Feasibility Study for Using Artificial Intelligence Based GPT-3 in Public Health Nursing

Öz

The aim of this study is to create feasibility for the use of GPT-3, an artificial intelligence-based model, in public health nursing. Several GPT-3 models were tried for text generation and summarization in this feasibility study (text-ada-001, text-babbage-001, text-curie-001, text-davinci-003). The "text-davinci-003" model, which is also known as the most capable GPT-3 model provided in a free beta version by OpenAI in January 2023, was used in this study. In this study, text-davinci-003 was evaluated as a natural language generation model that allows users to interact with an artificial intelligence in a simple way. The "maximum length" parameter was changed to 2048 to reflect the capacity and detail required per response in the input query. Responses from GPT-3 were obtained on March 9, 2023. Prior to asking predetermined research questions for GPT-3, the method was analyzed. The relevant features of GPT-3 as a custom model developed by OpenAI were checked. Specifically, the GPT-3 citation used in this research was suggested by GPT-3 upon request. In this feasibility study, questions were asked and answers were provided by GPT-3 according to 6 purposes generated by GPT-3 regarding the contributions of GPT-3 to public health nursing. It can be stated that GPT-3 can contribute to public health nursing research as a team member by bringing together possible text blocks related to public health nursing. Human writers may need to follow scientific literature in addition to artificial intelligence, and a broad scientific discussion on the contributions of artificial intelligence to public health nursing may be necessary.

Anahtar Kelimeler

• ChatGPT
• GPT-3
• OpenAI
• artificial intelligence
• public health nursing

Halk Sağlığı Hemşireliğinde Yapay Zeka Tabanlı GPT-3’ün Kullanılmasına Yönelik Fizibilite Çalışması

Öz

Bu çalışmanın amacı halk sağlığı hemşireliğinde yapay zeka tabanlı GPT-3’ün kullanılmasına yönelik fizibilite oluşturulmasıdır. Bu fizibilite çalışmasında metin oluşturma ve özetleme için GPT-3'ten birkaç model denendi (text-ada-001, text-babbage-001, text-curie-001, text-davinci-003). Araştırmada OpenAI tarafından Ocak 2023'te ücretsiz beta sürümü sağlanan en yetenekli GPT-3 modeli olarak da bilinen "text-davinci-003"kullanıldı. Bu çalışmada, text-davinci-003, kullanıcıların bir yapay zeka ile basit bir şekilde anında etkileşim kurmasını sağlayan bir doğal dil oluşturma modeli olarak değerlendirildi. Girdi sorgusunda, cevap başına gereken kapasite ve ayrıntılılık yansıtmak için "maksimum uzunluk" parametresi 2048 olarak değiştirildi. GPT-3’ten yanıtlar 9 Mart 2023 tarihinde alındı. GPT-3 için önceden belirlenmiş araştırma soruları sorulmadan önce, yöntem analiz edildi. OpenAI tarafından geliştirilen özel bir model olarak GPT-3'ün ilgili özellikleri kontrol edildi. Özellikle, bu araştırmada kullanılan GPT-3 alıntısı, talep üzerine GPT-3 tarafından önerildi. Bu fizibilite çalışmasında, GPT-3’ün halk sağlığı hemşireliğine katkıları konusunda GPT-3 tarafından oluşturulan 6 amaç doğrultusunda sorulan sorular ve GPT-3 tarafından verilen yanıtlar yer almaktadır. GPT-3'ün, halk sağlığı hemşireliği ile ilgili olası metin blokları bir araya getirilerek, bir ekip üyesi olarak halk sağlığı hemşireliği araştırmalarına katkıda bulunabileceği ifade edilebilir. İnsan yazarlar, yapay zekanın yanı sıra bilimsel literatürü de takip etmesi gerektiği, halk sağlığı hemşireliği alanında yapay zeka katkıları hakkında geniş bir bilimsel tartışmanın gerekli olduğu söylenebilir.

Anahtar Kelimeler

• ChatGPT
• GPT-3
• OpenAI
• yapay zeka
• halk sağlığı hemşireliği

Kaynakça

1. Abd-Alrazaq, A. A., Alajlani, M., Alalwan, A. A., Bewick, B. M., Gardner, P., & Househ, M. (2019). An overview of the features of chatbots in mental health: A scoping review. International Journal of Medical Informatics, 132, 103978. https://doi.org/10.1016/j.ijmedinf.2019.103978
2. Ali, M. J., & Djalilian, A. (2023). Readership awareness series–paper 4: Chatbots and chatgpt-ethical considerations in scientific publications. Seminars in ophthalmology, 38(5), 503-507. https://doi.org/10.1080/08820538.2023.2193444
3. Bernstam, E. V., Shireman, P. K., Meric‐Bernstam, F., N Zozus, M., Jiang, X., Brimhall, B. B., Windham, A. K., Schmidt, S., Visweswaran, S., Ye, Y., Goodrum, H., Ling, Y., Baraparte, S., & Becich, M. J. (2022). Artificial intelligence in clinical and translational science: Successes, challenges and opportunities. Clinical and Translational Science, 15(2), 309-321. https://doi.org/10.1111/cts.13175
4. Brynjolfsson, E., Rock, D., & Syverson, C. (2018). Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics. In A. Agrawal, J. Gans, & A. Goldfarb (Eds.), The economics of artificial intelligence: An agenda. University of Chicago Press. https://www.nber.org/system/files/chapters/c14007/c14007.pdf
5. Chaix, B., Guillemassé, A., Nectoux, P., Delamon, G., & Brouard, B. (2020). Vik: A chatbot to support patients with chronic diseases. Health, 12(07), 804. https://doi.org/10.4236/health.2020.127058
6. Chubb, J., Cowling, P., & Reed, D. (2022). Speeding up to keep up: exploring the use of AI in the research process. AI & Society, 37(4), 1439-1457. https://doi.org/10.1007/s00146-021-01259-0
7. Crawford, J., Cowling, M., & Allen, K. A. (2023). Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). Journal of University Teaching & Learning Practice, 20(3), 02. https://doi.org/10.53761/1.20.3.02
8. Giansanti, D. (2022). Artificial Intelligence in Public Health: Current Trends and Future Possibilities. International Journal of Environmental Research and Public Health, 19(19), 11907. https://doi.org/10.3390/ijerph191911907

9. Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santod, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., Koedinger, K. R. (2021). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32, 504-526. https://doi.org/10.1007/s40593-021-00239-1
10. Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399. https://doi.org/10.1038/s42256-019-0088-2
11. Jungwirth, D., & Haluza, D. (2019). Information and communication technology and the future of healthcare: results of a multi-scenario Delphi survey. Health Informatics Journal, 25(1), 161-173. https://doi.org/10.1177/1460458217704256
12. Jungwirth, D., & Haluza, D. (2023). Artificial intelligence and public health: an exploratory study. International Journal of Environmental Research and Public Health, 20(5), 4541. https://doi.org/10.3390/ijerph20054541
13. Liebrenz, M., Schleifer, R., Buadze, A., Bhugra, D., & Smith, A. (2023). Generating scholarly content with ChatGPT: ethical challenges for medical publishing. The Lancet Digital Health, 5(3), e105-e106. https://doi.org/10.1016/S2589-7500(23)00019-5
14. Marchandot, B., Matsushita, K., Carmona, A., Trimaille, A., & Morel, O. (2023). ChatGPT: the next frontier in academic writing for cardiologists or a pandora’s box of ethical dilemmas. European Heart Journal Open, 3(2), oead007. https://doi.org/10.1093/ehjopen/oead007
15. Mhlanga, D. (2023). Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning. Education, the Responsible and Ethical Use of ChatGPT Towards Lifelong Learning. SSRN. http://dx.doi.org/10.2139/ssrn.4354422
16. O'Connor, S., & ChatGPT (2023). Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse?. Nurse Education in Practice, 66, 103537-103537. https://doi.org/10.1016/j.nepr.2022.103537
17. OpenAI. (2023, 9 Mart). GPT-3 (text-davinci-003) model. https://platform.OpenAI.com/playground
18. Özsezer, G., & Mermer, G. (2022). Using Artificial Intelligence in the COVID-19 Pandemic: A Systematic Review. Acta Medica Iranica, 60(7), 387. https://doi.org/10.18502/acta.v60i7.10208
19. Piao, M., Kim, J., Ryu, H., & Lee, H. (2020). Development and usability evaluation of a healthy lifestyle coaching chatbot using a habit formation model. Healthcare Informatics Research, 26(4), 255-264. https://doi.org/10.4258/hir.2020.26.4.255
20. Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3, 121-154. https://doi.org/10.1016/j.iotcps.2023.04.003
21. Thunström, A. O. & Steingrimsson, S. (2022). Can GPT-3 write an academic paper on itself, with minimal human input? HAL, 1-7.