Business Intelligent Requirements in Decision Support System for Healthcare Industry

This article discusses the business intelligent requirements for decision support system (DSS) in healthcare industry. It covers the functionality of BI platform, data visualization capability, security parameters, and deployment of the BI system.

Business intelligent requirements
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Decision Support System (DSS) is predominant software in use by different medical staff
and patients to collect and extract information in order to make viable decision in an effective
manner. Currently, it is being used in medical industry to make decision with ease by presenting
and interpreting data conveniently. DSS has been categorized as a Business Intelligence (BI) due
to its ability to analyze data and present it for advanced decision making (Riabacke, Larsson &
Danielson, 2011). For any DSS, there are several requirements that should be considered by
system users in medical industry. First, the functionality of BI platform should be highly
considered. The functionality of DSS serves as basis of the software and should be able to offer
interactive visualization, software customization capability and interface user-friendliness to all
medical staff. Business requirements in any software should be associated with some business
documentation as well as project status and DSS in healthcare industry cannot be an exception.
To capture business requirements during system development, all stakeholders such as nurses,
doctors and other medical staff should be factored. In order to capture all business
functionalities, functional requirement documents should be used. Functionality requirements
collection can be used as an indication that, system development or upgrade has not been started.
The next aspect in business requirements in business intelligence is data visualization capability.
DSS should involve data representation in any visual medium for ease of decision making
(Mohammad, 2012). In order to make decisions in an efficient manner, DSS should be able to
present data in different form such as charts, graphs and tables for ease of use in healthcare
industry. Information users are able to make some customization to data in order to meet specific
requirements. In this regard, BI customization requirement should be met adequately with a sole
purpose of making changes to some information. Customization can be done in form of SQL
queries, data filters, layout and themes when filtering patient’s data. Data visualization can be

used an indicator that, system is working and data collected by the system can be used in
decision making in healthcare industry.
Similarly, decision system should consider security parameters in place to secure any set
of data collected. In this regard, business intelligent developers as well as all other stakeholders
should consider security of patient’s data. Security considerations factors in aspects such as user
privileges in terms of who has access to which data and for which use. According to Borissova,
Mustakerov & Korsemov (2016), system privileges and limits are meant to secure system from
fraud and measure compliance with required standards. Organizations are required to have a
clear outlined security document which defines security parameters and privileges accorded to
each system user. External protection measures should be outlined in a comprehensive manner in
order to make it possible to understand what has been done and areas that require advanced
strategies. Final business intelligent requirement which would be addressed is deployment of the
BI would be DSS deployment. The deployment methodology is highly dependent on existing
infrastructure, storage mechanisms and security parameters. Important to note is that,
organizational deployment selection should consider data access, security and general system
protection from misuse by unauthorized systems (Al-Shobaki & Abu-Naser, 2017). Deployment
of the system is a clear indicator of system development and testing post to going live into
business production.

References
Al-Shobaki, M. J., & Abu-Naser, S. S. (2017). Requirements for Applying Decision Support
Systems in Palestinian Higher Education Institutions-Applied Study on Al-Aqsa
University in Gaza. International Journal of Information Technology and Electrical
Engineering, 6(4), 42-55.
Borissova, D., Mustakerov, I., & Korsemov, D. (2016). Business intelligence system via group
decision making. Cybernetics and Information Technologies, 16(3), 219-229.
Mohammad, H. A. (2012). The Impact of Business Intelligence and Decision Support on the
Quality of Decision Making. Middle East University.
Riabacke, A., Larsson, A., & Danielson, M. (2011). Business Intelligence as Decision Support in
Business Processes: An Empirical Investigation. In Proceedings of 2nd International
Conference on Information Management and Evaluation (ICIME), ACI (pp. 384-392).