ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2017
Supporting Families in Reviewing and Communicating about Radiology Imaging Studies.
Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed.
- Perspectives on access to imaging digital health records in oncology: A mixed methods systematic review.Health policy and technology · 2024Review
- It's About the Journey - Capturing Stories of the Fluctuating Experiences of Youth Kidney Transplant Patients.Proceedings of the ACM on human-computer interaction · 2024Article
- Patient experience of imaging reports: A systematic literature review.Ultrasound (Leeds, England) · 2023Review
- User-Centered System Design for Communicating Clinical Laboratory Test Results: Design and Evaluation Study.JMIR human factors · 2021Article
- Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems.Journal of medical systems · 2021Article
- Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study.Journal of medical Internet research · 2021Article
- Children's Designs for the Future of Telehealth.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Patient Challenges and Needs in Comprehending Laboratory Test Results: Mixed Methods Study.Journal of medical Internet research · 2020Article
- Harnessing mobile health technology to support long-term chronic illness management: exploring family caregiver support needs in the outpatient setting.JAMIA open · 2020Article
- Enhancing clinician and patient understanding of radiology reports: a scoping review of international guidelines.Insights into imaging · 2020Article
- Retrieving Lab Test Related Questions from Social Q&A Sites by Combining Shallow Features and Deep Representations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Understanding Patient Information Needs About Their Clinical Laboratory Results: A Study of Social Q&A Site.Studies in health technology and informatics · 2019Article
- Supporting Collaborative Health Tracking in the Hospital: Patients' Perspectives.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Diagnostic radiology reports are increasingly being made available to patients and their family members. However, these reports are not typically comprehensible to lay recipients, impeding effective communication about report findings. In this paper, we present three studies informing the design of a prototype to foster patient-clinician communication about radiology report content. First, analysis of questions posted in online health forums helped us identify patients' information needs. Findings from an elicitation study with seven radiologists provided necessary domain knowledge to guide prototype design. Finally, a clinical field study with 14 pediatric patients, their parents and clinicians, revealed positive responses of each stakeholder when using the prototype to interact with and discuss the patient's current CT or MRI report and allowed us to distill three use cases: co-located communication, preparing for the consultation, and reviewing radiology data. We draw on our findings to discuss design considerations for supporting each of these use cases.
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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.