EHR Journal Club

I coordinate a bi-monthly journal club on research with EHR data

June 1, 2018 – FHIR

Presenter: Shelley Rusincovitch

  • Mandl KD, Kohane IS. A 21st-Century Health IT System – Creating a Real-World Information Economy. N Engl J Med. 2017 May 18;376(20):1905-1907
  • Rajkomar et al. Scalable and accurate deep learning with electronic health records. NPJ Digital Medicine, 2018. 1(1): p. 18

April 6, 2018 – Leveraging Natural Language Processing in the EHR to Improve Clinical Outcomes

Presenter: Brian Douthit

  • Sharma, V. & Sarkar N. Identifying Supplement Use Within Clinical Notes: An Application of Natural Language Processing
  • Xie F., Im, T. & Getahun D. A computerized algorithm to capture patient’s past preeclampsia and eclampsia history from prenatal clinical notes

January 26, 2018 – Distributed Analytics

Presenter: Karen Chiswell & Amanda Brucker

  • Narasimhan et al. Software for Distributed Computation on Medical Databases: A Demonstration Project
  • Cook AJ. et al. Statistical Methods for Estimating Causal Risk Differences in the Distributed Data Setting for Postmarket Safety Outcomes

December 1, 2017 – Maren Olsen – Analysis of longitudinal EHR data

Presenter: Maren Olsen

  • Maciejewski et al. Do the Benefits of Participation in a Hypertension Self-Management Trial Persist After Patient Resume Usual Care?
  • Pullenyegum EM. & Lim L SH.  Longitudinal data subject to irregular observation: A review of methods with a focus on visit processes, assumptions, and study design

September 29, 2017 – Clinical Trials Data vs EHR Data

Presenter: Ben Goldstein

  • Kopke et al. Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence
  • Weng C. et al. Distribution-based Method for Assessing The Differences between Clinical Trial Target Populations and Patient Populations in Electronic Health Records

June 2, 2017 – NLP for EHR Data

Presenter: Jessie Tenenbaum

  • Lyalina S. et al. Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records
  • Mowery DL., et al. Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis
  • Rumshisky A. et al. Predicting early psychiatric readmission with natural language processing of narrative discharge summaries

March 24, 2017 – Selection Bias in EHRs

Topic:  Nrupen Bhavsar

  • Haneuse S. et al. Learning About Missing Data Mechanisms in Electronic Health Records-based Research A Survey-based Approach
  • Madden JM. et al. Missing clinical and behavioral health data in a large electronic health record (EHR) system
  • Wells BJ. et al. Strategies for Handling Missing Data in Electronic Health Record Derived Data