Literature DB >> 23570430

Application of electronic medical record data for health outcomes research: a review of recent literature.

Junji Lin1, Tianze Jiao, Joseph E Biskupiak, Carrie McAdam-Marx.   

Abstract

Electronic medical records (EMRs) have become a common source of data for outcomes research. This review discusses trends in EMR data use for outcomes research as well as strengths and limitations, and likely future developments to help optimize value and use of EMR data for outcomes research. EMR-based studies reporting treatment outcomes published between 2007 and 2012 were predominantly from the USA and Europe. There has been a substantial increase in the number of EMR-based outcomes studies published from 2007-2008 (n = 28) to 2010-2011 (n = 55). Many studies evaluated biometric and laboratory test outcomes in common chronic conditions. However, researchers are expanding the scope of evaluated diseases and outcomes using advanced techniques, such as natural language processing and linking EMRs to other patient-level data to overcome issues with missing data or data that cannot be accessed using standard queries. These advances will help to expand the scope and sophistication of outcomes research in the coming years.

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Mesh:

Year:  2013        PMID: 23570430     DOI: 10.1586/erp.13.7

Source DB:  PubMed          Journal:  Expert Rev Pharmacoecon Outcomes Res        ISSN: 1473-7167            Impact factor:   2.217


  10 in total

1.  Ethical Implications of Clinical Genomic Information, Records Research, and Informed Consent.

Authors:  Susannah W Lee
Journal:  Ochsner J       Date:  2018

2.  Which Propensity Score Method Best Reduces Confounder Imbalance? An Example From a Retrospective Evaluation of a Childhood Obesity Intervention.

Authors:  Krista Schroeder; Haomiao Jia; Arlene Smaldone
Journal:  Nurs Res       Date:  2016 Nov/Dec       Impact factor: 2.381

3.  Differences in nationwide cohorts of acupuncture users identified using structured and free text medical records.

Authors:  Doug Redd; Jinqiu Kuang; Qing Zeng-Treitler
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

4.  Balancing the Evidence: How to Reconcile the Results of Observational Studies vs. Randomized Clinical Trials in Dialysis.

Authors:  Jenny I Shen; Erik L Lum; Tara I Chang
Journal:  Semin Dial       Date:  2016-05-21       Impact factor: 3.455

5.  Mind the gap: observation windows to define periods of event ascertainment as a quality control method for longitudinal electronic health record data.

Authors:  Keri N Althoff; Cherise Wong; Brenna Hogan; Fidel Desir; Bin You; Elizabeth Humes; Jinbing Zhang; Yuezhou Jing; Sharada Modur; Jennifer S Lee; Aimee Freeman; Mari Kitahata; Stephen Van Rompaey; W Christopher Mathews; Michael A Horberg; Michael J Silverberg; Angel M Mayor; Kate Salters; Richard D Moore; Stephen J Gange
Journal:  Ann Epidemiol       Date:  2019-03-04       Impact factor: 3.797

6.  Benefits of applying a proxy eligibility period when using electronic health records for outcomes research: a simulation study.

Authors:  Tzy-Chyi Yu; Huanxue Zhou
Journal:  BMC Res Notes       Date:  2015-06-09

7.  Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

Authors:  Richard G Jackson; Rashmi Patel; Nishamali Jayatilleke; Anna Kolliakou; Michael Ball; Genevieve Gorrell; Angus Roberts; Richard J Dobson; Robert Stewart
Journal:  BMJ Open       Date:  2017-01-17       Impact factor: 2.692

8.  Evaluating a Web-Based Coaching Program Using Electronic Health Records for Patients With Chronic Obstructive Pulmonary Disease in China: Randomized Controlled Trial.

Authors:  Lan Wang; Lin He; Yanxia Tao; Li Sun; Hong Zheng; Yashu Zheng; Yuehao Shen; Suyan Liu; Yue Zhao; Yaogang Wang
Journal:  J Med Internet Res       Date:  2017-07-21       Impact factor: 5.428

9.  Variation in Documenting Diagnosable Chronic Kidney Disease in General Medical Practice: Implications for Quality Improvement and Research.

Authors:  Alex Kitsos; Gregory M Peterson; Matthew D Jose; Masuma Akter Khanam; Ronald L Castelino; Jan C Radford
Journal:  J Prim Care Community Health       Date:  2019 Jan-Dec

10.  Enhanced Screening and Research Data Collection via Automated EHR Data Capture and Early Identification of Sepsis.

Authors:  Reba Umberger; Chayawat Yo Indranoi; Melanie Simpson; Rose Jensen; James Shamiyeh; Sachin Yende
Journal:  SAGE Open Nurs       Date:  2019-05-24
  10 in total

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