AI-driven telemedicine: Optimizing daily dietary recommendations amidst the COVID-19 pandemic

Amidst the COVID-19 pandemic, the imperative of physical distancing has underscored the necessity for telemedicine solutions. Traditionally, telemedicine systems have operated synchronously, requiring scheduled appointments. This study introduces an innovative telemedicine system integrating Artificial Intelligence (AI) to enable asynchronous communication between physicians and patients, eliminating the need for appointments and providing round-the-clock access from any location. The AI-Telemedicine system was developed utilizing Google Sheets and Google Forms. Patients can receive dietary recommendations from the AI acting as the physician and submit self-reports through the system. Physicians have access to patients’ submitted reports and can adjust AI settings to tailor recommendations accordingly. The AI-Telemedicine system for patients requiring daily dietary recommendations has been successfully developed, meeting all nine system requirements. System privacy and security are ensured through user account access controls within Google Sheets. This AI-Telemedicine system facilitates seamless communication between physicians and patients in situations requiring physical distancing, eliminating the need for appointments. Patients have round-the-clock access to the system, with AI serving as a physician surrogate whenever necessary. This system serves as a potential model for future telemedicine solutions.

Authors

Institutions

Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-10-20
DOI
https://doi.org/10.24294/jipd.v8i11.8908
Citations
2
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
1.28

Funders

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article

AI-driven telemedicine: Optimizing daily dietary recommendations amidst the COVID-19 pandemic

Pantip Kayee, Bagher Javadi, Suwimon Kooptiwoot, Chaisri Tharasawatpipat et al.
2 citations
Journal of Infrastructure Policy and Development
COVID-19 and Mental Health
1.28
article

AI-driven telemedicine: Optimizing daily dietary recommendations amidst the COVID-19 pandemic

Pantip Kayee, Bagher Javadi, Suwimon Kooptiwoot, Chaisri Tharasawatpipat, Sivapan Choo-In
article en
2 citations

Abstract

Amidst the COVID-19 pandemic, the imperative of physical distancing has underscored the necessity for telemedicine solutions. Traditionally, telemedicine systems have operated synchronously, requiring scheduled appointments. This study introduces an innovative telemedicine system integrating Artificial Intelligence (AI) to enable asynchronous communication between physicians and patients, eliminating the need for appointments and providing round-the-clock access from any location. The AI-Telemedicine system was developed utilizing Google Sheets and Google Forms. Patients can receive dietary recommendations from the AI acting as the physician and submit self-reports through the system. Physicians have access to patients’ submitted reports and can adjust AI settings to tailor recommendations accordingly. The AI-Telemedicine system for patients requiring daily dietary recommendations has been successfully developed, meeting all nine system requirements. System privacy and security are ensured through user account access controls within Google Sheets. This AI-Telemedicine system facilitates seamless communication between physicians and patients in situations requiring physical distancing, eliminating the need for appointments. Patients have round-the-clock access to the system, with AI serving as a physician surrogate whenever necessary. This system serves as a potential model for future telemedicine solutions.

Journal of Infrastructure Policy and DevelopmentVol. 8(11)
Suan Sunandha Rajabhat University (TH)
Suan Sunandha Rajabhat University
Good health and well-being
Openalex Percentile: Top 19%
COVID-19 and Mental Health
1.28
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AI-driven telemedicine: Optimizing daily dietary recommendations amidst the COVID-19 pandemic — Pantip Kayee, Bagher Javadi, et al. · Journal of Infrastructure Policy and Development (2024) | TGRS Research Map | TGRS