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Common problems, common data model solutions: evidence generation for health technology assessment

Abstract:

There is growing interest in using observational data to assess the safety, effectiveness, and cost effectiveness of medical technologies, but operational, technical, and methodological challenges limit its more widespread use. Common data models and federated data networks offer a potential solution to many of these problems. The open-source Observational and Medical Outcomes Partnerships (OMOP) common data model standardises the structure, format, and terminologies of otherwise disparate da...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s40273-020-00981-9

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
Publisher:
Springer
Journal:
PharmacoEconomics More from this journal
Volume:
39
Issue:
3
Pages:
275–285
Publication date:
2020-12-18
Acceptance date:
2020-11-05
DOI:
EISSN:
1179-2027
ISSN:
1170-7690
Language:
English
Keywords:
Pubs id:
1140250
Local pid:
pubs:1140250
Deposit date:
2020-11-02

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