Scaling Healthcare Analytics: Processing 45TB of Patient Data in 44 Hours
45TB in 44 Hours
Auto-Scaling Cloud
Cost-Effective Processing
0
Hospitals and millions of patients
0
Complex CCDs per hour
Overview
Seamless Patient Data Integration
A healthcare analytics provider needed to ingest massive volumes of
complex patient data from dozens of health plan organizations using
various formats and protocols—including HL7 v3, FHIR bundles, and
JSON. With BridgeGate™, the client implemented a high-performance
integration layer that seamlessly sanitized, processed, and delivered
accurate data into their analytics engine. BridgeGate™ processed over 44
million patient files (45TB) in just 44 hours, enabling insights for 20+
health plans, 100+ hospitals, and millions of patients.
Background
About the Client
An Enterprise healthcare data platform which unifies data across multiple health plans for the providers to get insights for streamlining operations and improving clinical trial revenue.
The Problem
The Challenge
The customer receives different file types like HL7 v3 (CCDs), FHIR bundles, JSONs etc through multiple protocols.
The customer attempted to use competing EiPaaS products but they lacked the core integration functionality to parse the necessary data sets and fix errors in the data.
The Outcome
The Solution
The customer uses the fully managed BridgeGate which allows the team to focus on their core capabilities of building the analytics engine.
BridgeGate processed over 44 million patient files, approximately 45TB of data in 44 hours. The BridgeGate cloud auto-scaling and clustering feature was able to spin up additional processing power to meet the peak demand at a fraction of competing EiPaaS platform costs.
The Impact
The Results
BridgeGate™ helped exceed the volume/time requirements by processing over 44 million patient files, approximately 45TB of data in 44 hours. BridgeGate™ loaded an average of over 1 million complex CCDs per hour. The BridgeGate™ cloud auto scaling and clustering feature was able to spin up additional processing power to meet the peak demand at a fraction of the competing EiPaaS platform costs. This enabled upwards of 20 health plan providers, 100+ hospitals and millions of patients to get help in their care plan and gave insights to the practitioners for better patient care.
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