We are thrilled to announce that Mohd Kamarulariffin Kamarudin has successfully defended his Doctor of Philosophy thesis titled “Developing Machine Learning-Based Hospital Standardised Mortality Ratio (HSMR): A Retrospective Analysis in Malaysia Public Hospitals.” This groundbreaking research marks a significant advancement in healthcare analytics and hospital performance measurement in Malaysia.
He was supervised by Professor Dr. Sanjay Rampal a/l Lekhraj Rampal and Dr. ‘Abqariyah Binti Yahya@Ahmad Noor form the Department and Dr. Nur Lisa Zaharan. We would like to thank Professor Dr. Adam G Dunn from The University of Sydney, Australia, Professor Dr. Peter Anthony Bath from University of Sheffield, United Kingdom and Dr. Muhammad Shahreeza Safiruz Kassim, Department of Artificial Intelligence, Faculty of Computer Science and Information Technology for examining the thesis and Professor Dr. Tunku Kamarul Zaman Tunku Zainol Abidin for chairing the Viva Voce session, Professor Dr. Shahrul Bahyah Kamaruzzaman, Deputy Dean (Postgraduate) and Dr. Victor CW Hoe the Head of Department for their participation in the viva voce.
Dr. Mohd Kamarulariffin’s innovative study integrates traditional statistical methods with cutting-edge machine learning techniques to predict hospital mortality rates. His work focuses on developing a more accurate and nuanced Hospital Standardised Mortality Ratio (HSMR) using data from the Malaysian Health Data Warehouse (MyHDW).
Key highlights of Dr. Kamarudin’s research include:
- Comprehensive comparison of machine learning algorithms (ridge regression, random forest, and neural networks) for predicting 30-day post-discharge mortality.
- Development of a framework for HSMR reporting using centralized hospital admission data.
- Utilization of funnel plots and Variable Life-Adjusted Display (VLAD) for effective visualization of hospital performance.
Dr. Mohd Kamarulariffin’s work has already made an impact in the field, with publications in prestigious journals such as the International Journal of Medical Informatics and the Southeast Asian Journal of Tropical Medicine and Public Health. His research on ethnic-specific mortality patterns in Malaysian public hospitals provides valuable insights for targeted healthcare interventions.
This research contributes significantly to the field of healthcare quality measurement in Malaysia and has potential implications for improving patient care and resource allocation in hospitals. Dr. Kamarudin’s work paves the way for more sophisticated and data-driven approaches to hospital performance evaluation.
We extend our warmest congratulations to Mohd Kamarulariffin Kamarudin on this remarkable achievement. His dedication to advancing healthcare analytics will undoubtedly contribute to improving healthcare outcomes in Malaysia and beyond
You must be logged in to post a comment.