Journal article icon

Journal article

Ontology to identify pregnant women in electronic health records: primary care sentinel network database study

Abstract:

OBJECTIVE:To develop an ontology to identify pregnant women from computerised medical record systems with dissimilar coding systems in a primary care sentinel network. MATERIALS AND METHODS:We used a three-step approach to develop our pregnancy ontology in two different coding schemata, one hierarchical and the other polyhierarchical. We developed a coding system-independent pregnancy case identification algorithm using the Royal College of General Practitioners Research and Surveillance Cent...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Authors


More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Department:
Unknown
Role:
Author
ORCID:
0000-0002-8553-2641
Publisher:
BMJ Publishing Group
Journal:
BMJ Health and Care Informatics More from this journal
Volume:
26
Issue:
1
Article number:
e100013
Publication date:
2019-07-04
Acceptance date:
2019-05-28
DOI:
ISSN:
2632-1009
Pmid:
31272998
Language:
English
Keywords:
Pubs id:
pubs:1029684
UUID:
uuid:8f9221d1-8ae3-402d-b7ed-f0e8e09adf5f
Local pid:
pubs:1029684
Source identifiers:
1029684
Deposit date:
2019-11-01

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP