PatientLens AI.
Automating hospital discharge summaries with AI
Introduction
Discharge summaries explain a hospital stay, the medicines, and what happens next. Writing them by hand took clinicians 30 to 60 minutes, and the quality varied. Patient Lens AI drafts that summary for review.
The Challenge
Discharge summaries affect every hospital admission. A single busy hospital might produce hundreds per week. The current process typically involves clinicians manually compiling notes, lab results, medication lists, and treatment summaries into structured documents, a process that takes 30-60 minutes per summary and introduces variability in quality and completeness.
Inconsistent discharge documentation creates real risks: missing medication instructions, incomplete follow-up recommendations, and documentation gaps that affect both patient safety and hospital compliance.
Our Solution
As an in-house product, we managed the complete product lifecycle: product strategy researching hospital discharge workflows and clinician pain points; AI-powered summary generation ingesting patient data and generating structured summaries; intuitive clinical interface designed for clinicians with zero patience for complicated software; branding and identity with clean, clinical visual identity; web application development with secure data handling and hospital system integration; and workflow optimization with the system learning from approved summaries over time.
The Roadmap
Building a strong brand involves moving through defined stages.
Upload Scans
Case sheets, reports, or notes from any department are securely uploaded to the platform.
AI Extraction
Advanced OCR and LLM models auto-capture diagnosis, history, treatment, and advice from medical documents.
Summary Generated
AI generates a draft discharge summary in under 10 minutes for human review.
Doctor Review
MTs and doctors collaboratively refine the summary using an intuitive review panel.
Export Summary
Final document exported as NABH-compliant, legally valid discharge document.
AI-Powered Efficiency
The platform uses trained LLMs specifically for medical document understanding, achieving ≥95% accuracy in extracting patient information from various document formats and handwriting styles.
Compliance & Security
Built with enterprise-grade security including AES-256 encryption, TLS 1.2+ in transit, role-based access controls, and NABH, ISO 27001, SOC2 compliance certifications.
Key Outcomes
Clinical documentation has always been one of the biggest administrative burdens in healthcare. PatientLens AI has fundamentally changed that. By generating structured discharge summaries that clinicians simply review and approve, we've significantly reduced documentation time while maintaining consistency and compliance. It gives healthcare professionals more time where it matters most: with their patients.
Kawman ExAct.
Let's build something
that works.
Tell us what you're building. We'll outline a clear roadmap to bring it to life — no pitch, just honest direction.