Intelligent Teledermatology System: A Case of Implementing Artificial Intelligence-Based Services in Healthcare Supply Chain

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Abstract:
Teledermatology is part of telemedicine which provides remote services of skin disease diagnosis for patients by utilizing information and communication technology. This system has been used for decades and is increasingly used especially during the COVID-19 pandemic. However, none of the existing studies have reported the existence of an integrated web-based and mobile-based teledermatology application that integrates Artificial Intelligence. Hence, in this study, we propose the use of the so-called Intelligent Teledermatology System (ITDS), and how this system can support the healthcare supply chain. The development of ITDS complies with the Case-Based Reasoning approach. This system consists of three main functions: management information system, point of services, and intelligent systems. The ITDS provides complete features so that the supply chain of remote services for skin disease diagnosis can be delivered to patients. Furthermore, this system provides a classification function as part of a decision support system for dermatologists in making diagnoses. In terms of the supply chain, we have described that the supply chain concept is also applicable to services like teledermatology. Hence, the Intelligent Teledermatology System can be used to support the healthcare supply chain in this case the skin disease diagnosis services.
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@article{oscm-2023-100,
  title={Intelligent Teledermatology System: A Case of Implementing Artificial Intelligence-Based Services in Healthcare Supply Chain},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0520379}
}
 (2023). Intelligent Teledermatology System: A Case of Implementing Artificial Intelligence-Based Services in Healthcare Supply Chain. Operations and Supply Chain Management: An International Journal, 16(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0520379