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Conference object . 2024
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Evolutionary Studies in Imaginative Culture
Article . 2024 . Peer-reviewed
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Article . 2024
License: CC BY
Data sources: Datacite
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Article . 2024
License: CC BY
Data sources: Datacite
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Are GPTs the Answer to Small Clinics’ Digital Struggles? A Comprehensive Implementation Study

Authors: Rosario, Indira Del; Huang, B; Yan, Y; Lin, Wenjun;

Are GPTs the Answer to Small Clinics’ Digital Struggles? A Comprehensive Implementation Study

Abstract

Small clinics in North America often struggle to keep pace with the digital transformation sweeping the healthcare industry due to limited financial resources and technological expertise. This digital divide has become more pronounced with the increasing reliance on digital solutions, such as online booking systems and telehealth services, exacerbated further by the COVID-19 pandemic. This paper evaluates whether Generative Pre-trained Transformers (GPTs), introduced by OpenAI, can effectively bridge this gap by providing a cost-effective and efficient solution for small clinics. We detail the implementation of a GPT-based online booking system tai lored to the needs of small clinics. The methodology includes a flowchart of the system’s components and descriptions, supplemented by code and scripts in the appendix. Our findings show that GPTs can significantly improve booking efficiency, reduce administrative workload, and enhance patient experience. However, we also identify drawbacks such as technical issues and the need for staff adaptation. We discuss potential issues, including error handling, privacy concerns, and appointment conflicts. The paper concludes with recommendations for small clinics on leveraging GPT technology to enhance their digital capabilities, ultimately aiming to provide more efficient and accessible healthcare services.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average