Overview
Our client, a healthcare provider, approached Banao Technologies to develop a solution that could condense long patient records into concise, actionable summaries. The goal was to help doctors make faster decisions without compromising accuracy, particularly in high-pressure medical scenarios.
Industry
HealthcareBusiness type
Enterprise
Services
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Impact After Launch
The solution transformed the client’s emergency response workflow, allowing doctors to quickly access critical insights from patient records. It reduced the time spent reviewing documents while improving overall clarity and decision-making speed.
Leveraging AI-powered NLP, we achieved
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faster diagnosis times,
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improved clarity for on-call specialists, and
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reduced hospital readmission rates
Challenge
The client’s medical staff were spending excessive time reviewing lengthy patient histories, which delayed diagnosis and treatment decisions, especially in emergency situations.
Our Solution
We designed an NLP-driven AI system that automatically parses and summarizes complex medical records using medical ontologies and contextual understanding, helping the client’s doctors focus on patient care instead of documentation.
Features Implemented:
- Recognition of medical standards (SNOMED, ICD-10)
- Entity linking and cross-document reference resolution
- Priority-based summarization of key sections
- Support for multiple document formats (PDF, EHR, scanned records)
Key Features Implemented
The summarizer uses advanced AI to extract essential insights and improve efficiency in handling medical records.
Medical Terminology Recognition
Understands and standardizes medical vocabularies like SNOMED and ICD-10 for accurate context.
Entity Linking & Context Awareness
Connects related data across documents, maintaining continuity in patient histories.
Priority-based Summaries
Focuses on critical sections such as diagnosis, treatment, and medication history.
Multi-format Compatibility
Processes PDFs, EHR exports, and scanned reports seamlessly for the client’s workflow.
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Frequently Asked Questions
How did this solution help the client improve diagnosis speed?
By generating concise summaries of patient histories, doctors could quickly focus on critical information, accelerating the diagnosis and treatment process.
Which medical standards are supported?
The system integrates SNOMED and ICD-10 standards to ensure clinical accuracy and consistency.
Can it handle different medical record formats?
Yes, it supports PDFs, EHR exports, and scanned records for seamless integration into the client’s existing workflow.
What measurable benefits did the client experience?
The client reported over 50% faster diagnosis times, 18% fewer readmissions, and improved clarity for on-call medical staff.