"Improving Radiation Oncology Safety in Spain with Risk Matrices: a Review: The MARR Project"

Albiach, C. Ferrer

doi:10.26717/bjstr.2022.44.007074

Cited by 2 publications

(4 citation statements)

References 4 publications

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“…For instance, a student grappling with complex anatomical concepts might receive explanations that emphasize visual aids, interactive diagrams, or step-by-step breakdowns. Conversely, a more experienced student seeking advanced medical discussions could be provided with in-depth analyses, research papers, and case studies( 18 ). Through this content adaptation, ChatGPT ensures that each student receives information that is at their level of comprehension, preventing frustration from overly complex material or boredom from oversimplified content( 19 ).…”

Section: Resultsmentioning

confidence: 99%

“…ChatGPT’s AI capabilities position it as a dynamic platform to recreate lifelike patient interactions. By inputting a hypothetical patient case, students can engage in simulated conversations with ChatGPT, emulating the dialogue that transpires in actual clinical encounters( 8 , 18 ,27). This simulation transcends the passive consumption of information and immerses students in the intricacies of patient-provider communication, enabling them to respond to queries, convey diagnoses, and discuss treatment options.…”

Section: Resultsmentioning

confidence: 99%

“…Diagnostic and treatment approaches in medicine hinge on evidence-based decision-making. ChatGPT’s integration enables students to engage in discussions with an AI model that draws on a vast repository of medical literature, clinical guidelines, and research findings( 8 , 11 , 16 , 18 ,24). As students pose queries about treatment options or diagnostic criteria, ChatGPT responds with evidence-based recommendations, enabling students to witness the synthesis of medical knowledge into actionable insights.…”

Section: Resultsmentioning

confidence: 99%

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Utilization of ChatGPT in Medical Education: Applications and Implications for Curriculum Enhancement

Department,

Ireland

2023

Acta Inform Med

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Background: The integration of artificial intelligence (AI) into medical education has sparked a paradigm shift in pedagogical approaches, reshaping the way medical knowledge is accessed, processed, and applied. Medical education is a dynamic field that demands continuous adaptation to the evolving healthcare landscape. ChatGPT, an advanced AI language model, with its natural language understanding and generation capabilities, offers a multifaceted toolset that enhances various aspects of medical education. Objective: The objective of this paper is to explore how ChatGPT, an advanced AI language model, is transforming medical education by serving as a dynamic information resource and driving curriculum reform. It aims to highlight the multifaceted uses of ChatGPT and its potential to reshape the pedagogical landscape in medical education.Methods: PubMed, Scopus, Web of Science, ERIC, and Google Scholar databases were searched to assess the literature that met the study objectives from 2019 to August 2023 with explicit inclusion and exclusion criteria. Results: The results demonstrate that ChatGPT’s applications in medical education are diverse and encompass real-time curriculum adaptation, personalized learning, and collaborative learning. Its capacity to provide immediate and contextually relevant information has the potential to enhance the quality of medical education significantly. Conclusion: ChatGPT’s integration into medical education represents a transformative shift in educational approaches. It offers a wide range of capabilities, from serving as a repository of medical knowledge to facilitating collaborative learning. As medical education continues to evolve, ChatGPT emerges as a powerful tool that can reshape pedagogy and drive meaningful curriculum reform to meet the needs of modern healthcare practice.ChatGPT emerges as a transformative tool that holds the potential to reshape the landscape of medical pedagogy and drive meaningful curriculum reform.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Utilization of ChatGPT in Medical Education: Applications and Implications for Curriculum Enhancement

Department,

Ireland

2023

Acta Inform Med

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“…Results of IRS implementation projects show that Risk Matrix method, together with functional software solution, is powerful tool in risk assessment, incident prevention and improvement of radiation therapy safety. A solution that integrates modern approach in risk matrix application with previous user experience and give users possibility to use according to their professional needs can significantly improve radiation therapy safety ( 18 , 19 ).…”

Section: Discussionmentioning

confidence: 99%

Electronic On-line Incident Reporting System (IRS) as a Tool for Risk Assessment in Radiation Therapy

Topcagic,

Julardzija,

Pasalic

et al. 2023

Acta Inform Med

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Background: Radiotherapy is one of the primary treatment options in cancer management, together with surgery and chemotherapy. Radiation therapy is technologically complex discipline involving professionals with various specialties, and using high energy radiation in treatment of wide range of different cancer types. Technical complexity, increasing number of patients, large workload, and delivery of radiation therapy treatment with lack of human, technical and financial resources in low and middle income countries creates environment with great potential to develop incidents. Emerging need of modern radiation therapy is to develop preventive approach to risk management i to improve the patient safety. Objective: The objective of this research is to identify and assess risk associated with radiation therapy practice in Bosnia and Herzegovina. Methods: An anonymous, voluntary electronic on-line radiation therapy incident reporting system (IRS) was created. IRS consists of four sections containing questions about working environment, incident occurrence, root causes and contributing factors, and incident severity assessment. Data collected using IRS were used to create taxonomy of incidents in radiation therapy. Risk assessment was made using Risk Matrix method. Research was made using the data collected from first 60 incidents reported to IRS. Results: Based on probability and frequency of incident occurrence and severity of consequences, it was assessed that 41.7% of incidents had low risk level (L), 50% of incidents had moderate risk level (M), and 8.3% of incidents had high risk level (H). Radiation therapy risk profile based on risk assessment results clearly shows that incidents with low frequency, low occurrence probability, but high consequences severity level have highest level of risk. Conclusion: The results of this research confirm that the electronic on-line radiation therapy IRS allows the identification and classification of the most significant risk factors in radiotherapy and prevention of serious incidents occurrence.

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"Improving Radiation Oncology Safety in Spain with Risk Matrices: a Review: The MARR Project"

Cited by 2 publications

References 4 publications

Utilization of ChatGPT in Medical Education: Applications and Implications for Curriculum Enhancement

Utilization of ChatGPT in Medical Education: Applications and Implications for Curriculum Enhancement

Electronic On-line Incident Reporting System (IRS) as a Tool for Risk Assessment in Radiation Therapy

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