Journal:Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)
| Full article title | Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI) |
|---|---|
| Journal | BMJ Health & Care Informatics |
| Author(s) | Dixon, Brian E.; Wen, Chen; French, Tony; Williams, Jennifer L.; Duke, Jon D.; Grannis, Shaun J. |
| Author affiliation(s) | Indiana University–Purdue University Indianapolis, Regenstrief Institute, Georgia Tech Research Institute |
| Primary contact | Email: bedixon at regenstrief dot org |
| Year published | 2020 |
| Volume and issue | 27 (1) |
| Article # | e100054 |
| DOI | 10.1136/bmjhci-2019-100054 |
| ISSN | 2632-1009 |
| Distribution license | Creative Commons Attribution-NonCommercial 4.0 International |
| Website | https://informatics.bmj.com/content/27/1/e100054 |
| Download | https://informatics.bmj.com/content/bmjhci/27/1/e100054.full.pdf (PDF) |
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This article should be considered a work in progress and incomplete. Consider this article incomplete until this notice is removed. |
Abstract
Introduction: As the health system seeks to leverage large-scale data to inform population outcomes, the informatics community is developing tools for analyzing these data. To support data quality assessment within such a tool, we extended the open-source software Observational Health Data Sciences and Informatics (OHDSI) to incorporate new functions useful for population health.
Methods: We developed and tested methods to measure the completeness, timeliness, and entropy of information. The new data quality methods were applied to over 100 million clinical messages received from emergency department information systems for use in public health syndromic surveillance systems.
Discussion: While completeness and entropy methods were implemented by the OHDSI community, timeliness was not adopted as its context did not fit with the existing OHDSI domains. The case report examines the process and reasons for acceptance and rejection of ideas proposed to an open-source community like OHDSI.
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This presentation is faithful to the original, with only a few minor changes to presentation.
