Healthcare provider uses Analytics to deliver Personalized Care

1 min read
Dec 5, 2022

Overview

Industries

Long-term Care

Locations:

Canada

A Canadian long-term care provider used Internet-of-Things (IoT) sensors and an analytics platform to provide residents with more independent, fulfilled lives. However, platform limitations prevented the organization from scalably extracting, transforming, and analyzing health data to deliver proactive, personalized care.

To overcome these data challenges, Pythian designed and built an affordable, scalable analytics solution using its Enterprise Data Platform (EDP) QuickStart for Google Cloud. This solution allowed the organization to analyze and visualize 10 billion data points and lay the foundation for predictive care leveraging machine learning models.

What we did

In just a few weeks, Pythian deployed a customized Enterprise Data Platform (EDP) QuickStart for Google Cloud solution. The Pythian team delivered quick-to-value data in the cloud, analytics, and visualization use case supported by pre-project planning and infrastructure design. A custom BigQuery to BigQuery data pipeline drives greater health data utilization, while custom dashboards enable powerful insights through descriptive visualizations.

This solution allowed the long-term care provider to access their data lake at scale and improve their ability to provide value through their services. This additional control over their data will create opportunities to better serve the needs of their residents while maintaining security, cost savings, and data integrity. 

 
 

Technologies used 

 
  • Microsoft Azure
  • Microsoft SQL Server
  • Cloudera Hadoop
  • Google Cloud Storage
  • Google Dataproc
  • Google BigQuery
  • Google Cloud

Key Outcomes

Overcome vendor limitations and access billions of data points. The health care provider can now transform, analyze, and visualize resident health records in aggregate to visualize trends to improve care and foster independence. 

Access self-serve analytics and insights. The organization's new BigQuery instance enables greater health data availability and transformation. At the same time, its Power BI delivers historical and near-real-time reporting with descriptive visualizations that aid in anticipatory resident care. 

Laid the groundwork for advanced analytics and machine learning. This scalable architecture and enterprise platform approach enables advanced analytics and visualizations and allows leveraging machine learning models to proactively support at-risk residents.

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