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Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study
Discharge planning (DP) is crucial for care continuity after a hospital stay but remains complex due to organizational constraints, interprofessional coordination, and administrative demands. Despite ongoing digitalization efforts, many health technologies overlook the sociotechnical nature of discharge processes, limiting acceptance and integration into clinical workflows.
Medigy Insights
Hospital discharge planning remains a major challenge in modern healthcare systems due to communication gaps, administrative workload, and coordination issues between care teams. AI-powered healthcare tools can improve care continuity and operational efficiency when designed around real clinical workflows and patient-centered healthcare needs.
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Evaluating a Telemedical Follow-Up Program for Continuity of Care After Hospital Discharge: Prospective Clinical Intervention Study
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