Objective: We present a novel, knowledge-driven approach to prescription of pointing devices that uses the Ontology-Supported Computerized Assistive Technology Recommender (OSCAR), a clinical decision support system (CDSS).
Method: Fifty-five occupational therapists were divided into four groups: two assistive technology (AT) expert groups and two novice groups. Novice Group 1 used the OSCAR CDSS for the prescription process, and Novice Group 2 used the conventional method. OSCAR's effectiveness and its impact on users were evaluated.
Results: The ability of Novice Group 1 to make suitable pointing device prescriptions was similar to that of the two expert groups and was significantly better than that of Novice Group 2. The system positively affected Novice Group 1's learning of the prescription process.
Conclusion: The structure and organized framework for clinical reasoning of the OSCAR CDSS appear to enable occupational therapy practitioners inexperienced in AT to achieve performance levels comparable to those of experts.
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http://dx.doi.org/10.5014/ajot.2015.014811 | DOI Listing |
ERJ Open Res
January 2025
Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark.
Rationale: Flexible bronchoscopy is an operator-dependent procedure. An automatic bronchial identification system based on artificial intelligence (AI) could help bronchoscopists to perform more complete and structured procedures through automatic guidance.
Methods: 101 participants were included from six different continents at the European Respiratory Society annual conference in Milan, 9-13 September 2023.
BMC Med Educ
January 2025
Department of Nursing, Chang Gung University of Science and Technology, Tao-Yuan City, Taiwan.
Background: Empathy and communication are critical abilities for nursing students, and in recent years, scenario-based teaching has played a crucial role in fostering empathy and professional skill development. However, novice nursing students in basic nursing education often lack prior experience in patient communication, making it challenging for them to prepare adequately for scenarios and effectively handle difficulties in real-life situations. This deficiency also hampers participants' or observers' ability to engage in deep reflection, feedback, and learning.
View Article and Find Full Text PDFSurg Endosc
January 2025
Department of Gastroenterology, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
Background: Endoscopic diagnosis of early gastric cancer (EGC) is a challenge. It is not clear whether deep convolutional neural network (DCNN) model could improve the endoscopists' diagnostic performance.
Methods: We established a DCNN-assisted system and found that accuracy of diagnosis is higher than endoscopists.
Surgery
January 2025
Department of Gastroenterological Surgery II, Hokkaido University Faculty of Medicine, Sapporo, Japan.
Background: Telesimulation has been shown to be effective for teaching simple surgical techniques; however, its usefulness for teaching advanced skills remains unclear. The aim of this randomized controlled trial was to investigate the impact of a telesimulation program on training for laparoscopic inguinal hernia repair.
Methods: Novice trainees were randomly assigned to the intervention group or control group using a permuted block design.
Fed Pract
November 2024
Veterans Affairs Ann Arbor Healthcare System, Michigan.
Background: The US Department of Veterans Affairs (VA) is committed to conducting research that improves the health and quality of life of veterans. Mentorship is vital for developing and advancing a novice VA investigator's research agenda; however, there are several barriers to effective research mentorship.
Observations: The VA Clinical Research Mentorship Program was developed to assist clinician investigators with writing and submitting competitive grant applications.
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