Bloodwize

Healthcare / AI Assistant2025

Healthcare platform with an AI assistant that transforms blood report interpretation for doctors and clinics.

Using advanced OCR, NLP, and medical knowledge bases to provide instant insights, trend analysis, and clinical decision support that improves diagnostic accuracy and patient care.

Platform Showcase

Bloodwize Landing Page

Landing Page

Bloodwize Report Analysis Interface

Report Analysis View

Bloodwize Extracted Markers Interface

Extracted Markers View

Project Overview

The Challenge

Blood reports are at the heart of modern diagnostics, yet interpreting them remains a time-consuming process for doctors:

  • Doctors spend valuable consultation time scanning raw lab values
  • Reports present numbers without system-level insights
  • Tracking changes across multiple reports is tedious and error-prone
  • Clinics need reliable tools to process patient records at scale

Our Solution

We developed the Bloodwize Engine - an AI-powered assistant:

  • Upload/ingest reports from PDFs, images, or lab integrations
  • Extract text using OCR and NLP models
  • Identify biomarkers and run evaluations against reference ranges
  • Generate structured assessments with red flags and trendlines

How It Works in Practice

Real-World Clinic Scenario

When a patient arrives with multiple blood reports, the doctor uploads them into Bloodwize. Within seconds, the AI assistant provides:

  • Highlights: Abnormal values and combinations that need attention
  • Trend Analysis: Changes in markers over time with visual indicators
  • System Insights: Correlations between biomarkers indicating possible conditions
  • Summarized Output: Concise, doctor-ready assessment to support decision-making

Value Delivered

Time efficiency: Doctors spend less time parsing raw data
Improved accuracy: Automated detection of patterns reduces oversight
Patient clarity: Summaries improve doctor-patient communication
Scalability: Enables clinics to handle more patients efficiently

Our Process

Healthcare Research & Analysis

Conducted extensive research with doctors and clinics to understand blood report interpretation workflows and identify pain points in the diagnostic process.

AI Engine Development

Built the Bloodwize Engine with OCR, NLP models, and medical knowledge bases to process reports and generate structured assessments with clinical insights.

Clinic Integration

Created seamless integration with existing clinic workflows, ensuring doctors can upload reports and receive insights without disrupting their consultation process.

Testing & Deployment

Conducted comprehensive testing with medical professionals, validated accuracy against clinical standards, and deployed with continuous monitoring and support.

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