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Success Story

Boosting Healthcare Research Efficiency by 70% Through Secure IoT Data Sharing

As a global provider of medical products and services, the company operates a network of clinics and hospitals that offer a wide range of medical treatments and therapies.

Client Background

As a global provider of medical products and services, the company operates a network of clinics and hospitals that offer a wide range of medical treatments and therapies.

Client Need

Unreliable IoT field devices and erroneous signals triggered false alarms, impacting treatment efficacy
Sensitive IoT device data required stringent security features and enhanced access control in compliance with HIPAA and other regulations
Redundant data pipelines required significant operational overhead and used inefficient data-sharing processes

Solution

Unified Data Platform: Integrating Snowflake Data Cloud with the existing Amazon S3 data lake architecture creates a single platform to easily manage and access IoT data
Seamless Data Integration: Leveraging AWS Glue for efficient data integration and movement between Amazon S3 and Snowflake enhances the consistency of data
Granular Data Access Control: Internal and external views within Snowflake enable role-based access to sensitive data; internal views provide access to the full dataset, including PHI, while external views created through expert determination deidentify PHI for research teams
Secure Data Sharing: Snowflake's data sharing capabilities enable the direct, secure sharing of de-identified data with the research team, eliminating the need for complex and potentially vulnerable data pipelines

Realized Benefits

Improved research team operational efficiency by 70% by identifying error rates in clinical data and IoT metrics
Increased customer satisfaction by 55% and boosted productivity by 40% through machine updates that minimize disruption to core patient care processes
Achieved >25% cost savings with a future-proof, multi-cloud solution, enabling efficient data sharing across multiple cloud environments
Enhanced data security by masking sensitive data within Snowflake, reducing the risk of data breaches
Accelerated innovation and reduced time to market by 50% by integrating heterogeneous, structured, and unstructured data for the research team

Tools & Technologies

Snowflake
Amazon S3

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