How to Extract Vaccine Records and Send Data to Any Target
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| Workflow Name: |
Extract Vaccine Record and Send It to Any Target |
|---|---|
| AI Model Type: |
Vision / LLM |
| Model Provider: |
Goldfinch AI / OpenAI |
| Task Type: |
Medical Data Extraction |
| Input Type: |
PDF / Image |
| Output Format: |
JSON / CSV |
| Who Uses It: |
Healthcare Ops; HR Teams |
Table of Contents
Description
| Problem Before: |
Manual vaccine record entry |
|---|---|
| AI Solution: |
OCR + medical entity extraction |
| Validation (HITL): |
Random medical QA |
| Accuracy Metric: |
Entity accuracy % |
| Time Savings: |
90% faster processing |
| Cost Impact: |
Lower admin overhead |
Extract Vaccine Record and Send It to Any Target
This workflow enables Vaccine Record Extraction from PDFs or images using vision and LLM models.
Structured Medical Data Processing
The system captures immunization details, validates the extracted information, and delivers structured output in JSON or CSV to any target system. It helps healthcare operations and HR teams reduce manual effort, improve accuracy, and maintain reliable vaccination records.
Watch Demo
| Video Title: |
Sync real time data between any systems using WebSocket |
|---|---|
| Duration: |
3:50 |
Outcome & Benefits
| Accuracy: |
98% |
|---|---|
| Touchless Rate: |
85% |
| Time Saved: |
From 5m to 30s/record |
| Cost Saved: |
$0.45 per record |
Functional Details
| Business Tasks: |
Vaccine verification; compliance |
|---|---|
| KPI Improved: |
Processing speed; accuracy |
| Scheduling: |
Batch / On-demand |
| Downstream Use: |
Datalake / HR Systems |
Technical Details
| Model Name/Version: |
GPT-4o-mini Vision |
|---|---|
| Hosting Type: |
Secure Cloud API |
| Prompt Strategy: |
Medical schema prompts |
| Guardrails: |
PHI masking; access control |
| Throughput: |
60 records/min |
| Latency: |
~3s/record |
| Data Governance: |
HIPAA-aligned handling |
FAQ
1. What is the Extract Vaccine Record and Send It to Any Target workflow?
It is an AI-powered workflow that uses vision and LLM models to extract structured vaccination data from vaccine records and send it to any target system.
2. How does the workflow work?
The workflow ingests vaccine records in PDF or image format, applies vision and LLM models to extract medical data, structures the information, and exports it in JSON or CSV format to the configured target.
3. What information can be extracted from vaccine records?
It can extract details such as patient or employee name, vaccine type, dose number, administration date, manufacturer, lot number, and administering provider, based on document availability.
4. How is medical and personal data handled securely?
The workflow applies data privacy controls such as access restrictions, encryption, and masking to support healthcare compliance requirements and protect sensitive personal and medical information.
5. What is the output of the workflow?
The extracted vaccine data is output in JSON or CSV format and can be sent to systems such as EHRs, HR platforms, compliance systems, or Datalakes.
6. Who uses this workflow?
Healthcare Operations Teams and HR Teams use this workflow to automate vaccination record processing, reporting, and compliance tracking.
7. What are the benefits of automating vaccine record extraction?
Automation reduces manual data entry, improves data accuracy, accelerates compliance reporting, and enables seamless integration with downstream healthcare and HR systems.
Resources
Case Study
| Industry: |
Healthcare / Enterprise |
|---|---|
| Problem: |
Slow health record processing |
| Solution: |
AI medical document extraction |
| Outcome: |
Faster compliance checks |
| ROI: |
2-month payback |
