The rise of machine learning in healthcare has significant implications for paediatrics. Long-
term conditions with significant disease heterogeneity comprise large portions of the routine …

Objective: Storage of physiological waveform data for retrospective analysis presents
significant challenges. Resultant data can be very large, and therefore becomes expensive …

Efficiency in oral pathological laboratory processes is paramount for timely and accurate
diagnosis. This review explores various strategies and methodologies that help streamline …

Purpose Whether evaluating patients clinically, documenting care in the electronic health
record, performing research, or communicating with administrative agencies, the use of a …

Objectives The objectives of this study are to construct the high definition phenotype (HDP),
a novel time-series data structure composed of both primary and derived parameters, using …

Increased length of stay (LOS) in intensive care units is directly associated with the financial
burden, anxiety, and increased mortality risks. In the current study, we have incorporated the …

Engaging in timely, informative, and clinically relevant quality improvement (QI) initiatives
should be a priority of health care organizations large and small. As clinical science …

Objective: Based on software engineering principles, we designed and implemented a
medical device data dictionary system that aligns with data integration and industry …

Big data analytic strategies applied to routinely acquired, continuously assessed physiologic
monitoring parameters in the neonatal intensive care unit (NICU) have provided clinically …

The considerable difference between the reported number of actual and estimated viral
hepatitis cases in the Philippines can be attributed to the lack of reliable data. Since viral …