ECOSYSTEM FOR HEALTHCARE SERVICES AND MANAGEMENT SYSTEM

被引:1
|
作者
Aman, Azana Hafizah Mohd [1 ]
Al Junid, Syed Abdul Mutalib [2 ]
Salehudin, Hasimi [1 ]
Hidayat, Adil [3 ]
Hassan, Rosilah [1 ]
Aljunid, Syed Mohamed [4 ,5 ]
机构
[1] Natl Univ Malaysia, Fac Informat Sci & Technol, Selangor, Malaysia
[2] Univ Teknol MARA, Fac Elect Engn, Shah Alam, Selangor, Malaysia
[3] My6 Initiat Berhad, Cyberjaya, Malaysia
[4] Natl Univ Malaysia, Fac Med, Kuala Lumpur, Malaysia
[5] Kuwait Univ, Dept Hlth Policy & Management, Fac Publ Hlth, Kuwait, Kuwait
来源
3C TECNOLOGIA | 2019年 / SI期
关键词
Intelligent Healthcare Ecosystem; Artificial Intelligence; Cloud Computing; Big Data;
D O I
10.17993/3ctecno.2019.specialissue3.121-131
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:121 / 131
页数:11
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