Literature DB >> 28269868

Feasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model.

Hyeoneui Kim1, Jeeyae Choi2, Imho Jang3, Jimmy Quach4, Lucila Ohno-Machado1.   

Abstract

We explored the feasibility of representing nursing research data with the Observational Medical Outcomes Partners (OMOP) Common Data Model (CDM) to understand the challenges and opportunities in representing various types of health data not limited to diseases and drug treatments. We collected 1,431 unique data items from 256 nursing articles and mapped them to the OMOP CDM. A deeper level of mapping was explored by simulating 10 data search use cases. Although the majority of the data could be represented in the OMOP CDM, potential information loss was identified in contents related to patient reported outcomes, socio-economic information, and locally developed nursing intervention protocols. These areas will be further investigated in a follow up study. We will use lessons learned in this study to inform the metadata development efforts for data discovery.

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Year:  2017        PMID: 28269868      PMCID: PMC5333244     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  30 in total

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  2 in total

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