![case study](https://cdn.quantiphi.com/2024/02/8d9b9f51-radiology-data-lake.png)
Business Impacts
Accelerated R&D operational processes
Migrated and stored 9+ petabytes of data
Customer Key Facts
- Location : Europe
- Industry : Pharmaceuticals & Life Sciences
Problem Context
The collection and storage of radiology data is often a laborious and manual task for organizations with several data sources and a lack of infrastructure. Such a process is time-consuming and may fail to uncover insights that have useful business implications. Additionally, organizations that do not have proper data analytics systems in place experience difficulty in harmonizing multi-source data and running a unified set of analytics across the data sets.
Challenges
- Large datasets
- Compatibility of ETL tools with customs scripts
- Authentication challenges for pulling and pushing data into data lake
- Maintaining Data integrity
Technologies Used
![Cloud Dataflow](https://cdn.quantiphi.com/2024/02/Cloud-Dataflow.png)
Cloud Dataflow
![Google's BigQuery](https://cdn.quantiphi.com/2024/02/BigQuery-e1656078051285.png)
Google's BigQuery
![Cloud Dataproc](https://cdn.quantiphi.com/2024/02/Cloud-Dataproc.png)
Cloud Dataproc
![Cloud ML](https://cdn.quantiphi.com/2024/02/ML-engine.png)
Cloud ML
![Cloud Pub/Sub](https://cdn.quantiphi.com/2024/02/Cloud-PubSub.png)
Cloud Pub/Sub
![Cloud Datastore](https://cdn.quantiphi.com/2024/02/Cloud-Datastore.png)
Cloud Datastore
![Cloud Storage](https://cdn.quantiphi.com/2024/02/Cloud-Storage.png)
Cloud Storage
![Cloud Functions](https://cdn.quantiphi.com/2024/02/Cloud-Functions-e1656078444597.png)
Cloud Functions
![Tableau](https://cdn.quantiphi.com/2024/02/Tableau-software-logo-e1502871850906.png)
Tableau
![Google Data Studio](https://cdn.quantiphi.com/2024/02/Google-Data-Studio.jpeg)
Google Data Studio
Digital Transformation of Radiology Data Ecosystem
The customer, one of the largest multinational pharmaceutical and life sciences companies wanted to build a long-term system for storing, curating, and sharing medical images and patient healthcare information curated from multiple sources and leverage this data lake to work on cutting-edge machine learning and analytics solutions in the healthcare domain.
Solution
Leveraging Google’s HIPAA compliant products, like Healthcare API, Cloud Dataflow, and BigQuery, Quantiphi built robust radiology data lake with a customized and integrated DICOM viewer and annotation tool for day-to-day access and analysis. This brought everyday radiology workflows onto a scalable and flexible platform driving collaboration, growth, and innovation; thus, helping the organization to unlock vital insights from radiology data.
Results
- Improved data quality
- Democratized data for faster, better decision-making
- Flexible user management