Mitigating the Burden of Severe Pediatric Respiratory Viruses in the Post-COVID-19 Era: ChatGPT Insights and Recommendations
Open accessAbstract
In the current post-pandemic era, the rapid spread of respiratory viruses among children and infants resulted in hospitals and pediatric intensive care units (PICUs) becoming overwhelmed. Healthcare providers around the world faced a significant challenge from the outbreak of respiratory viruses like respiratory syncytial virus (RSV), metapneumovirus, and influenza viruses. The chatbot generative pre-trained transformer, ChatGPT, which was launched by OpenAI in November 2022, had both positive and negative aspects in medical writing. Still, it has the potential to generate mitigation suggestions that could be rapidly implemented. We describe the generated suggestion from ChatGPT on 27 Feb 2023 in response to the question "What's your advice for the pediatric intensivists?" We as human authors and healthcare providers, do agree with and supplement with references these suggestions of ChatGPT. We also advocate that artificial intelligence (AI)-enabled chatbots could be utilized in seeking a vigilant and robust healthcare system to rapidly adapt to changing respiratory viruses circulating around the seasons, but AI-generated suggestions need experts to validate them, and further research is warranted.
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ChatGPT was frequently utilized to quickly generate educational materials and provide healthcare advice to patients and communities.
“ChatGPT was frequently utilized to quickly generate educational materials and provide healthcare advice to patients and communities [22,23,24].”
From ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations (2023) · cites this paper as [22]
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Temsah, M.-H., Aljamaan, F., Malki, K. H., Alhasan, K., Altamimi, I., Aljarbou, R., Bazuhair, F., Alsubaihin, A., Abdulmajeed, N., Alshahrani, F. S., et al. (2023) · Healthcare · doi:10.3390/healthcare11131812 · Cited by 179 · see citing works
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- Authors
- Alhasan, K., Al-Tawfiq, J., Aljamaan, F., Jamal, A., Al-Eyadhy, A., & Temsah, M.-H.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Temsah, Mohamad-Hani
- Venue
- Cureus
- Published
- 2023-03-16
- Volume
- 15
- Issue
- 3
- Pages
- e36263-e36263
- ISSN
- 2168-8184 (ISSN-L)
- PMC
- PMC10105647
- OpenAlex
- W4327732489
- Cited by
- 22
- References
- 10
- Citations by year
- 2025: 3 · 2024: 8 · 2023: 10
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Cureus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- IUScholarWorks (Indiana University) (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Epidemiology › Respiratory viral infections research
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- pediatric respiratory viruses, respiratory syncytial virus, metapneumovirus, influenza, pediatric intensive care, ChatGPT, large language models, artificial intelligence in healthcare, healthcare burden, post-pandemic
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