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readabl.ai

Extract and route healthcare information from faxes, scans, and documents using AI and NLP, with EHR integration.

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Overview

readabl.ai is a cloud-based medical document automation solution developed by Healthcare Triangle (HCTI). It is designed for healthcare organizations that receive high volumes of faxes, scanned documents, and unstructured text, and need to extract, categorize, and route patient and clinical information efficiently. The solution uses artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to convert document images into structured healthcare data and integrate that data with electronic health records (EHRs) and other systems.

Despite widespread adoption of EHRs, paper documents and faxes remain a common method of sharing patient information across the healthcare system. readabl.ai addresses this by automating document intake, identification, and routing, reducing manual labor requirements and accelerating processing times. The platform is built on public cloud infrastructure, which allows its AI and language processing models to evolve continuously.

Performance Benchmarks

  • Documents processed in under 3 minutes
  • Up to 99% accuracy using the latest AI and language processing models
  • Automatic categorization and patient identification for over 80% of documents
  • Approximately one-third reduction in effort per document

How readabl.ai Works

  • Converts document images such as faxes and scans into readable text using optical character recognition capabilities
  • Identifies discrete data elements within documents using NLP to understand context
  • Supports a human-in-the-loop review process when recognition or extraction confidence falls below required thresholds
  • Integrates with EHRs and other systems to support patient matching, workflow integration, and data validation

Key Features

  • Meets or exceeds security standards for handling Protected Health Information (PHI), including HIPAA and HITRUST compliance
  • Web browser-based interface requiring no software installation on workstations
  • Integration with EHRs and other key applications via FHIR APIs or HL7
  • Single sign-on (SSO) support
  • Support for both centralized and decentralized document processing workflows, with location-based access assignment
  • Each customer is deployed in a segregated Virtual Private Cloud (VPC) environment
  • All data encrypted in motion and at rest, with audit logs maintained for all activities

Supported Document Types

  • Medical claims
  • Outside results
  • Referrals and orders
  • Vaccination records
  • Prescription refills
  • Medical forms
  • Legacy system archiving

Pricing and Implementation

  • Billed on a per-page-processed basis each month, allowing costs to scale with document volume
  • A one-time startup fee covers environment setup and model training for each customer
  • Typical implementation timeline is 90 days, varying based on scope and complexity
  • Customizations are available within each customer's private cloud environment and may affect pricing

Hardware and Access Requirements

  • A small on-premises virtual server is required to monitor and process files delivered to network folders
  • Access requires only a computer with a modern web browser; no workstation software installation is needed
  • Currently optimized for desktop computer use

readabl.ai is available directly through Healthcare Triangle (HCTI) and on the Google Cloud Marketplace. Support is provided via email and phone during US business hours, with on-call support available after hours. Training is offered through virtual classes and documentation, with optional on-site training available. A Business Associate Agreement (BAA) is entered into between the customer and HCTI to support PHI handling requirements.

Meta

Domain
Clinical & Health Data Management
Subdomain
Clinical Terminology & Interoperability
Software type(s)
Workflow Automation
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
PharmaBiotechDiagnostics / IVD
Development stage(s)
ClinicalPost-Market & RWE
Target user(s)
Lab Manager / Core Facility ManagerClinical / Diagnostic ProfessionalIT / Systems Admin / Data Engineer
Compliance standard(s)
HIPAA
Tag(s)
Uses AI