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

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Titel FAIR-Birth: Development and Feasibility Testing of an AI-Supported Advance Birth Planning Application for Midwifery-Led Antenatal Care—A Mixed-Methods Study Protocol
Medien Healthcare
Verfasser Prof. Dr. Michaela Schunk, Christoph Hübener, Prof. Dr. Sebastian Robert, Prof. Dr. Sebastian Bayerl, Karolina Luegmair
Veröffentlichungsdatum 08.06.2026
Zitation Schunk, Michaela; Hübener, Christoph; Robert, Sebastian; Bayerl, Sebastian; Luegmair, Karolina (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. DOI: 10.3390/healthcare14121607