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Dynamic Patterns of Expertise: The Case of Orthopedic Medical Diagnosis.

ABSTRACT: The aim of this study was to analyze dynamic patterns for scanning femoroacetabular impingement (FAI) radiographs in orthopedics, in order to better understand the nature of expertise in radiography. Seven orthopedics residents with at least two years of expertise and seven board-certified orthopedists participated in the study. The participants were asked to diagnose 15 anteroposterior (AP) pelvis radiographs of 15 surgical patients, diagnosed with FAI syndrome. Eye tracking data were recorded using the SMI desk-mounted tracker and were analyzed using advanced measures and methodologies, mainly recurrence quantification analysis. The expert orthopedists presented a less predictable pattern of scanning the radiographs although there was no difference between experts and non-experts in the deterministic nature of their scan path. In addition, the experts presented a higher percentage of correct areas of focus and more quickly made their first comparison between symmetric regions of the pelvis. We contribute to the understanding of experts' process of diagnosis by showing that experts are qualitatively different from residents in their scanning patterns. The dynamic pattern of scanning that characterizes the experts was found to have a more complex and less predictable signature, meaning that experts' scanning is simultaneously both structured (i.e. deterministic) and unpredictable.

SUBMITTER: Assaf D

PROVIDER: S-EPMC4945032 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Dynamic Patterns of Expertise: The Case of Orthopedic Medical Diagnosis.

Assaf Dan D Amar Eyal E Marwan Norbert N Neuman Yair Y Salai Moshe M Rath Ehud E

PloS one 20160714 7

The aim of this study was to analyze dynamic patterns for scanning femoroacetabular impingement (FAI) radiographs in orthopedics, in order to better understand the nature of expertise in radiography. Seven orthopedics residents with at least two years of expertise and seven board-certified orthopedists participated in the study. The participants were asked to diagnose 15 anteroposterior (AP) pelvis radiographs of 15 surgical patients, diagnosed with FAI syndrome. Eye tracking data were recorded ...[more]

PMID: 27414794

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Project description:BackgroundNeurological disorders are a common cause of morbidity and mortality in sub-Saharan African, but resources for their management are scarce. Collaborations between training institutions in developed and resource-limited countries can be a successful model for supporting specialty medical education and increasing clinical and research capacity.Case reportThis report describes a US National Institutes of Health (NIH) funded Medical Education Partnership Initiative (MEPI) to enhance expertise in neurology, developed between Makerere University College of Health Sciences in Kampala, Uganda, and Case Western Reserve University School of Medicine in Cleveland, OH, USA. This collaborative model is based on a successful medical education and research model that has been developed over the past two decades. The Ugandan and US teams have accumulated knowledge and 'lessons learned' that facilitate specialty expertise in neurological conditions, which are widespread and associated with substantial disability in resource-limited countries. Strengths of the model include a focus on community health care settings and a strong research component. Key elements include strong local leadership; use of remote technology, templates to standardize performance; shared exchanges; mechanisms to optimize sustainability and of dissemination activities that expand impact of the original initiative. Efficient collaborations are further enhanced by external and institutional support, and can be sequentially refined.ConclusionModels such as the Makerere University College of Health Sciences - Case Western Reserve University partnership may help other groups initiate collaborative education programmes and establish successful partnerships that may provide the opportunity to expand to other chronic diseases. A benefit of collaboration is that learning is two-directional, and interaction with other international medical education collaborators is likely to be of benefit to the larger global health community.

Dataset Information

Dynamic Patterns of Expertise: The Case of Orthopedic Medical Diagnosis.

Publications

Dynamic Patterns of Expertise: The Case of Orthopedic Medical Diagnosis.

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