IEEE Access special section editorial: health informatics for the developing world

Qadir, Junaid and Mujeeb-U-Rahman, Muhammad and Rehmani, Mubashir Husain and Pathan, Al-Sakib Khan and Imran, Muhammad Ali and Hussain, Amir and Rana, Rajib ORCID: and Luo, Bin (2017) IEEE Access special section editorial: health informatics for the developing world. IEEE Access, 5.


We live in a world with growing disparity in the quality of life available to people in the developed and developing countries. Healthcare in the developing world is fraught with numerous problems such as the lack of health infrastructure, and human resources, which results in very limited health coverage. The field of health informatics has made great strides in recent years towards improving public health systems in the developing world by augmenting them with state-of-the-art information and communication technologies (ICT). Through real-world deployment of these technologies, there is real hope that the health industry in the developing world will progress from its current, largely dysfunctional state to one that is more effective, personalized, and cost effective. Health informatics can usher a new era of personalized health analytics, with the potential to transform healthcare in the developing world. In conjunction with mHealth and eHealth, many other important health informatics trends—such as artificial intelligence (AI), machine learning (ML), big data, crowdsourcing, cloud computing—are also emerging. Exponentially growing heterogeneous data, with the help of big data analytics, has the potential to provide descriptive, predictive, and prescriptive health insights as well as enable new applications such as telemedicine and remote diagnostics and surgery. Such systems could enhance the overall process of monitoring, diagnosis, and prognosis of diseases.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Faculty/School / Institute/Centre: Current - Institute for Resilient Regions
Faculty/School / Institute/Centre: Current - Institute for Resilient Regions
Date Deposited: 02 Jul 2018 00:04
Last Modified: 08 Jun 2021 00:24
Fields of Research (2008): 11 Medical and Health Sciences > 1117 Public Health and Health Services > 111799 Public Health and Health Services not elsewhere classified
08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461199 Machine learning not elsewhere classified
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences

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