🤖 AI Summary
This study addresses care fragmentation between clinical teams and patients during the post-gastrointestinal-surgery discharge transition, identifying critical gaps in recovery support arising from ambiguous coordination boundaries, nonstandardized handoff procedures, information silos, and misaligned resource allocation between hospital and community/home settings. Using a qualitative approach grounded in human-computer interaction and interprofessional collaboration frameworks, we conducted semi-structured interviews with 13 healthcare professionals and 4 patients. Findings reveal that such fragmentation directly undermines patients’ readiness for home care, fragments clinical data, and delays shared decision-making. Based on these insights, we propose three actionable design opportunities: (1) explicit articulation of task ownership and accountability; (2) standardization of structured, bidirectional discharge handoff protocols; and (3) dynamic alignment of care plans with real-time clinical signals and patients’ evolving home capabilities. The study provides empirically grounded, implementable strategies to strengthen continuity of care in postoperative recovery systems.
📝 Abstract
Post-surgery care involves ongoing collaboration between provider teams and patients, which starts from post-surgery hospitalization through home recovery after discharge. While prior HCI research has primarily examined patients' challenges at home, less is known about how provider teams coordinate discharge preparation and care handoffs, and how breakdowns in communication and care pathways may affect patient recovery. To investigate this gap, we conducted semi-structured interviews with 13 healthcare providers and 4 patients in the context of gastrointestinal (GI) surgery. We found coordination boundaries between in- and out-patient teams, coupled with complex organizational structures within teams, impeded the "invisible work" of preparing patients' home care plans and triaging patient information. For patients, these breakdowns resulted in inadequate preparation for home transition and fragmented self-collected data, both of which undermine timely clinical decision-making. Based on these findings, we outline design opportunities to formalize task ownership and handoffs, contextualize co-temporal signals, and align care plans with home resources.