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Identifying barriers and facilitators to successful implementation of computerized clinical decision support systems in hospitals: a NASSS framework-informed sco** …
Background Successful implementation and utilization of Computerized Clinical Decision
Support Systems (CDSS) in hospitals is complex and challenging. Implementation science …
Support Systems (CDSS) in hospitals is complex and challenging. Implementation science …
Methodological standards for the development and evaluation of clinical prediction rules: a review of the literature
LE Cowley, DM Farewell, S Maguire… - Diagnostic and prognostic …, 2019 - Springer
Clinical prediction rules (CPRs) that predict the absolute risk of a clinical condition or future
outcome for individual patients are abundant in the medical literature; however, systematic …
outcome for individual patients are abundant in the medical literature; however, systematic …
Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications
The current study investigates the robustness of deep learning models for accurate medical
diagnosis systems with a specific focus on their ability to maintain performance in the …
diagnosis systems with a specific focus on their ability to maintain performance in the …
Increasing safe outpatient management of emergency department patients with pulmonary embolism: a controlled pragmatic trial
Background: Many low-risk patients with acute pulmonary embolism (PE) in the emergency
department (ED) are eligible for outpatient care but are hospitalized nonetheless. One …
department (ED) are eligible for outpatient care but are hospitalized nonetheless. One …
Use of traumatic brain injury prediction rules with clinical decision support
PS Dayan, DW Ballard, E Tham, JM Hoffman… - …, 2017 - publications.aap.org
OBJECTIVES: We determined whether implementing the Pediatric Emergency Care Applied
Research Network (PECARN) traumatic brain injury (TBI) prediction rules and providing …
Research Network (PECARN) traumatic brain injury (TBI) prediction rules and providing …
Quality improvement effort to reduce cranial CTs for children with minor blunt head trauma
OBJECTIVE: Blunt head trauma is a common injury in children, although it rarely requires
surgical intervention. Cranial computed tomography (CT) is the reference standard for the …
surgical intervention. Cranial computed tomography (CT) is the reference standard for the …
Reducing head CT use for children with head injuries in a community emergency department
RM Jennings, JJ Burtner, JF Pellicer, DK Nair… - …, 2017 - publications.aap.org
METHODS: We evaluated a quality improvement (QI) project in a community ED aimed at
decreasing the use of head CT scans in children by implementing a validated head trauma …
decreasing the use of head CT scans in children by implementing a validated head trauma …
Develo** a framework for evidence-based grading and assessment of predictive tools for clinical decision support
Background Clinical predictive tools quantify contributions of relevant patient characteristics
to derive likelihood of diseases or predict clinical outcomes. When selecting predictive tools …
to derive likelihood of diseases or predict clinical outcomes. When selecting predictive tools …
Evidential reasoning rule-based decision support system for predicting ICU admission and in-hospital death of trauma
We propose to employ evidential reasoning (ER) rule to construct a clinical decision support
system (CDSS) to aid physicians to predict the probability of intensive care unit (ICU) …
system (CDSS) to aid physicians to predict the probability of intensive care unit (ICU) …
[HTML][HTML] Cognitive informatics in biomedicine and healthcare
Cognitive Informatics (CI) is a burgeoning interdisciplinary domain comprising of the
cognitive and information sciences that focuses on human information processing …
cognitive and information sciences that focuses on human information processing …