ArticleACM transactions on computer-human interaction : a publication of the Association for Computing Machinery2016
Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help.
Article in ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review.Frontiers in psychology · 2022Pooled it
- Clinicians' perspectives on machine learning for obstructive sleep apnoea detection: a human factors study.Frontiers in digital health · 2026Article
- To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events.Proceedings of the ACM on human-computer interaction · 2025Article
- Human performance evaluation of a pediatric artificial intelligence sepsis model.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- What Impacts Endure: A Technologist's Notes on GPT's Impact on Expert Work.Journal of applied research in memory and cognition · 2024Article
- Trustworthy and ethical AI-enabled cardiovascular care: a rapid review.BMC medical informatics and decision making · 2024Review
- Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024Article
- Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024Article
- Investigating Why Clinicians Deviate from Standards of Care: Liberating Patients from Mechanical Ventilation in the ICU.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024Article
- Supporting Awareness of Dynamic Data: Approaches to Designing and Capturing Data within Interactive Clinical Checklists.DIS. Designing Interactive Systems (Conference) · 2023Article
- Transitioning Cognitive Aids into Decision Support Platforms: Requirements and Design Guidelines.ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery · 2023Article
- Information Seeking and Sensemaking in Emergency Medical Service through Simulation Video Review.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- CARDIOSIMBioengineering (Basel, Switzerland) · 2022Review
- General Roadmap and Core Steps for the Development of AI Tools in Digital Pathology.Diagnostics (Basel, Switzerland) · 2022Article
- Designing Flexible Longitudinal Regimens: Supporting Clinician Planning for Discontinuation of Psychiatric Drugs.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2022Article
- A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study.Journal of medical Internet research · 2022Article
- Why and How to Approach User Experience in Safety-Critical Domains: The Example of Health Care.Human factors · 2021Article
- Designing Interactive Alerts to Improve Recognition of Critical Events in Medical Emergencies.DIS. Designing Interactive Systems (Conference) · 2021Article
- Exploration and Initial Development of Text Classification Models to Identify Health Information Technology Usability-Related Patient Safety Event Reports.Applied clinical informatics · 2019Article
- Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Clinical decision support tools (DSTs) are computational systems that aid healthcare decision-making. While effective in labs, almost all these systems failed when they moved into clinical practice. Healthcare researchers speculated it is most likely due to a lack of user-centered HCI considerations in the design of these systems. This paper describes a field study investigating how clinicians make a heart pump implant decision with a focus on how to best integrate an intelligent DST into their work process. Our findings reveal a lack of perceived need for and trust of machine intelligence, as well as many barriers to computer use at the point of clinical decision-making. These findings suggest an alternative perspective to the traditional use models, in which clinicians engage with DSTs at the point of making a decision. We identify situations across patients' healthcare trajectories when decision supports would help, and we discuss new forms it might take in these situations.
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What OpenQuestion holds
Registered trials
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.