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 Towards an Effective Solution for Medical Treatment Process based on Product Lifecycle Management
Tác giả hoặc Nhóm tác giả: Thanh Nghi Ngo, Phuoc Vinh Dang, Nhu Thanh Vo, Hoai Nam Le, Le Hung Toan Do, Le Anh Doan
Nơi đăng: Proceedings of The 4th International Conference on Machine Learning and Soft Computing (ICMLSC 2020)(Scopus); Số: ISBN: 978-1-4503-7631-0;Từ->đến trang: 134-139. ISBN: 978-1-4503-7631-0;Năm: 2020
Lĩnh vực: Kỹ thuật; Loại: Báo cáo; Thể loại: Quốc tế
TÓM TẮT
Medical sector is one of the important domains in current society. This paper focuses on the patient treatment processes, in case of requiring prosthesis implantation. The specificity of such aprocess is that it makes connections between two lifecycles belonging to medical and engineering domains respectively. This implies several collaborative actions between stakeholders fromheterogeneous disciplines. However, several problems of communication and knowledge sharing may occur because of the variety of semantic used and the specific business practices in each domain. In this context, this paper is interested in the potential of knowledge engineering and product lifecycle management approaches to cope with the above problems. To do so, a conceptual framework is proposed for the analysis of links between the disease (medical domain) and the prosthesis (engineering domain) lifecycles. Based on this analysis, a combined KM-PLM based approach is proposed. The application of the proposition is demonstrated through an implementation of useful function in the AUDROS PLM software.
ABSTRACT
Medical sector is one of the important domains in current society. This paper focuses on the patient treatment processes, in case of requiring prosthesis implantation. The specificity of such aprocess is that it makes connections between two lifecycles belonging to medical and engineering domains respectively. This implies several collaborative actions between stakeholders fromheterogeneous disciplines. However, several problems of communication and knowledge sharing may occur because of the variety of semantic used and the specific business practices in each domain. In this context, this paper is interested in the potential of knowledge engineering and product lifecycle management approaches to cope with the above problems. To do so, a conceptual framework is proposed for the analysis of links between the disease (medical domain) and the prosthesis (engineering domain) lifecycles. Based on this analysis, a combined KM-PLM based approach is proposed. The application of the proposition is demonstrated through an implementation of useful function in the AUDROS PLM software.
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