AthenaHealth is a private American company that provides network-enabled services for healthcare and point-of-care mobile apps in the United States.
AthenaHealth
- Company Size: 5,001-10,000 employees
- Company Location: Watertown, MA
- Website: https://www.athenahealth.com/
Table of Contents
Challenge
AthenaHealth was beginning to run into performance bottlenecks with its electronic health records (EHR) system. The existing Clinical Quality Reporting (CQR) tool was using Azure Virtual Machines (VMs) to process anywhere between 60,000 – 200,000 patient files a day. These files included confidential electronic medical records (EMR), patient engagement, medical billing, order transmission and therefore HIPAA compliance was paramount.
The cost of running these high powered VMs 24/7 was becoming extremely expensive, crashes were frequent and scaling was a challenge. Furthermore, these same VMs were also being leveraged to perform various analytics and machine learning tasks, for which they were not optimized to do so.
Services Rendered
- Cloud Modernization
- Cloud Migration
- DevOps
- Cloud Data Services
- Cloud Security
High Level Summary of Results
- Increased daily patient file processing by 200% by switching to AKS
- Used Apache Spark Clusters to optimize large scale data processing
- Decreased cloud spending by 42% by leveraging autoscaling
- Migrated 800 million files to Azure Blob Storage V2 for better performance and redundancy
- Performed full penetration testing to ensure HIPAA compliance
TechVora Solutions Added Value
In order to deal with some of the recent challenges, AthenaHealth enlisted the expertise of TechVora Solutions, known for their deep knowledge of the Azure Platform, DevOps, and data collection and analysis processes. Over the course of a year, TechVora Solutions collaborated with AthenaHealth’s engineering team to undertake a massive modernization initiative for their CQR tool.
The TechVora Solutions team dedicated their expertise to revamping and modernize AthenaHealth’s outdated infrastructure. The collaboration resulted in a 200% increase in daily file patient processing, while simultaneously decreasing cloud spend by 42%.
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