This paper is in the following e-collection/theme issue:

Electronic Health Records (1068)

Published on in Vol 5, No 3 (2017): Jul-Sept

Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application

Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application

Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application

Authors of this article:

Peggy Peissig1 Author Orcid Image ;   Kelsey M Schwei2 Author Orcid Image ;   Christopher Kadolph1 Author Orcid Image ;   Joseph Finamore1 Author Orcid Image ;   Efrain Cancel3 Author Orcid Image ;   Catherine A McCarty4 Author Orcid Image ;   Asha Okorie3 Author Orcid Image ;   Kate L Thomas1 Author Orcid Image ;   Jennifer Allen Pacheco5 Author Orcid Image ;   Jyotishman Pathak6 Author Orcid Image ;   Stephen B Ellis7 Author Orcid Image ;   Joshua C Denny8 Author Orcid Image ;   Luke V Rasmussen9 Author Orcid Image ;   Gerard Tromp10 Author Orcid Image ;   Marc S Williams11 Author Orcid Image ;   Tamara R Vrabec12 Author Orcid Image ;   Murray H Brilliant13 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Pendergrass S, Crawford D. Using Electronic Health Records To Generate Phenotypes For Research. Current Protocols in Human Genetics 2019;100(1) View
  2. Nealon C, Halladay C, Kinzy T, Simpson P, Canania R, Anthony S, Roncone D, Sawicki Rogers L, Leber J, Dougherty J, Sullivan J, Wu W, Greenberg P, Iyengar S, Crawford D, Peachey N, Cooke Bailey J. Development and Evaluation of a Rules-based Algorithm for Primary Open-Angle Glaucoma in the VA Million Veteran Program. Ophthalmic Epidemiology 2022;29(6):640 View