The Client Project
A healthcare provider needed to modernize the way medical documents were processed, classified, and mapped into its EMR system.
Manual review workflows were slowing operations, increasing administrative overhead, and creating inconsistencies in quality reporting across patient records.
ClickIT deployed an AI-based NLP solution. It automated document classification and data extraction with over 90% accuracy. This reduced manual work and improved EMR reporting accuracy. It also enabled faster quality reporting across clinical operations.
Requirements
High Accuracy Document Parsing
Develop an AI system capable of scanning and interpreting medical documents with over 90% accuracy in text recognition and data extraction.
Correct Field Mapping
Ensure the data extracted from documents is mapped to the correct patient record and field in the EMR’s reporting dashboard.
Reduced Human Workload & Error
By taking over repetitive tasks, the AI would free up staff from mundane data entry and eliminate the inconsistencies with tired or rushed staff performing manual labeling.
Transparency and Auditability
Provide clear documentation and logs for each processed document. It was important that every step the AI took could be traced and reviewed if needed.
Implemented Service
Intelligent OCR with AWS Textract
AWS Textract is used for the engine to extract text from scanned and faxed document images. Textract is a HIPAA-eligible machine learning service that can “analyze virtually any document” (forms, tables, etc.) and pull out printed text without predefined templates.
Custom NLP Classification
Developed bespoke NLP models to detect key health terms and classify document types (e.g. distinguishing an immunization record from a lab result or consult note). These models were trained on the clinic’s data to recognize context and terminology unique to healthcare documents.
Serverless Automation
Built AWS Lambda functions and API endpoints to orchestrate the workflow. As soon as a document is uploaded, the system triggers OC
Our Tech Stack
AWS Textract
AWS Lambda
PHP
Python
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The Results
ClickIT helped eliminate time-consuming manual document workflows by automating medical record classification and EMR reporting with AI-powered NLP.
- Reduced administrative burden across clinical operations
- Improved reporting accuracy with automated EMR field mapping
- Accelerated quality reporting and audit preparation workflows
- Increased operational efficiency by minimizing repetitive manual tasks
- Enabled staff to spend less time processing paperwork and more time supporting patient care
The new AI-driven workflow provides a scalable foundation for faster, more accurate, and more efficient healthcare operations.