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This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (5513) Clinical Informatics (2454) Clinical Information and Decision Making (3985) Design of Processes and Workflows (314) Artificial Intelligence (5151)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81824, first published .
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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
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Wright E, Bennett C, Turner J. Agentic Artificial Intelligence System for Coordinating Hospital Discharge Tasks Using Care Plans, Medication Reconciliation Data, Transport Requests, Follow-Up Scheduling Rules, and Pending Order Status. Journal of Health Informatics and Digital Systems 2026;6(1) View
  2. Nelly Mandasari . Hospital workflow compliance and timeliness of inpatient medical record return: Evidence from a cross-sectional study in indonesia. Journal Interdisciplinary Health 2026;2(4):205 View