Publicado en 3C Tecnología. Edición Especial – Noviembre 2019

Autores

• Azana Hafizah Binti Mohd Aman
• Syed Abdul Mutalib Al Junid
• Hasimi Salehudin
• Adil Hidayat
• Rosilah Hassan
• Syed Mohamed Aljunid

Resumen

Abstract

Dengue fever is one of the neglected tropical diseases (NTDs) in the Southeast Asian Countries (ASEAN), almost 70 million cases of dengue fever occur annually. This infection is now one of the most economically important NTDs in the region. Hence, there are urgent needs to spread public awareness on NTDs, the prevention, the treatment and the clinical cost involved. An innovation in health services and management system is needed to cater this issue. Intelligent Ecosystem for Healthcare Service and Management (IEHSM) is an integration of healthcare management, health knowledge base and data reference, control and elimination tools, and clinical costing. The main objective of this research is to provide a model for the improvement of fundamental understanding of public health especially NTDs and at the same time improve the existing healthcare services and management system. IEHSM adapts the optimization of prevention emphasizing on therapeutic approaches through Big Data Analytics, Artificial Intelligent, Cloud Computing, Machine Learning and Information Centric Networking. The IEHSM framework is based on Casemix system, a system that aggregates information about patients and associated procedures based on the type and mix of patients’ treatment.

Artículo

Palabras clave

Keywords

Intelligent Healthcare Ecosystem, Artificial Intelligence, Cloud Computing, Big Data.

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