Enterprise Data Lake

See how we're streamlining data extraction while enhancing analytics and actionable insights for NSW Health.

eHealth Explainer

What is the NSW Health Enterprise Data Lake?

The Enterprise Data Lake centrally stores and manages vast data from hospitals, clinics, and administrative systems, enabling authorised users to access, analyse, and use it for reporting, research, and decision-making.

Traditionally, accessing data can be slow The Enterprise Data Lake speeds up access to insights and data
  • Different hospitals, clinics, and departments store data in separate systems, making it hard to access and analyse.
  • Often data is extracted from live systems, slowing them down, causing downtime, and being both costly and time-consuming.
  • The Enterprise Data Lake consolidates all data into a single central location, making it quicker and easier to access and analyse.
  • This also ensures consistency, simplifies processes, and reduces storage needs, cutting costs.

How is the Enterprise Data Lake transforming data management across NSW Health?

Security controls and compliance

Healthcare data must be securely stored to protect confidentiality and meet privacy regulations.

The Enterprise Data Lake safely copies data from key systems without affecting performance, using smart technology to ensure smooth and secure operations.

Smarter, safer analytics

Virtual partitions give the right teams secure access to the data they need, while maintaining ownership and privacy.

These partitions act like secure doors, ensuring authorised teams only access relevant information, making data analysis safer and more efficient.

Optimising data for smarter healthcare

The large amounts of high-quality data within the Enterprise Data Lake is used to inform and power advanced analytics, machine learning, and predictive modelling across NSW Health.

Examples of how the Enterprise Data Lake can be applied

Early Detection of Health Trends

Collaboration

Machine learning algorithms can detect patterns in large datasets to identify emerging public health threats.

For example, tracking hospital occupancy patterns during outbreaks and predicting capacity needs.

Predictive Analytics for Patient Care

AI models can analyse historical patient data to predict patients who are at high risk of complications post-surgery, allowing early interventions.

By spotting these risks early, healthcare providers can intervene proactively, offering targeted care that prevents severe complications.

Tailored Healthcare Solutions

AI-driven insights can help tailor treatments based on individual patient data and past outcomes.

For example, our Oncology teams could use AI to recommend personalised cancer treatment plans based on genetic and clinical data.

Scalable Growth for the Future

Traditional systems can struggle to handle the growing volume of healthcare data efficiently.

The Enterprise Data Lake is built to scale, empowering NSW Health to manage and analyse growing volumes of data far into the future.

Read more about the Enterprise Data Lake