Projects per year
Personal profile
Biography
Dr Nurul Aqilah is an implementation science researcher with a focus on optimizing technology adoption within healthcare settings. Her doctoral research focused on applying human-centered design principles to develop electronic medical record (EMR) modules specifically tailored to breast cancer multidisciplinary care. This clinical system, implemented in 2016, is currently used at the University Malaya Medical Centre (UMMC) Breast Clinic, and has demonstrably improved workflow efficiency for the care team. Building upon this foundation, Aqilah's postdoctoral work centered on the design of a comprehensive, hospital-based cancer registry reporting system.
Research interests
Dr Nurul Aqilah decodes the complexities of EMR systems and healthcare registries, transforming raw data into actionable insights. From crafting interactive data visualisations to uncovering hidden patterns, Aqilah navigates the digital landscape in guiding clinical stakeholders towards informed decisions and innovative solutions.
Beyond analysis, Aqilah focuses on devising predictive model pipelines to tackle real-world clinical challenges, bridging the gap between health informatics and clinical practice, which are aimed at enhancing patient outcomes and optimising healthcare via digital workflows.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, Health Informatics, Universiti Malaya (University of Malaya)
Award Date: 1 Dec 2018
Master of Science, Developmental Biology, University of Manchester
Award Date: 1 Sept 2011
Bachelor of Science (Honours), Bioinformatics, Universiti Malaya (University of Malaya)
Award Date: 1 Jul 2010
Research area keywords
- Human Centered Design
- Health Informatics
- Digital Health
- Non-communicable Disease
Collaborations and top research areas from the last five years
Projects
- 1 Active
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Development and Validation of Chronic Kidney Disease Predictive Model for the Malaysian Population
Lee, S. W. H. (Primary Chief Investigator (PCI)), Wong, Y. J. (Chief Investigator (CI)), Kumar, N. (Chief Investigator (CI)), Hussein, Z. (Chief Investigator (CI)), Aqilah, N. (Chief Investigator (CI)), Lim, S. K. (Chief Investigator (CI)) & Loh, C. L. (Chief Investigator (CI))
29/04/24 → 28/04/26
Project: Research
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Computational assessment of COVID-19 time series using ARIMA models: comparative analysis of new cases, vaccination rates, booster doses, and mortality trends
Ganggayah, M. D., Rajandaran, R., Mohd Nor, N. A. & Abu Hasan, N. I., 11 Dec 2023, The 4th International Conference on Applied Computing 2023, ICAC 2023. Hong Kong China: ELSP, 11 p. 0032. (Proceedings: Computer Science; vol. 2023, no. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review
Open Access -
Machine learning and deep learning approaches in breast cancer survival prediction using clinical data
Kalafi, E. Y., Nor, N. A. M., Taib, N. A., Ganggayah, M. D., Town, C. & Dhillon, S. K., 2019, In: Folia Biologica. 65, 5-6, p. 212-220 9 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile69 Citations (Scopus) -
Development of electronic medical records for clinical and research purposes: The breast cancer module using an implementation framework in a middle income country- Malaysia
Mohd Nor, N. A., Taib, N. A., Saad, M., Zaini, H. S., Ahmad, Z., Ahmad, Y. & Dhillon, S. K., 4 Feb 2019, In: BMC Bioinformatics. 19, Suppl 13, 16 p., 402.Research output: Contribution to journal › Conference article › Research › peer-review
Open AccessFile10 Citations (Scopus)