Abstract
The health industry is undergoing a critical transformation to become
data-driven to catch up with other service industries. To achieve this,
the industry would need to transition from its current conventional
digital health models, which are impacted by several factors ranging
from data quality and availability, technology advancement/trend,
enabling ecosystem, public-private partnership, and care consumer
participation to data skills development and change management. It would
need to create a learning health system (LHS) when it integrates and
inculcates knowledge-generating capabilities in its operations to take
advantage of big data to identify healthcare service quality gaps and
evaluate interventions for progressive improvement. But first, it has to
continue to explore and come up with novel data-generating innovations,
the use of data by healthcare consumers and providers, and reliable data
regulation to ensure privacy and security as factors that influence
data-driven healthcare design/models.