ArticleApplied clinical informatics2019
Decision-Centered Design of Patient Information Visualizations to Support Chronic Pain Care.
Article in Applied clinical informatics, 2019. 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Learning from Misses: Evaluating a Clinical Decision Support for Chronic Pain Management in Primary Care.Applied clinical informatics · 2025Trial
- Professional-Facing Digital Health Technology for the Care of Patients With Chronic Pain: Scoping Review.Journal of medical Internet research · 2025Article
- Barriers, facilitators, and recommendations to increase the use of a clinical decision support tool for managing chronic pain in primary care.International journal of medical informatics · 2024Article
- Examining primary care provider experiences with using a clinical decision support tool for pain management.JAMIA open · 2023Article
- A Tool to Identify and Engage Patients on Risky Opioid Regimens.Applied clinical informatics · 2023Article
- Electronic Health Records' Support for Primary Care Physicians' Situation Awareness: A Metanarrative Review.Human factors · 2023Review
- Assessing the use of a clinical decision support tool for pain management in primary care.JAMIA open · 2022Article
- Study protocol for a type III hybrid effectiveness-implementation trial to evaluate scaling interoperable clinical decision support for patient-centered chronic pain management in primary care.Implementation science : IS · 2022Article
- Evaluating a Prototype Clinical Decision Support Tool for Chronic Pain Treatment in Primary Care.Applied clinical informatics · 2022Article
- Clinician Acceptance of Order Sets for Pain Management: A Survey in Two Urban Hospitals.Applied clinical informatics · 2022Article
- Decision-centered design of a clinical decision support system for acute management of pediatric congenital heart disease.Frontiers in digital health · 2022Article
- Empowering Caseworkers to Better Serve the Most Vulnerable with a Cloud-Based Care Management Solution.Applied clinical informatics · 2020Article
- How opioid prescribing policies influence primary care clinicians' treatment decisions and conversations with patients with chronic pain.Journal of opioid managementArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundFor complex patients with chronic conditions, electronic health records (EHRs) contain large amounts of relevant historical patient data. To use this information effectively, clinicians may benefit from visual information displays that organize and help them make sense of information on past and current treatments, outcomes, and new treatment options. Unfortunately, few clinical decision support tools are designed to support clinical sensemaking.
objectiveThe objective of this study was to describe a decision-centered design process, and resultant interactive patient information displays, to support key clinical decision requirements in chronic noncancer pain care.
methodsTo identify key clinical decision requirements, we conducted critical decision method interviews with 10 adult primary care clinicians. Next, to identify key information needs and decision support design seeds, we conducted a half-day multidisciplinary design workshop. Finally, we designed an interactive prototype to support the key clinical decision requirements and information needs uncovered during the previous research activities.
resultsThe resulting Chronic Pain Treatment Tracker prototype summarizes the current treatment plan, past treatment history, potential future treatments, and treatment options to be cautious about. Clinicians can access additional details about each treatment, current or past, through modal views. Additional decision support for potential future treatments and treatments to be cautious about is also provided through modal views.
conclusionThis study designed the Chronic Pain Treatment Tracker, a novel approach to decision support that presents clinicians with the information they need in a structure that promotes quick uptake, understanding, and action.
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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.