A Practice-based Taxonomy for Radiation Treatment Errors

Lam, Catarina; Medlam, Gaylene; Wighton, A.J.; Breen, Stephen; Bissonnette, Jean‐Pierre; McGowan, Tom; Carlone, Marco; Milosevic, Michael

doi:10.1016/j.jmir.2013.08.001

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…Medical students, often required to navigate a spectrum of subjects, can rely on ChatGPT to provide succinct yet comprehensive explanations that span from anatomy to pharmacology to clinical practice. This capacity to consolidate information into concise responses aligns with the modern demand for efficient and effective learning tools( 7 , 8 ).…”

Section: Resultsmentioning

confidence: 98%

“…The AI model’s adaptive responses mimic the unpredictability and variability that characterize clinical consultations. This adaptability enhances students’ ability to think on their feet, cultivate empathy, and grasp the nuances of patient communication( 7 ,23,33). As students engage in these interactions, they develop the critical communication skills that underpin effective patient care, fostering a well-rounded approach to clinical problem-solving( 3 ).…”

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: 98%

Section: Resultsmentioning

confidence: 99%

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

Department,

Ireland

2023

Acta Inform Med

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“…That is the reason why modern radiation therapy has undergone numerous changes related to QA and risk management. Development of incident reporting systems should also evolve with changing needs of modern radiation therapy practice ( 7 ).…”

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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“…Radiation therapy incidents were classified according to a locally developed taxonomy, based in part on the approach used by Arnold et al 13 and Lam et al 20 The taxonomy consisted of 12 incident categories, each with a varying number of more specific subcategories (for details, see Supplementary Table 1). All investigations and coding activities were completed in AIMS.…”

Section: Local Taxonomy Classification Systemmentioning

confidence: 99%

Application of an incident taxonomy for radiation therapy: Analysis of five years of data from three integrated cancer centres

Greenham

Manley

Turnbull

et al. 2018

Reports of Practical Oncology & Radiotherapy

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The application of a taxonomy developed for radiation therapy enhances incident investigation and facilitates strategic interventions. The practice appears to be effective in our institution and contributes to the safety culture. The ratio of near miss to actual incidents could serve as a possible measure of incident reporting culture and could be incorporated into large scale incident reporting systems.

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A Practice-based Taxonomy for Radiation Treatment Errors

Cited by 8 publications

References 15 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

Application of an incident taxonomy for radiation therapy: Analysis of five years of data from three integrated cancer centres

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