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Branch, Fallon; Williams, K. Matthew; Santana, Isabella Noel; Hegdé, Jay – Cognitive Research: Principles and Implications, 2022
Many studies have shown that using a computer-aided detection (CAD) system does not significantly improve diagnostic accuracy in radiology, possibly because radiologists fail to interpret the CAD results properly. We tested this possibility using screening mammography as an illustrative example. We carried out two experiments, one using 28…
Descriptors: Radiology, Allied Health Personnel, Assistive Technology, Clinical Diagnosis
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Nett, Nadine; Bröder, Arndt; Frings, Christian – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
According to distractor-based response retrieval (Frings, Rothermund, & Wentura, 2007), irrelevant information will be integrated with the response to the relevant stimuli and further, the immediate repetition of irrelevant information can retrieve the previously executed response thereby influencing responding to the current target (leading…
Descriptors: Decision Making, Experimental Psychology, Responses, Hypothesis Testing
Kunisch, Joseph Martin – ProQuest LLC, 2012
Background: The Emergency Severity Index (ESI) is an emergency department (ED) triage classification system based on estimated patient-specific resource utilization. Rules for a computerized clinical decision support (CDS) system based on a patient's chief complaint were developed and tested using a stochastic model for predicting ESI scores.…
Descriptors: Hospitals, Pediatrics, Clinical Diagnosis, Decision Making
Zhu, Shizhuo – ProQuest LLC, 2010
Clinical decision-making is challenging mainly because of two factors: (1) patient conditions are often complicated with partial and changing information; (2) people have cognitive biases in their decision-making and information-seeking. Consequentially, misdiagnoses and ineffective use of resources may happen. To better support clinical…
Descriptors: Medical Evaluation, Clinical Diagnosis, Decision Making, Bayesian Statistics
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Simonoff, Emily – Journal of Autism and Developmental Disorders, 1998
Provides a protocol for counseling families with an autistic member concerning the risk of having an autistic child. Reports data regarding empirical recurrence risks and identifies the key elements that influence recurrence risks for individual couples. Counseling expertise in both diagnosis and treatment of autism and in the genetics of complex…
Descriptors: Autism, Clinical Diagnosis, Counseling, Decision Making
Rippey, Robert M.; Voytovich, Anthony E. – Journal of Computer-Based Instruction, 1983
Describes a computer-based method of confidence-testing, available in batch processing and interactive form, which improves a student's ability to assess probabilities during clinical diagnosis. The methods and results of three experiments are presented. (EAO)
Descriptors: Clinical Diagnosis, Computer Assisted Testing, Confidence Testing, Decision Making
Mann, Doug – 1993
Studies in psychology and clinical decision making have shown that research subjects and physicians are often overconfident in the accuracy of their judgments. In these studies, groups of 20 first-year and 27 third-year osteopathic medical students at the Ohio University College of Osteopathic Medicine (Athens) were slightly underconfident in…
Descriptors: Classification, Clinical Diagnosis, Comparative Analysis, Confidence Testing
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Bergman, David A.; Pantell, Robert H. – Journal of Medical Education, 1986
A study of the effect of reading a recent clinical study on pediatricians', pediatric residents', and family practitioners' decisions concerning treatment of a common, potentially serious problem revealed a considerable influence but physician difficulty in using probability data and reliance on intuition rather than calculation. (MSE)
Descriptors: Clinical Diagnosis, Comparative Analysis, Decision Making, Family Practice (Medicine)
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Fung, Kelvin; And Others – Journal of Dental Education, 1995
Development of an inexpensive but powerful computer program to teach clinical periodontal diagnosis using epidemiological principles is described. Using probabilistic thinking, the student is guided from application of raw research data to derivation of likelihood ratios and how they affect clinical decision making. Student response was found to…
Descriptors: Clinical Diagnosis, Computer Software Development, Courseware, Critical Thinking