Opportunities for Big Data Analytics in Healthcare Information Systems Development for Decision Support

Ristevski, Blagoj and Savoska, Snezana and Blazheska-Tabakovska, Natasha (2020) Opportunities for Big Data Analytics in Healthcare Information Systems Development for Decision Support. In: ISGT 2020 Information Systems and Grid Technologies, May 29 – 30, Sofia, Bulgaria.

Text paper4.pdf Download (974kB)

Abstract

Nowadays, an enormous volume of heterogeneous healthcare and medical data are generated routinely. These heterogeneous data have to be integrated and stored in a standard manner and format to perform appropriate big data analysis and visualization and improve decision-making. These data are generated from different sources such as mobile devices, sensors, national public health institutions, laboratory tests, clinical notes, social media, and various omics data that can be structured,
semi-structured or unstructured. These data structure varieties necessitate these big data to be stored not only in the relational databases but also in NoSQL databases.
To provide effective data analysis, besides the application of appropriate data mining techniques, excellent design and implementation of healthcare information systems are needed. These software solutions have to solve patient data security and privacy issues by employing proper big data governance policies. The design
and implementation of healthcare information knowledge-based systems should provide to the patients more well-organized and economical healthcare services, and on the other hand, a boosted knowledge-based basis for decision-making to the managers in healthcare institutions and insurance companies and benefits for the all involved stakeholders. In this paper, we overview and suggest suitable development framework that will cover patient-, clinical- and population oriented approaches to decision-making and to reveal valuable knowledge and insights from these healthcare and medical big data. Moreover, on specific occasions, this knowledge should enable a rapid and reliable response to the healthcare hazards and help to decision-makers worldwide as well on the national level

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Prof. d-r. Snezana Savoska
Date Deposited:	30 Oct 2020 17:33
Last Modified:	30 Oct 2020 17:33
URI:	https://eprints.uklo.edu.mk/id/eprint/5829

Actions (login required)

View Item