ArticleProceedings. IEEE International Conference on Healthcare Informatics2016
Big-Data Based Decision-Support Systems to Improve Clinicians' Cognition.
Article in Proceedings. IEEE International Conference on Healthcare Informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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
9 citing papers in PubMed.
- Applying cognitive task analysis to health services research.Health services research · 2023Article
- Are Different Versions of ChatGPT's Ability Comparable to the Clinical Diagnosis Presented in Case Reports? A Descriptive Study.Journal of multidisciplinary healthcare · 2023Article
- Artificial Intelligent Context-Aware Machine-Learning Tool to Detect Adverse Drug Events from Social Media Platforms.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2022Article
- Article
- Scoping review: the empowerment of Alzheimer's Disease caregivers with mHealth applications.NPJ digital medicine · 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 Team-Based Decision Making Using Data Analytics and Informatics: Protocol for a Collaborative Decision Support Design.JMIR research protocols · 2019Article
- Improving Medication Information Presentation Through Interactive Visualization in Mobile Apps: Human Factors Design.JMIR mHealth and uHealth · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Complex clinical decision-making could be facilitated by using population health data to inform clinicians. In two previous studies, we interviewed 16 infectious disease experts to understand complex clinical reasoning. For this study, we focused on answers from the experts on how clinical reasoning can be supported by population-based Big-Data. We found cognitive strategies such as trajectory tracking, perspective taking, and metacognition has the potential to improve clinicians' cognition to deal with complex problems. These cognitive strategies could be supported by population health data, and all have important implications for the design of Big-Data based decision-support tools that could be embedded in electronic health records. Our findings provide directions for task allocation and design of decision-support applications for health care industry development of Big data based decision-support systems.
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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.