ArticleJMIR research protocols2019
Improving Team-Based Decision Making Using Data Analytics and Informatics: Protocol for a Collaborative Decision Support Design.
Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Post-Quantum Cryptography Resilience in Telehealth Using Quantum Key Distribution.Blockchain in healthcare today · 2025Article
- Integrating FRAM and BN for enhanced resilience evaluation in construction emergency response: A scaffold collapse case study.Heliyon · 2024Article
- Managing Interruptions to Improve Diagnostic Decision-Making: Strategies and Recommended Research Agenda.Journal of general internal medicine · 2023Article
- Article
- Scoping review: the empowerment of Alzheimer's Disease caregivers with mHealth applications.NPJ digital medicine · 2021Article
- Monitoring Diagnostic Safety Risks in Emergency Departments: Protocol for a Machine Learning Study.JMIR research protocols · 2021Article
- Team Science in Precision Medicine: Study of Coleadership and Coauthorship Across Health Organizations.Journal of medical Internet research · 2021Article
- Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy.The pharmacogenomics journal · 2021Review
- Artificial Intelligence-Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors Design Study.JMIR research protocols · 2020Article
- Improving Medication Information Presentation Through Interactive Visualization in Mobile Apps: Human Factors Design.JMIR mHealth and uHealth · 2019Article
- Examining the Role of Stress and Team Support in Decision Making under Uncertainty and Time Pressure.MDM policy & practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccording to the September 2015 Institute of Medicine report, Improving Diagnosis in Health Care, each of us is likely to experience one diagnostic error in our lifetime, often with devastating consequences. Traditionally, diagnostic decision making has been the sole responsibility of an individual clinician. However, diagnosis involves an interaction among interprofessional team members with different training, skills, cultures, knowledge, and backgrounds. Moreover, diagnostic error is prevalent in the interruption-prone environment, such as the emergency department, where the loss of information may hinder a correct diagnosis.
objectiveThe overall purpose of this protocol is to improve team-based diagnostic decision making by focusing on data analytics and informatics tools that improve collective information management.
methodsTo achieve this goal, we will identify the factors contributing to failures in team-based diagnostic decision making (aim 1), understand the barriers of using current health information technology tools for team collaboration (aim 2), and develop and evaluate a collaborative decision-making prototype that can improve team-based diagnostic decision making (aim 3).
resultsBetween 2019 to 2020, we are collecting data for this study. The results are anticipated to be published between 2020 and 2021.
conclusionsThe results from this study can shed light on improving diagnostic decision making by incorporating diagnostics rationale from team members. We believe a positive direction to move forward in solving diagnostic errors is by incorporating all team members, and using informatics. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/16047.
Indexed as
Identifiers
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.