Client Background
A global healthcare company that provides medical products and services to patients around the world, operates a network of clinics and hospitals that offer a wide range of medical treatments and therapies.
Client Need
Ensure correct functioning of IoT field devices.
Insights into erroneous signals causing alarms to sound even in the absence of treatment.
The need to provide access to IoT devices data on Amazon S3 buckets.
Ensure confidentiality and HIPAA compliance of patient health information.
Solution
Innova Solutions suggested adding Snowflake to the client’s data technology stack to extend the existing Amazon S3 data architecture.
Innova had prior experience in proposing and implementing the data architecture for the S3 data lake, making them well-equipped to implement the Snowflake Data Cloud’s capabilities.
AWS Glue was utilized to integrate with Snowflake and move data between platforms.
Internal views and external views were created using Snowflake.
Field access to the full data set, including PHI, was provided through internal views.
External views were made available to the research team by deidentifying PHI data through expert determination and leveraging Snowflake’s data sharing functionality.
Data sharing was done directly with the research team, avoiding the need for multiple data pipelines.
Realized Benefits
Increased research team’s operational efficiency by 70% by identifying error rates in clinical data and IoT metrics.
By updating the machines without affecting the core patient use case, customer satisfaction increased by 55% and productivity improved by 40% .
Over 25% cost savings by our future proof multi-cloud solution enabling data sharing across multiple clouds.
Sensitive data could be masked without being tangibly moved to other downstream data systems, reducing the risk of data breaches.
Enhanced Innovation & reduced time to market by 50% by integrating heterogenous, structured & unstructured data for research team.
Tools & Technologies
Amazon s3
Snowflake
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