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

DP is a sociotechnical process in which human expertise and organizational context must guide system design. Participatory, context-aware design approaches are essential for integrating AI into clinical practice. Aligning technology with everyday workflows can increase acceptance and yield more effective digital interventions.

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Publication Details

Journal
JMIR Formative Research
Published
2025-12-24
DOI
https://doi.org/10.2196/81824
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Christophe Kunze, Heinrich Burkhardt, Natalie Victoria Grant, Johanna Sadel
JMIR Formative Research
Artificial Intelligence in Healthcare and Education
article

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

Christophe Kunze, Heinrich Burkhardt, Natalie Victoria Grant, Johanna Sadel
article en

Abstract

DP is a sociotechnical process in which human expertise and organizational context must guide system design. Participatory, context-aware design approaches are essential for integrating AI into clinical practice. Aligning technology with everyday workflows can increase acceptance and yield more effective digital interventions.

JMIR Formative ResearchVol. 10
Heidelberg University (DE), University Hospital Heidelberg (DE), University Medical Centre Mannheim (DE), Furtwangen University (DE)
Openalex Percentile: Top 40%
Artificial Intelligence in Healthcare and Education
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