Analyzing electronic medical records to extract prepregnancy morbidities and pregnancy complications: Toward a learning health system
More than three-quarters of pregnant women in the Australian urban setting experienced one or more morbidities during pregnancy, which can be associated with adverse pregnancy outcomes. This project contributes to developing a learning health system infrastructure to deliver high-value maternal health care while reducing costs.
Authors
- Rebecca F. Goldstein (ORCID: https://orcid.org/0000-0002-9215-8459)
- Lisa Moran (ORCID: https://orcid.org/0000-0001-5772-6484)
- Daniel L. Rolnik (ORCID: https://orcid.org/0000-0002-2263-3592)
- Helena Jane Teede (ORCID: https://orcid.org/0000-0001-7609-577X)
- Mihiretu Kebede (ORCID: https://orcid.org/0000-0002-5599-2823)
- Aya Mousa (ORCID: https://orcid.org/0000-0002-7356-4523)
- Joanne Enticott (ORCID: https://orcid.org/0000-0002-4480-5690)
- Mahnaz Bahri Khomami (ORCID: https://orcid.org/0000-0002-5955-1283)
- Yitayeh Belsti
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- Monash Health (AU)
- Monash University (AU)
Publication Details
- Journal
- Learning Health Systems
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1002/lrh2.10473
- Citations
- 2
- Primary Topic
- Pregnancy and preeclampsia studies
- Type
- article
- Field-Weighted Citation Impact
- 1.17