zaidan; Mohamed Abdulnabi; M L Mat Kiah; Hussaen Muzamel
Journal:  J Med Syst       Date:  2015-03-03       Impact factor: 4.460

Review 2.  Comparative effectiveness research using the electronic medical record: an emerging area of investigation in pediatric primary care.

Authors:  Alexander G Fiks; Robert W Grundmeier; Benyamin Margolis; Louis M Bell; Jennifer Steffes; James Massey; Richard C Wasserman
Journal:  J Pediatr       Date:  2012-02-24       Impact factor: 4.406

3.  The future state of clinical data capture and documentation: a report from AMIA's 2011 Policy Meeting.

Authors:  Caitlin M Cusack; George Hripcsak; Meryl Bloomrosen; S Trent Rosenbloom; Charlotte A Weaver; Adam Wright; David K Vawdrey; Jim Walker; Lena Mamykina
Journal:  J Am Med Inform Assoc       Date:  2012-09-08       Impact factor: 4.497

4.  Using computer-extracted data from electronic health records to measure the quality of adolescent well-care.

Authors:  William Gardner; Suzanne Morton; Sepheen C Byron; Aldo Tinoco; Benjamin D Canan; Karen Leonhart; Vivian Kong; Sarah Hudson Scholle
Journal:  Health Serv Res       Date:  2014-01-29       Impact factor: 3.402

5.  Effect of provider prompts on adolescent immunization rates: a randomized trial.

Authors:  Peter G Szilagyi; Janet R Serwint; Sharon G Humiston; Cynthia M Rand; Stanley Schaffer; Phyllis Vincelli; Nui Dhepyasuwan; Aaron Blumkin; Christina Albertin; C Robinette Curtis
Journal:  Acad Pediatr       Date:  2015 Mar-Apr       Impact factor: 3.107

6.  Presenting predictors and temporal trends of treatment-related outcomes in diabetic ketoacidosis.

Authors:  Christopher M Horvat; Heba M Ismail; Alicia K Au; Luigi Garibaldi; Nalyn Siripong; Sajel Kantawala; Rajesh K Aneja; Diane S Hupp; Patrick M Kochanek; Robert Sb Clark
Journal:  Pediatr Diabetes       Date:  2018-04-26       Impact factor: 4.866

7.  Development of a large urban longitudinal HIV clinical cohort using a web-based platform to merge electronically and manually abstracted data from disparate medical record systems: technical challenges and innovative solutions.

Authors:  Alan E Greenberg; Harlen Hays; Amanda D Castel; Thilakavathy Subramanian; Lindsey Powers Happ; Maria Jaurretche; Jeff Binkley; Mariah M Kalmin; Kathy Wood; Rachel Hart
Journal:  J Am Med Inform Assoc       Date:  2015-12-31       Impact factor: 4.497

8.  Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries.

Authors:  Ching-Heng Lin; Nai-Yuan Wu; Wei-Shao Lai; Der-Ming Liou
Journal:  J Am Med Inform Assoc       Date:  2014-10-20       Impact factor: 4.497

9.  Extracting autism spectrum disorder data from the electronic health record.

Authors:  Ruth A Bush; Cynthia D Connelly; Alexa Pérez; Halsey Barlow; George J Chiang
Journal:  Appl Clin Inform       Date:  2017-07-19       Impact factor: 2.342

Review 10.  New methods for determining comparative effectiveness in rheumatoid arthritis.

Authors:  Huifeng Yun; Jeffrey R Curtis
Journal:  Curr Opin Rheumatol       Date:  2013-05       Impact factor: 5.006

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