A Large Healthcare Services Company

Healthcare Data Management Leader Maintains Critical Operations Through 24/7 Legacy System Support         

A large healthcare services company faced mounting challenges with aging master data management systems that processed critical healthcare data for multiple industry partners. Rather than pursuing a costly multi-year replacement project, they partnered with Allata to implement comprehensive 24/7 support services. Through strategic maintenance, process improvements, and targeted AI assistance for data matching, we ensured business continuity while the client developed their long-term modernization strategy.

OVERVIEW 

Our comprehensive support approach transformed an unstable legacy environment into a reliable operational foundation. The client successfully maintained their critical healthcare data processing capabilities while avoiding the risks and costs of premature system replacement. 

After initial contracting and staffing challenges, our team established consistent 24/7 support coverage using both nearshore and offshore resources. This approach ensured continuous monitoring and rapid response capabilities for weekend processing activities and critical system issues. 

The engagement demonstrated how strategic maintenance can extend the lifecycle of mission-critical systems while organizations plan for future modernization. Our approach allowed the client to maintain their position as a key data services provider to hospitals, clinics, and healthcare companies across multiple locations. 

THE CHALLENGE

The client operated two primary applications supporting their healthcare data processing business: a Data Management Application to identify, match and reclassify products and studies, and a Master Data Management system for governing shared enterprise data.  

Original support teams had been moved to replacement projects as the organization initially attempted to modernize these legacy applications. However, they discovered that replacement solutions would require years to implement, forcing a strategic pivot back to supporting existing systems. 

The return to legacy system support revealed significant challenges. Team members had left and required replacement, while vague documentation and manual processes created knowledge gaps. Early contract language also created scope limitations that complicated resource allocation and service delivery. 

The Data Management Application presented particular challenges due to its age, insecure protocols, and architectural limitations. The system’s design made routine maintenance difficult and created ongoing security risks that needed immediate attention. 

OUR SOLUTION 

Allata implemented a complete support services model designed to stabilize operations while the client developed their long-term modernization plans. Our approach focused on maintaining business continuity rather than pursuing immediate replacement, recognizing that the existing systems were fundamental pillars of the company’s operations. 

To ensure continuous availability for critical healthcare data processing, we established round-the-clock support using both nearshore and offshore team members. This model provided coverage for weekend processing activities and immediate response capabilities for system issues that could impact multiple healthcare partners. 

Beyond basic maintenance, we implemented strategic enhancements including CI/CD deployment processes and migration from Octopus deployment tools to Azure DevOps. These improvements increased deployment reliability and reduced manual intervention requirements. 

We introduced limited AI capabilities through the existing client matching system to improve data quality and reduce manual effort. The AI component helped identify duplicate entries and similar product names, such as distinguishing between “United States of America” and “USA” or matching variations like “Syringe 3MM” and “3MM syringe.” 

  • Established comprehensive support framework for critical legacy systems 
  • Implemented 24/7 coverage using nearshore and offshore team coordination 
  • Enhanced deployment processes with modern CI/CD practices 
  • Applied targeted AI assistance for data matching and duplicate detection 
  • Maintained operational stability while client planned modernization strategy 

THE RESULT  

Allata’s maintenance approach successfully preserved the client’s ability to serve healthcare partners without interruption. The systems continued processing critical healthcare data that supports hospitals, clinics, and medical device companies across multiple locations, maintaining the client’s position in a competitive market. 

After resolving initial staffing and contract challenges, we achieved consistent operational performance. The 24/7 support model ensured rapid response to issues and proactive monitoring of weekend processing activities, significantly reducing system downtime risks. 

The engagement proved that strategic maintenance can be more valuable than rushed modernization attempts. While no major replacement solution was delivered, our approach provided the stability needed for the client to properly plan their technological evolution without sacrificing current business operations. 

technology

Our solution leveraged the client’s existing technological investments while adding strategic improvements for enhanced reliability and monitoring capabilities. 

Innovation starts with a conversation.

Fill out this email form and we’ll connect you with the right person for your needs.

Related Case Studies

A Leading National Environmental Services Provider

AI-Powered Waste Profiling Cuts Rework by Half and Accelerates Approvals for a Leading National Environmental Services Provider           

A leading national environmental services provider processed thousands of hazardous waste profiles monthly through a manual workflow that averaged 3.7 days per approval — and 5.5 days when rework was required. With 23% of profiles kicked back for corrections and accuracy hovering at 75–80%, delays frustrated customers, burdened agents, and increased regulatory risk. Allata embedded an AI engineering team alongside the client's domain experts to build an intelligent document processing and validation platform on AWS. The solution targets 98.5%+ extraction accuracy and a 50% reduction in downstream corrections from day one of production.
A leading Provider in Modular Space Solutions

Leader in Modular Space Builds AI Foundation in Eight Weeks  Enabling Enterprise-Wide Adoption           

A leading provider in modular space solutions faced mounting pressure as field and sales teams couldn't find critical product specs and procedures buried across 14+ disconnected systems and tangled SharePoint sites. After shutting down commercial ChatGPT access due to security concerns, the company needed a secure, enterprise-controlled AI solution that could deliver productivity gains without compromising corporate data. Allata deployed the Allata AI Accelerator Framework in an 8-week engagement, establishing a secure multi-model AI platform with two sales-focused personas that positioned the organization for broader AI adoption while eliminating security vulnerabilities.
A Leading National Fitness Education and Certification Organization

Unified Data Platform Powers Standalone Growth for Fitness Education Leader           

A leading national fitness education and certification organization needed to separate from its parent company's shared IT infrastructure and establish data as a standalone growth engine. Allata conducted an extensive data landscape assessment and strategy engagement and built a modern data platform on Snowflake with near-real-time ingestion, medallion architecture, and self-service operational dashboards. The phased approach delivered a platform with marketing analytics and reusable pipelines, enabling data-driven decisions and business outcomes.