We have proposed a system of classification and detection of skin diseases that can be applied to Teledermatology. This system will classify skin diseases on dermoscopic images using the Deep Learning algorithm, Convolutional Neural Network (CNN). Dermoscopic image data in this study from MNIST HAM10000 dataset which amounts to 10,015 images and published by International Skin Image Collaboration (ISIC). The dataset is divided into seven class of skin diseases which fall into the category of skin cancer. The image classification process will use two pre-trained CNN models, MobileNet v1 and Inception V3. The model results from the learning process will be applied to a web-classifier. The comparison of predictive accuracy shows that the web-classifier using the CNN Inception V3 model has an accuracy value of 72% while the web-classifier that uses the MobileNet v1 model has an accuracy value of 58%.

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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 Purnama et al. : Intelligent Teledermatology System: A Case of Implementing Artificial Intelligence-Based Services in Healthcare Operations and Supply Chain Management 16(1) pp. 140-151 © 2023 141system 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.