FAIR-Birth: Development and Feasibility Testing of an AI-Supported Advance Birth Planning Application for Midwifery-Led Antenatal Care-A Mixed-Methods Study Protocol.

Schunk M, Hübener C, Robert S, Bayerl SP, Luegmair K

Open source

DOI
10.3390/healthcare14121607
Published
2026 Jun 8
Container
Healthcare (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/healthcare14121607,
  title = {FAIR-Birth: Development and Feasibility Testing of an AI-Supported Advance Birth Planning Application for Midwifery-Led Antenatal Care-A Mixed-Methods Study Protocol.},
  author = {Schunk M and Hübener C and Robert S and Bayerl SP and Luegmair K},
  year = {2026},
  journal = {Healthcare (Basel, Switzerland)},
  doi = {10.3390/healthcare14121607},
  url = {https://doi.org/10.3390/healthcare14121607}
}

RIS

TY  - JOUR
TI  - FAIR-Birth: Development and Feasibility Testing of an AI-Supported Advance Birth Planning Application for Midwifery-Led Antenatal Care-A Mixed-Methods Study Protocol.
AU  - Schunk M
AU  - Hübener C
AU  - Robert S
AU  - Bayerl SP
AU  - Luegmair K
PY  - 2026
JO  - Healthcare (Basel, Switzerland)
DO  - 10.3390/healthcare14121607
UR  - https://doi.org/10.3390/healthcare14121607
ER  - 

APA

M, S., C, H., S, R., SP, B., & K, L. (2026). FAIR-Birth: Development and Feasibility Testing of an AI-Supported Advance Birth Planning Application for Midwifery-Led Antenatal Care-A Mixed-Methods Study Protocol.. Healthcare (Basel, Switzerland). https://doi.org/10.3390/healthcare14121607

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