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Project Description

ExamWorks provides medical claims management solutions, including Independent Medical Examinations (IMEs), peer and bill reviews, Medicare compliance, and medical record management. Supported by secure technology platforms and custom portals, they enable efficient workflows, regulatory compliance, and privacy-focused healthcare decision support.

Scope Of Work

The client approached us to modernize their clinical documentation workflows by implementing an AI-powered Speech-to-Text ecosystem that transforms physician dictation into structured medical reports while improving speed, accuracy, and compliance across examination workflows.


Key responsibilities were: 

• Designing secure speech-recognition pipelines for medical dictation and audio transcription
• Integrating Speech-to-Text into existing IME and medical review systems
• Automating report creation workflows to reduce manual transcription efforts
• Enabling real-time conversion of audio files into standardized clinical documentation
• Ensuring HIPAA-aligned data handling, storage, and processing security
• Optimizing turnaround time and physician productivity through intelligent automation

The aim was to streamline documentation operations, enhance reporting efficiency, and enable scalable digital medical reporting across a distributed provider network. 

Our Solution

Oodles delivered a scalable AI-driven Speech-to-Text ecosystem for ExamWorks, enabling physicians to convert dictation into structured medical reports seamlessly while improving documentation speed, usability, and operational efficiency.

• Integrated Microsoft Azure Speech-to-Text for high-accuracy medical transcription
• Designed intuitive UX workflows simplifying dictation, editing, and report finalization
• Built responsive web applications using Angular 8 and AngularJS
• Developed mobile applications enabling on-the-go dictation and report access
• Engineered modern web interfaces improving usability and clinical adoption

The solution accelerated report generation, reduced manual transcription dependency, and enabled faster, technology-driven medical documentation workflows.

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