JondaX
JondaX is an AI-powered health data transformation engine that converts unstructured data from PDFs, images, and medical devices into standardized, machine-readable formats like HL7 and FHIR to ensure seamless healthcare interoperability.
Product Description
Product Overview
JondaX is a B2B, system-agnostic health data transformation engine designed to solve the global challenge of fragmented and unstructured medical data. Acting as a "power adapter" for healthcare IT systems, JondaX automates the extraction, harmonization, and standardization of clinical data from a wide array of sources—such as lab reports, legacy medical records, and wearables—into interoperable, AI-ready outputs. It bridges the gap between messy real-world data and structured standards, enabling developers, researchers, and healthcare providers to focus on clinical insights rather than manual data cleaning.
Product Highlights
Multiformat Input Support: Seamlessly ingests diverse data types including HL7 v2, FHIR, JSON, XML, PDFs, and scanned images (JPG, PNG, HEIC).
Semantic Interoperability: Features AI-assisted extraction and terminology standardization, including LOINC/SNOMED mapping and unit harmonization for blood biomarkers.
Multilingual Capabilities: Supports data processing in 10+ languages, including English, Spanish, French, German, Turkish, and Indonesian.
Privacy-First Architecture: Built for high security with a no-data-retention policy; fully compliant with global standards including GDPR, HIPAA, and PDPA.
Low-Code Integration: Designed as modular middleware that integrates into existing EHR, LIMS, or health-tech platforms without requiring a complete infrastructure overhaul.
Supported Cloud Infrastructure
JondaX is built for high scalability and global deployment. It is designed to be system-agnostic and can be deployed or integrated across all major cloud providers, including:
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
Alibaba Cloud
Huawei Cloud
Tencent Cloud
