Quantitative Analysis of Uncertainty in Medical Reporting: Part 3: Customizable Education, Decision Support, and Automated Alerts.
Publication/Presentation Date
10-1-2018
Abstract
In order to better elucidate and understand the causative factors and clinical implications of uncertainty in medical reporting, one must first create a referenceable database which records a number of standardized metrics related to uncertainty language, clinical context, technology, and provider and patient data. The resulting analytics can in turn be used to create context and user-specific reporting guidelines, real-time decision support, educational resources, and quality assurance measures. If this technology can be directly integrated into reporting technology and workflow, the goal is to proactively improve clinical outcomes at the point of care.
Volume
31
Issue
5
First Page
579
Last Page
584
ISSN
1618-727X
Published In/Presented At
Reiner B. I. (2018). Quantitative Analysis of Uncertainty in Medical Reporting: Part 3: Customizable Education, Decision Support, and Automated Alerts. Journal of digital imaging, 31(5), 579–584. https://doi.org/10.1007/s10278-017-0042-y
Disciplines
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
PubMedID
29255937
Department(s)
Department of Radiology and Diagnostic Medical Imaging
Document Type
Article