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Missing Laboratory Results Data in Electronic Health Databases: Implications for Monitoring Diabetes Risk

Basic Details
Date
Friday, January 6, 2017
Type
Publication
Description

This project assesses the value of lab results added to diagnosis codes and dispensing claims to identify incident diabetes using the Mini-Sentinel Distributed Database (MSDD).

Materials

Journal of Comparative Effectiveness Research; Volume 6, No. 1, 6 January 2017, Pages 25-32, DOI: 10.2217/cer-2016-0033

Related Assessment(s)
Analytic Methods for Using Laboratory Test Results In Active Database Surveillance
Author(s)

James H. Flory MD, MS, Jason Roy PhD, Joshua Gagne PharmD, ScD, Kevin Haynes PharmD, ScD, Lisa Herrinton PhD, Christine Lu PhD, MSc, Elisabetta Patorno MD, DrPH, Azadeh Shoaibi PhD, MHS, Marsha Raebel PharmD

Corresponding Author

J. H. Flory, Weill Cornell Medicine, NY, USA. Email: jaf9052@med.cornell.edu