Evidence map›Paper›PMID 42046831›Full record

ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2026

Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care.

Bingsheng Yao, Menglin Zhao, Zhan Zhang, Pengqi Wang, Emma G Chester, Changchang Yin, Tianshi Li, Varun Mishra, Lace M Padilla, Odysseas P Chatzipanagiotou and 4 more

Abstract read
In one paragraph

Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Bingsheng YaoNortheastern University, Boston, Massachusetts, USA.ORCID 0009-0004-8329-4610
Menglin ZhaoNortheastern University, Boston, Massachusetts, USA.ORCID 0009-0006-8238-8134
Zhan ZhangPace University, New York, New York, USA.ORCID 0000-0001-6973-6903
Pengqi WangThe Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-7221-5348
Emma G ChesterThe Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-5564-5717
Changchang YinThe Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-6540-6365
Tianshi LiKhoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA.ORCID 0000-0003-0877-5727
Varun MishraNortheastern University, Boston, Massachusetts, USA.ORCID 0000-0003-3891-5460
Lace M PadillaKhoury College of Computer Science, Northeastern University, Boston, Massachusetts, USA.ORCID 0000-0001-9251-5279
Odysseas P ChatzipanagiotouThe Ohio State University, Columbus, Ohio, USA.ORCID 0009-0006-8377-0263
Timothy PawlikThe Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-7994-9870
Ping ZhangThe Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-4601-0779
Weidan CaoThe Ohio State University, Columbus, Ohio, USA.ORCID 0000-0001-5417-2121
Dakuo WangNortheastern University, Boston, Massachusetts, USA.ORCID 0000-0001-9371-9441

Funding

Treatment-Related Cardiotoxicity Risk Prediction for Breast Cancer Patients with a Multimodal AI-based SystemR01CA301579 · NCI · OHIO STATE UNIVERSITY · PI Daniel Addison, Weidan Cao · 2025 to 2026
$1.3M
SCH: Improving Early Prediction and Decision-Making for Sepsis with Human-AI CollaborationR01AI188576 · NIAID · OHIO STATE UNIVERSITY · PI Jeffrey M Caterino, Lace M. Padilla · 2024 to 2026
$895k
NCI NIH HHS R01 CA301579NIAID NIH HHS R01 AI188576
6 · The paper itself

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.

Indexed as

articulation workcare transitionscollaborationcontinuity of careinvisible workpatient carepatient-provider communication

Identifiers

PMID42046831
PMCPMC13110784

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.