Methodological Issues in Using a Common Data Model of COVID-19 Vaccine Uptake and Important Adverse Events of Interest: Feasibility Study of Data and Connectivity COVID-19 Vaccines Pharmacovigilance in the United Kingdom.
Gayathri DelanerolleRobert WilliamsAna StipancicRachel ByfordAnna ForbesRuby S M TsangSneha N AnandDeclan T BradleySiobhán MurphyAshley AkbariStuart BedstonRonan A LyonsRhiannon K OwenFatemeh TorabiJillian BeggsAntony ChuterDominique BalharryMark P JoyAziz SheikhFrederick David Richard HobbsSimon de LusignanPublished in: JMIR formative research (2022)
This approach enables the use of mappings to different terminologies within the OMOP CDM without the need to catalogue an entire database. However, Read v2 has less granular concepts than some terminologies, such as SNOMED CT. Additionally, the OMOP CDM cannot compensate for limitations in the clinical coding system. Neither Read v2 nor ICD-10 is sufficiently granular to enable CVST to be specifically flagged. Hence, any pooled analysis will have to be at the less specific level of cerebrovascular venous thrombosis. Overall, the mappings within this CDM are useful, and our method could be used for rapid collaborations where there are only a limited number of concepts to pool.
Keyphrases
- coronavirus disease
- sars cov
- electronic health record
- big data
- single molecule
- computed tomography
- resting state
- image quality
- respiratory syndrome coronavirus
- functional connectivity
- white matter
- emergency department
- contrast enhanced
- cross sectional
- magnetic resonance
- magnetic resonance imaging
- dual energy
- data analysis
- machine learning