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Pana: AI-Powered Healthcare Efficiency Platform

Project Overview

Pana (short for panacea), represents the vision of a true remedy for all challenges in healthcare, both clinical and operational. It is an AI-powered medical co-pilot designed to be more than just a system, it aspires to become the next evolution beyond Sunrise Clinical Manager (SCM) and even Epic.

Pana is a shift toward "AI-enhanced, not AI-decided" healthcare, amplifying human expertise through intelligent automation. Welcome to the future of healthcare!

Problem Statement

Healthcare worker burnout increased from 25% to 39% during the pandemic, primarily due to longer working hours and staff shortages. Traditional solutions of reducing hours and adding staff don't address the core efficiency issues, similar to Brook's Law in software engineering.

Solution

Pana provides intelligent automation and decision support through:

Voice-to-text transcription for consultation documentation
Smart SOAP documentation with auto-completion and template-based field population
Real-time validation and error detection
Evidence-based treatment recommendations based on patient assessment
Automated ordering through treatment plans
Proactive monitoring with automatic alerts

Impact

Singapore’s current investment in electronic health records (EHR) highlights both the scale of opportunity and the potential for cost savings. The Ministry of Health is committing about $1.5 billion over 10 years to roll out the Epic-based Next Generation Electronic Medical Record (NGEMR) across the public healthcare sector.

This significant expenditure underscores the value of exploring leaner, more adaptive alternatives. If Pana can deliver comparable or superior functionality at even 20 to 30% lower cost, Singapore could save hundreds of millions of dollars.

By investing in Pana, Singapore would gain a more agile, cost-efficient, and tailored platform, ensuring higher returns on every healthcare dollar spent. Looking ahead, Pana also holds the potential to scale globally and redefine the EHR landscape.