Difference between revisions of "File:Fig1 Dixon BMJHealthCareInfo2020 27-1.png"
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==Summary== | |||
{{Information | |||
|Description='''Fig. 1''' Technical architecture for the data analytics environment. Data are sent from the source hospitals to the health information exchange. The data are replicated at the Regenstrief Institute, where they are extracted, transformed and loaded into the common data model. Once in the OMOP data store, the data can be queried by researchers and assessed for data quality. ETL, extract, transform, load; INPC, Indiana Network for Patient Care; INPCR, INPC for research; PHESS, Public Health Emergency Surveillance System; OHDSI, Observational Health Data Sciences and Informatics; OMOP, Observational Medical Outcomes Partnership | |||
|Source={{cite journal |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=Dixon, B.E.; Wen, C.; French, T.; Williams, J.L.; Duke, J.D.; Grannis, S.J. |volume=27 |issue=1 |at=e100054 |year=2020 |doi=10.1136/bmjhci-2019-100054}} | |||
|Author=Dixon, B.E.; Wen, C.; French, T.; Williams, J.L.; Duke, J.D.; Grannis, S.J. | |||
|Date=2020 | |||
|Permission=[https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Attribution-NonCommercial 4.0 International] | |||
}} | |||
== Licensing == | == Licensing == | ||
{{cc-by-nc-4.0}} | {{cc-by-nc-4.0}} | ||
Latest revision as of 14:40, 11 August 2020
Summary
| Description |
Fig. 1 Technical architecture for the data analytics environment. Data are sent from the source hospitals to the health information exchange. The data are replicated at the Regenstrief Institute, where they are extracted, transformed and loaded into the common data model. Once in the OMOP data store, the data can be queried by researchers and assessed for data quality. ETL, extract, transform, load; INPC, Indiana Network for Patient Care; INPCR, INPC for research; PHESS, Public Health Emergency Surveillance System; OHDSI, Observational Health Data Sciences and Informatics; OMOP, Observational Medical Outcomes Partnership |
|---|---|
| Source |
Dixon, B.E.; Wen, C.; French, T.; Williams, J.L.; Duke, J.D.; Grannis, S.J. (2020). "Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)". BMJ Health & Care Informatics 27 (1): e100054. doi:10.1136/bmjhci-2019-100054. |
| Date |
2020 |
| Author |
Dixon, B.E.; Wen, C.; French, T.; Williams, J.L.; Duke, J.D.; Grannis, S.J. |
| Permission (Reusing this file) |
Creative Commons Attribution-NonCommercial 4.0 International |
| Other versions |
Licensing
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This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. |
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