Literature DB >> 29610734

Extracting and utilizing electronic health data from Epic for research.

Alex Milinovich1, Michael W Kattan1.   

Abstract

Many institutions would like to harness their electronic health record (EHR) data for research. However, with many EHR systems, this process is remarkably difficult. We have been using our vast EHR system for research very effectively, with substantial research support and many publications. Herein we share our process and provide recommendations for others wanting to utilize their EHR data for research.

Keywords:  Electronic health records (EHRs); Epic; Unified Medical Language System (UMLS)

Year:  2018        PMID： 29610734      PMCID： PMC5879514          DOI： 10.21037/atm.2018.01.13

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN： 2305-5839


  33 in total

Review 1.  Insights into Computational Drug Repurposing for Neurodegenerative Disease.

Authors:  Manish D Paranjpe; Alice Taubes; Marina Sirota
Journal:  Trends Pharmacol Sci       Date:  2019-07-17       Impact factor: 14.819

2.  An Interdisciplinary Approach to Reducing Errors in Extracted Electronic Health Record Data for Research.

Authors:  Neelkamal Soares; Sorabh Singhal; Casey Kloosterman; Teresa Bailey
Journal:  Perspect Health Inf Manag       Date:  2021-03-15

3.  The UMLS knowledge sources at 30: indispensable to current research and applications in biomedical informatics.

Authors:  Betsy L Humphreys; Guilherme Del Fiol; Hua Xu
Journal:  J Am Med Inform Assoc       Date:  2020-10-01       Impact factor: 4.497

4.  Association of Use of Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers With Testing Positive for Coronavirus Disease 2019 (COVID-19).

Authors:  Neil Mehta; Ankur Kalra; Amy S Nowacki; Scott Anjewierden; Zheyi Han; Pavan Bhat; Andres E Carmona-Rubio; Miriam Jacob; Gary W Procop; Susan Harrington; Alex Milinovich; Lars G Svensson; Lara Jehi; James B Young; Mina K Chung
Journal:  JAMA Cardiol       Date:  2020-05-05       Impact factor: 14.676

5.  Using UMLS for electronic health data standardization and database design.

Authors:  Andrew P Reimer; Alex Milinovich
Journal:  J Am Med Inform Assoc       Date:  2020-10-01       Impact factor: 4.497

6.  Using the Unified Medical Language System to Expand the Operative Stress Score - First Use Case.

Authors:  Katherine M Reitz; Daniel E Hall; Myrick C Shinall; Paula K Shireman; Jonathan C Silverstein
Journal:  J Surg Res       Date:  2021-08-28       Impact factor: 2.192

7.  Association of Bariatric Surgery With Cancer Risk and Mortality in Adults With Obesity.

Authors:  Ali Aminian; Rickesha Wilson; Abbas Al-Kurd; Chao Tu; Alex Milinovich; Matthew Kroh; Raul J Rosenthal; Stacy A Brethauer; Philip R Schauer; Michael W Kattan; Justin C Brown; Nathan A Berger; Jame Abraham; Steven E Nissen
Journal:  JAMA       Date:  2022-06-28       Impact factor: 157.335

8.  Opioid2MME: Standardizing opioid prescriptions to morphine milligram equivalents from electronic health records.

Authors:  Juan Antonio Lossio-Ventura; Wenyu Song; Michael Sainlaire; Patricia C Dykes; Tina Hernandez-Boussard
Journal:  Int J Med Inform       Date:  2022-03-16       Impact factor: 4.730

9.  Association of Use of Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers With Testing Positive for Coronavirus Disease 2019 (COVID-19).

Authors:  Neil Mehta; Ankur Kalra; Amy S Nowacki; Scott Anjewierden; Zheyi Han; Pavan Bhat; Andres E Carmona-Rubio; Miriam Jacob; Gary W Procop; Susan Harrington; Alex Milinovich; Lars G Svensson; Lara Jehi; James B Young; Mina K Chung
Journal:  JAMA Cardiol       Date:  2020-09-01       Impact factor: 14.676

10.  A Methodology to Generate Longitudinally Updated Acute-On-Chronic Liver Failure Prognostication Scores From Electronic Health Record Data.

Authors:  Jin Ge; Nader Najafi; Wendi Zhao; Ma Somsouk; Margaret Fang; Jennifer C Lai
Journal:  Hepatol Commun       Date:  2021-03-12
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