Normalized claim
Quantified impact: 10%
The OCR system read over 700,000 prescriptions and served nearly 360,000 monthly requests, reducing call center contact friction and improving scheduling conversion rate by 10%.
Dasa Deploys OCR Platform Using Google Cloud's API Vision and Document AI for Prescription Digitalization in Brazil
Use case typeAI development platformUpdated Jun 13, 2026
Dasa, Brazil's largest integrated health network, implemented an OCR platform using Google Cloud's API Vision and Document AI to digitalize and automatically read digital and handwritten medical prescriptions, integrated with their Nav digital health platform. The solution was designed to improve patient experience by speeding up test and appointment scheduling, removing the need for manual entry of test names. The OCR platform has processed over 700,000 prescriptions with 97% of readings responding in under 15 seconds, serving 360,000 monthly requests, and improving scheduling conversion rates by 10%. This implementation reduces call center scheduling calls and enhances patient service and digital journey experience.
- Organization
- Dasa
- Industry
- Healthcare
- Location
- Brazil
- Published
- May 2026
Reported outcomes
15 seconds
quantified impactOther quantified impact
10%quantified impact97%quantified impact73%quantified impact5 secondsquantified impact
Strategic outcomes
Customer experience & trustImproved patient digital scheduling experienceNew product / capabilityAutomated prescription digitalization and schedulingCustomer experience & trustReduced call center scheduling frictionBetter decisions & insightAdvanced machine learning for personalized care
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Quantified impact: 97%
97% of OCR readings respond in under 15 seconds, with 73% under 5 seconds, significantly enhancing patient experience and digital healthcare journey.
Normalized claim
Quantified impact: 15 seconds
97% of OCR readings respond in under 15 seconds, with 73% under 5 seconds, significantly enhancing patient experience and digital healthcare journey.
Normalized claim
Quantified impact: 73%
97% of OCR readings respond in under 15 seconds, with 73% under 5 seconds, significantly enhancing patient experience and digital healthcare journey.
Normalized claim
Quantified impact: 5 seconds
97% of OCR readings respond in under 15 seconds, with 73% under 5 seconds, significantly enhancing patient experience and digital healthcare journey.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Dasa
- Provider
- GCP
- Maturity
- Production
- Linked source
- Google Cloud Customer Stories
Dasa deployed an OCR system using Google Cloud API Vision and Document AI integrated into their Nav digital health platform to automatically recognize handwritten and digital prescriptions
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1OCR
- 2Healthcare AI
- 3Patient Scheduling Automation
- Dasa needed to improve the patient experience by digitalizing medical prescriptions and accelerating appointment and test scheduling processes in a complex health network with multiple clinical units and providers.
- Managing a centralized data repository and leveraging machine learning for personalized care became a strategic priority as the company expanded through mergers and acquisitions.
- Dasa deployed an OCR system using Google Cloud API Vision and Document AI integrated into their Nav digital health platform to automatically recognize handwritten and digital prescriptions.
- The solution leverages Google Cloud’s machine learning platform, handling large-scale data processing and enabling quick, accurate text recognition to enhance scheduling operations.
- The system operates 24/7 directly connected to the patient-facing platform, allowing image capture of prescriptions to automate test and appointment scheduling.
Technologies
- The OCR system read over 700,000 prescriptions and served nearly 360,000 monthly requests, reducing call center contact friction and improving scheduling conversion rate by 10%.
- 97% of OCR readings respond in under 15 seconds, with 73% under 5 seconds, significantly enhancing patient experience and digital healthcare journey.
- The deployment helped Dasa advance machine learning modeling and explore generative AI tools for further patient experience improvement and customized healthcare service.
Sources & evidence2
Evidence: High75/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
- Multiple corroborating sources available
Type: Customer StoryPublished: May 9, 2026Publisher: Google Cloud Customer StoriesEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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