Legacy Healthcare Application Modernization and Optimization for Improved Clinician Experience

The healthcare organization relies on decades-old, undocumented legacy applications built on various outdated technologies, leading to frequent service disruptions, increased technical debt, and limited ability to enhance user experience. The lack of documentation and knowledge transfer hampers efficient maintenance, risking operational stability and patient care quality. Additionally, clinicians require a seamless user interface aligned with modern UX standards but are resistant to extensive retraining, further complicating upgrades.

A large healthcare provider utilizing multiple legacy medical imaging and management systems serving hundreds of thousands of clinicians globally.

• Establish a systematic application maintenance framework ensuring 24/7 support and zero downtime for critical legacy systems.
• Identify and remediate technical debt accumulated over two decades to improve system stability and architectural flexibility.
• Modernize user interfaces using familiar access paradigms to deliver a CX that minimizes retraining and disruption for clinicians.
• Implement enhancements such as improved DICOM viewer connectors and configuration migration to optimize clinical workflows.
• Reduce service disruptions and achieve high system availability targets (e.g., 99.99% uptime).
• Build a knowledgeable, agile team capable of ongoing legacy system evolution and support.

• A modular, platform-agnostic application support system covering multiple specialty applications (e.g., radiology, cardiology, OB/GYN).
• Implementation of a collaborative code analysis and reverse engineering process to understand undocumented modules.
• Development of utility tools for configuration management, error tracking, and process automation (e.g., onboarding workflows).
• A modern Web UI wrapper providing clinicians with an intuitive, familiar navigation experience over existing functionalities.
• Customized connectors for legacy DICOM applications to enhance image viewing and data interoperability.
• Integration with existing issue tracking and debugging tools (e.g., issue logs, error reporting).
• Migration of configuration data from legacy formats (e.g., INI files) to modern database systems like SQL Server.

• Existing DICOM imaging systems for enhanced image viewing and data interchange
• Error tracking and debugging tools for continuous monitoring
• Configuration management systems for migrating legacy configuration files

• Achieve 99.99% system uptime to ensure uninterrupted clinical operations
• Implement scalable architecture to accommodate future application and data growth
• Ensure high security standards to protect sensitive patient data
• Optimize error detection and resolution to facilitate rapid issue resolution
• Design user interfaces that require minimal clinician retraining, favoring familiarity and usability

The initiative is expected to significantly reduce application downtimes and technical debt, leading to an estimated 99.99% uptime. Modernized, user-friendly interfaces will minimize clinician retraining efforts and improve user satisfaction. Enhanced system stability and integration will streamline clinical workflows, reduce onboarding cycle times, and support future scalability, ultimately elevating patient care quality and operational efficiency.