Everlight Radiology: Maximising Databricks for Healthcare Analytics with Proof of Concept

In today’s healthcare landscape, the ability to efficiently extract, process, and visualise critical information has become a critical differentiator for organisations looking to improve patient care and operational efficiency. Recognising this as an opportunity for digital transformation, forward-thinking healthcare providers are turning to advanced data platforms to maximise the value of their information assets.

Everlight Radiology partnered with DNX Solutions to run a pilot focused on expanding their health analytics capabilities. Together, they selected a use case that would deliver immediate value—tracking reporting times across radiologists, regions, and scan types. By leveraging their existing Databricks environment, Everlight aimed to gain deeper insights and improve operational efficiency with this proof of concept.

Everlight Radiology: A Leader in Diagnostic Imaging

Everlight Radiology is a leading global teleradiology provider that delivers 24/7 diagnostic imaging services to healthcare facilities worldwide. With a network of highly qualified radiologists working across multiple time zones, Everlight’s innovative “follow the sun” model ensures that patients and referring clinicians receive expert radiology opinions when they need them most, supporting critical decision-making in emergency and routine clinical scenarios.

Everlight’s services span across Australia, New Zealand, the UK, Ireland, and other regions, supporting thousands of patients daily through their commitment to excellence in diagnostic imaging.

Key Data Opportunities in Healthcare Analytics

Working with DNX Solutions, Everlight Radiology identified several opportunities to enhance their data management practices:

• Data Integration Complexity: With radiologists working across different time zones and locations, Everlight needed a more efficient way to extract and consolidate data from various sources, including Sumologic.
• Reporting Efficiency: The existing process for generating radiologist reporting metrics required optimisation to provide more timely insights into performance and workload distribution.
• Data Architecture Modernisation: Everlight recognised the need to establish a more robust data platform that could scale with their growing global operations while maintaining data quality and accessibility.
• Knowledge Transfer: The organisation needed to build internal capabilities around modern data practices to ensure long-term sustainability of any new solutions.

Proof of Concept: Building a Scalable Data Platform

To help Everlight evaluate and refine their strategy to evaluate a correlation between radiologist time, location and area of modality, DNX Solutions designed and implemented a comprehensive proof-of-concept (PoC) on the customer’s Databricks platform tailored to Everlight Radiology’s specific needs:

• Knowledge Transfer Workshops: DNX conducted two in-depth workshops to gain a high-level understanding of Everlight’s current data practices, architecture, documentation, and workload environments. This collaborative approach ensured the solution would align perfectly with Everlight’s operational realities.
• Integration with Existing Architecture: DNX leveraged Everlight’s existing Medallion architecture and framework, working within their structured data processing approach while enhancing workflows to support a new analytics use case.
• Data Transformation Pipeline: The team developed a process to ingest data from Sumologic, performing transformations to extract timing metrics for radiologist reporting.
• Radiologist Reporting Solution: Following Everlight’s success criteria, DNX created a specialised reporting table for radiologists that provided clear visibility into performance metrics and workload distribution.
• Data Quality Framework: The solution included implementation of data quality measures based on Everlight’s guidelines to ensure the integrity and reliability of the processed information.
• Documentation and Knowledge Sharing: DNX documented data dictionaries in a structured and accessible format, facilitating knowledge transfer and enabling Everlight’s team to maintain and extend the solution.

Delivering Business Value with Data Engineering

The two-week proof of concept delivered significant value to Everlight Radiology:

• Enhanced Data Visibility: The new workflow provided a unified view of radiologist reporting data, enabling better decision-making and resource allocation.
• Improved Data Quality: The data quality measures implemented ensured that reporting information was accurate and reliable, critical for healthcare operations.
• Knowledge Enhancement: Everlight’s team gained valuable insights into modern data practices through the collaborative workshops and knowledge transfer sessions.
• Proof of Value: The proof of concept reinforced the value of expanding analytics use cases within Everlight’s existing Databricks environment, demonstrating how targeted data initiatives could drive meaningful operational improvements.
• Cost-Effective Approach: By implementing a small-scale PoC first, Everlight could assess its impact before making a larger investment.

Shaping the Future of Data-Driven Healthcare

Everlight Radiology’s journey illustrates how healthcare organisations can transform technical challenges into strategic advantages through expert data engineering and analytics. By engaging DNX Solutions to establish this proof of concept, Everlight has taken a significant step toward more efficient data management, improved reporting capabilities, and enhanced decision-making. This proof of concept serves as a foundation for future data initiatives, positioning Everlight to continue delivering exceptional teleradiology services while adapting to the evolving healthcare landscape.

As healthcare continues to evolve through digital transformation, organisations that can effectively harness their data will be best positioned to deliver exceptional patient care while optimising operational efficiency. Everlight’s approach demonstrates that with the right expertise and tools, healthcare providers can turn complex data challenges into opportunities for meaningful clinical and operational advancement.