Expert review on big data analytics quality model in enhancing healthcare organizational performance

• Main Authors: Mohd Nasir, Wan Mohd Haffiz, Jusoh, Yusmadi Yah, Abdullah, Rusli, Abdullah, Salfarina
• Format: Conference or Workshop Item
• Published: IEEE 2023
• Online Access: http://psasir.upm.edu.my/id/eprint/37638/; https://ieeexplore.ieee.org/document/10145081
• Institution: Universiti Putra Malaysia

Big Data Analytics implementation in healthcare can provide an end-to-end solution with better information value insights. This paper will highlight expert opinion in verifying the quality factors in big data analytics (BDA) that affect the performance of healthcare organizations and present the findings in developing the BDA quality model. This expert verification study was carried out through hybrid approach sessions either face-to-face or by virtual online meetings with two academicians, two specialists, one data scientist, two subject matter experts, and also as BDA expert, one industry expert, one senior ICT Director involve in healthcare, and one content validity expert. All the experts have a vast experience and implementation of BDA in healthcare. The results of these exercises have confirmed and verified ten BDA quality factors which consist of reliability, accuracy, completeness, timeliness, format, accessibility, usability, maintainability, and portability were commensurate with the research model. The analysis of this expert verification study has been done through descriptive analysis such as frequency, mean, and standard deviation. The pilot study will be commenced once the verification process and analysis are completed and the BDA quality model will be validated later through actual study.