التفاصيل البيبلوغرافية
| العنوان: |
Prioritizing educational initiatives on emerging technologies for Italian pediatricians: bibliometric review and a survey. |
| المؤلفون: |
Tozzi, Alberto Eugenio, Gesualdo, Francesco, Pandolfi, Elisabetta, Ferro, Diana, Cinelli, Giulia, Bozzola, Elena, Aversa, Tommaso, Di Mauro, Antonio, Mameli, Chiara, Croci, Ileana |
| المصدر: |
Italian Journal of Pediatrics; 9/4/2023, Vol. 49 Issue 1, p1-9, 9p |
| مصطلحات موضوعية: |
BIBLIOMETRICS, VIRTUAL reality, NATURAL language processing, MULTIPLE regression analysis, SMARTPHONES, ARTIFICIAL intelligence, ROBOTICS, GENOMICS, DESCRIPTIVE statistics, QUESTIONNAIRES, RESEARCH funding, TECHNOLOGY, INFORMATION needs, SOCIODEMOGRAPHIC factors, MEDICAL education, TELEMEDICINE |
| مصطلحات جغرافية: |
ITALY |
| مستخلص: |
Background: Emerging technologies have demonstrated outstanding potential in improving healthcare, yet their full integration remains a challenge for all medical specialties, including pediatrics. To support the swift implementation of technologies, we identified the current trends through a bibliometric review, and we conducted a survey on Italian pediatricians to gauge educational needs and willingness to integrate technologies into clinical practice. Methods: A working group of pediatricians representing various backgrounds designed and coordinated the study. To identify relevant topics for educational strategy development, we focused on virtual reality, telehealth, natural language processing, smartphone applications, robotics, genomics, and artificial intelligence. A bibliometric analysis limited to 2018–2023 was performed to identify trends and emerging applications within each topic. Based on the results, a questionnaire was developed and made available online to all Italian pediatricians. The results were analyzed through descriptive analysis and a multivariable logistic regression to explore associations between technology adoption and sociodemographic characteristics. Results: A total of 3,253 publications were found, with Telehealth and Telemedicine having the highest number of publications and Natural Language Processing the lowest. The number of respondents to the online questionnaire was 1,540, predominantly medical doctors with over 20 years of experience working as family pediatricians. Telehealth had the highest level of knowledge (95.2%), followed by smartphone applications (89.1%) and genomics (63.2%). The greatest potential for increased use through education programs was projected for natural language processing (+ 43.1%), artificial intelligence (+ 39.6%), and virtual and mixed reality (+ 38.1%). Female respondents and older individuals were less likely to use emerging technologies. Hospital pediatricians and residents were more likely to use AI. Conclusions: We developed a replicable strategy to identify emerging themes in medical technologies relevant to pediatrics and assess the educational needs of pediatricians. A significant gap still exists between current and potential usage of emerging technologies among Italian pediatricians although they showed a positive attitude towards implementing these technologies following specific education programs. The study highlights the need for comprehensive education programs on emerging technologies in pediatrics and recommends addressing gender and age disparities in technology adoption. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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