AI-Powered Medical Records Automation
Enhancing Healthcare with Intelligent Automation
Project Summary
A healthcare provider sought to revolutionize patient record processing by leveraging AI to extract and analyze medical data. Techversant delivered an AI-powered assistant platform, utilizing deep learning OCR and NLP to extract entities from lab records, classify document types, and predict patient health conditions using governance frameworks like SNOMED, MeSH, LOINC, and NLM. This solution streamlined clinical workflows, improved billing accuracy, and enhanced patient care.
The Challenge
- Extracting accurate entities from diverse, unstructured medical records.
- Classifying document types and predicting patient health conditions reliably.
- Integrating governance frameworks (SNOMED, MeSH, LOINC, NLM) for standardized clinical insights.
- Ensuring compliance with healthcare regulations while automating billing and insurance processes.
- Scaling the solution to handle large volumes of records without performance degradation.
Technology Stack
Deep Learning (OCR), NLP, Python, SNOMED, MeSH, LOINC, NLM
Outcome and Business Impact for the Client
- Improved Patient Care: Automated insights enabled faster, data-driven clinical decisions, enhancing patient outcomes.
- Billing Efficiency: Accurate ICD code extraction streamlined billing and insurance processes, boosting revenue.
- 80% Reduction in Manual Effort: Automation minimized manual record processing, freeing up clinicians’ time.
- High Accuracy: Achieved 95%+ accuracy in entity extraction and document classification.
Our Solution
Techversant’s AI engineering team developed a robust, automated platform through offshore expertise:
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Deep Learning OCRBuilt a deep learning-based OCR model to accurately extract entities from lab records, ensuring high precision in data capture.
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NLP-Driven Entity ExtractionUtilized core NLP techniques to classify document types and extract clinical patterns, enabling accurate health condition predictions.
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Rule-Based ArchitectureDeveloped an NLP-enabled rule-based system integrated with SNOMED, MeSH, LOINC, and NLM frameworks to extract ICD codes, supporting billing and insurance processes.
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Automation WorkflowCreated a fully automated assistant to streamline clinical data processing, reducing manual effort for doctors.
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Scalable InfrastructureDesigned the platform to handle high volumes of medical records with reliable performance and compliance with healthcare regulations.
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Testing & QualityConducted thorough unit testing to ensure platform reliability and performance.
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