The landscape of digital resources in radiation oncology

The continuous improvement of digital assistance in the radiation oncologist's work: from web-based nomograms to the adoption of large-language models (LLMs). A systematic review by the young group of the Italian association of radiotherapy and clinical oncology (AIRO)

PURPOSE

Recently, the availability of online medical resources for radiation oncologists and trainees has significantly expanded, alongside the development of numerous artificial intelligence (AI)-based tools. This review evaluates the impact of web-based clinical decision-making tools in the clinical practice of radiation oncology.

MATERIAL AND METHODS

We searched databases, including PubMed, EMBASE, and Scopus, using keywords related to web-based clinical decision-making tools and radiation oncology, adhering to PRISMA guidelines.

RESULTS

Out of 2161 identified manuscripts, 70 were ultimately included in our study. These papers all supported the evidence that web-based tools can be transversally integrated into multiple radiation oncology fields, with online applications available for dose and clinical calculations, staging and other multipurpose intents. Specifically, the possible benefit of web-based nomograms for educational purposes was investigated in 35 of the evaluated manuscripts. As regards to the applications of digital and AI-based tools to treatment planning, diagnosis, treatment strategy selection and follow-up adoption, a total of 35 articles were selected. More specifically, 19 articles investigated the role of these tools in heterogeneous cancer types, while nine and seven articles were related to breast and head & neck cancers, respectively.

CONCLUSIONS

Our analysis suggests that employing web-based and AI tools offers promising potential to enhance the personalization of cancer treatment.

Global Workforce and Access: Demand, Education, Quality

There has long existed a substantial disparity in access to radiotherapy globally. This issue has only been exacerbated as the growing disparity of cancer incidence between high-income countries (HIC) and low and middle-income countries (LMICs) widens, with a pronounced increase in cancer cases in LMICs. Even within HICs, iniquities within local communities may lead to a lack of access to care. Due to these trends, it is imperative to find solutions to narrow global disparities. This requires the engagement of a diverse cohort of stakeholders, including working professionals, non-governmental organizations, nonprofits, professional societies, academic and training institutions, and industry. This review brings together a diverse group of experts to highlight critical areas that could help reduce the current global disparities in radiation oncology. Advancements in technology and treatment, such as artificial intelligence, brachytherapy, hypofractionation, and digital networks, in combination with implementation science and novel funding mechanisms, offer means for increasing access to care and education globally. Common themes across sections reveal how utilizing these new innovations and strengthening collaborative efforts among stakeholders can help improve access to care globally while setting the framework for the next generation of innovations.

Survey in radiation oncology departments in Germany, Austria, and Switzerland: state of digitalization by 2023

PURPOSE

The aim of this work was to assess the current state of digitalization in radiation oncology departments in Germany, Austria, and Switzerland.

METHODS

A comprehensive survey was conducted in a digital format, consisting of 53 questions that covered various aspects of digitalization including patient workflow, departmental organization, radiotherapy planning, and employee-related aspects.

RESULTS

Overall, 120 forms were eligible for evaluation. Participants were mainly physicians or medical physicists responsible for digitalization aspects in their departments. Nearly 70% of the institutions used electronic patient records, with 50% being completely paperless. However, the use of smartphone apps for electronic patient reported outcomes (ePROMs) and digital health applications (DIGA) was limited (9% and 4.9%, respectively). In total, 70.8% of the radio-oncology departments had interfaces with diagnostic departments, and 36% had digital interchanges with other clinics. Communication with external partners was realized mainly through fax (72%), e‑mails (55%), postal letters (63%), or other digital exchange formats (28%). Almost half of the institutions (49%) had dedicated IT staff for their operations.

CONCLUSION

To the best of our knowledge, this survey is the first of its kind conducted in German-speaking radiation oncology departments within the medical field. The findings suggest that there is a varied level of digitalization implementation within these departments, with certain areas exhibiting lower rates of digitalization that could benefit from targeted improvement initiatives.

Successful implementation of online educational lectures of the German Society for Radiation Oncology (DEGRO)

PURPOSE

Modern digital teaching formats have become increasingly important in recent years, in part due to the COVID-19 pandemic. In January 2021, an online-based webinar series was established by the German Society for Radiation Oncology (DEGRO) and the young DEGRO (yDEGRO) working group. In the monthly 120-minute courses, selected lecturers teach curricular content as preparation for the board certification exam for radiation oncology.

METHODS

The evaluation of the 24 courses between 01.2021 and 12.2022 was performed using a standardized questionnaire with 21 items (recording epidemiological characteristics of the participants, didactic quality, content quality). A Likert scale (1-4) was used in combination with binary and open-ended questions.

RESULTS

A combined total of 4200 individuals (1952 in 2021 and 2248 in 2022) registered for the courses, and out of those, 934 participants (455 in 2021 and 479 in 2022) later provided evaluations for the respective courses (36% residents, 35% specialists, 21% medical technicians for radiology [MTR], 8% medical physics experts [MPE]). After 2 years, 74% of the DEGRO Academy curriculum topics were covered by the monthly webinars. The overall rating by participants was positive (mean 2021: 1.33 and 2022: 1.25) and exceeded the curriculum offered at each site for 70% of participants. Case-based learning was identified as a particularly well-rated method.

CONCLUSION

The DEGRO webinar expands the digital teaching opportunities in radiation oncology. The consistently high number of participants confirms the need for high-quality teaching and underlines the advantages of e‑learning methods. Optimization opportunities were identified through reevaluation of feedback from course participants. In its design as a teaching format for a multiprofessional audience, the webinar series could be used as a practice model of online teaching for other disciplines.

Performance Analysis of a Radiation Oncology Educational Podcast

PURPOSE

Asynchronous podcast education is a popular supplementary tool, with up to 88% of medical residents reporting its use. Radiation oncology podcasts remain scarce. The authors analyzed the early performance, listenership, and engagement of the first education-specific radiation oncology medical podcast.

METHODS

Episode data and listener demographics were gathered from Spotify and Apple Podcasts. Episodes were case based, categorized by disease subsite, and reviewed by a board-certified radiation oncologist. Listenership was defined by the number of plays per day (ppd) on unique devices, averaged up to 60 days from publication. Episode engagement was defined as a percentage of plays on unique devices playing >40% of an episode within a single session. Quantitative end points included episode engagement and listenership. Pearson's correlation coefficient calculations were used for analysis.

RESULTS

From July 2022 to March 2023, 20 total episodes had 13,078 total plays over 227 days. The median episode length was 13.8 min (range, 9.2-20.1 min). Listener demographics were as follows: 54.4% men, 44.0% women, 1.3% not specified, and 0.3% nonbinary, with ages 18 to 22 (1%), 23 to 27 (13%), 28 to 34 (58%), 35 to 44 (22%), 45 to 59 (4%), and ≥60 (2%) years. Episodes were played in 53 countries, with the most plays in North America (71.5%), followed by Asia (10.2%), Europe (8.2%), Oceania (8.0%), Africa (1.5%), and South America (0.5%). There was a 585.2% increase in listenership since initiation, with median growth of 46.0% per month. Median listenership and engagement were 11.3 ppd (interquartile range, 10.3-13.8 ppd) and 81.4% (interquartile range, 72.0%-84.2%) for all episodes, respectively. A significant negative relationship between episode length and engagement was observed (r[20] = -0.51, P = .02). There was no statistically significant relationship between ppd and episode length (r[20] = -0.19, P = .42).

CONCLUSIONS

The significant rise in listenership, high episode engagement, and large international audience support a previously unmet need in radiation oncology medical education that may be supplemented by podcasts.