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Formative Evaluation of Digital Health Interventions (3435) Clinical Informatics (1433) Clinical Information and Decision Making (2059) Design of Processes and Workflows (210) Artificial Intelligence (2329)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81824, first published .
Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study

Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study

Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study

Authors of this article:

Johanna Sadel1 Author Orcid Image ;   Natalie Victoria Grant2 Author Orcid Image ;   Heinrich Burkhardt2 Author Orcid Image ;   Christophe Kunze1 Author Orcid Image
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Johanna Sadel   1 , MA ;   Natalie Victoria Grant   2 , MSc ;   Heinrich Burkhardt   2 , Prof Dr ;   Christophe Kunze   1 , Prof Dr

1 Care & Technology Lab, Furtwangen University, Furtwangen, Germany

2 Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany

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