$0M
spent annually per hospital on interoperability and interface engines alone
Healthcare integration platform in Python
Connect clinical, administrative and financial systems through one open-source integration platform
Open source, in Python, built for hybrid environments with HL7, FHIR, EDI and AI
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Legacy systems and integration complexity hold your health system back
0%
of US hospitals still running HL7 as dominant production traffic, with only a fifth routinely using FHIR
$0M
average cost of a healthcare data breach, the costliest industry for 15 consecutive years
Overview
Modernize the healthcare integration layer
- From siloed legacy systems to unified clinical operations
- From vendor lock-in to open architecture
- From batch HL7 pipes to real-time FHIR data exchange
This is the path forward for health systems ready to break free from decades of integration complexity
Read case studiesTurn integration complexity into competitive advantage
Unify clinical, administrative and financial systems through one integration layer - from HL7 messaging to AI-powered analytics. Focus on innovation, forget frustration.
Build a data-driven health system powered by AI
Give clinicians, researchers and AI agents governed access to every system through one integration layer. RAG pipelines, predictive analytics, MCP-based APIs - one platform makes every AI initiative possible instead of a separate integration project for each one.
Maintain control with enterprise-grade security
Keep patient data within your security perimeter. Control who accesses what, monitor every integration in real time, and meet regulatory requirements without scrambling for documentation.
HL7 and FHIR interoperability
Native HL7 and FHIR support to parse and route clinical messages, normalize vendor-specific profiles, and bridge pipe-delimited HL7 v2 feeds and modern FHIR APIs using Open Source and Python
Clinical operations
Integrate EHR, laboratory, imaging, pharmacy and medical device systems, automate order messaging and result delivery, and connect bedside telemetry to clinical workflows
AI and automation
Give AI agents governed access to clinical data through MCP-based APIs, build RAG pipelines over clinical stores, route ambient documentation, and orchestrate AI workflows with full audit trails
Health information exchange
Connect providers, payers, labs, pharmacies and public health agencies, match patient identities across organizations, and enable cross-border data sharing
Revenue cycle and prior authorization
Process EDI transactions, automate prior authorization workflows, connect to clearinghouses, and reduce claim denials through accurate data exchange
Cloud and hybrid operations
Bridge on-premises EHR cores with cloud-based FHIR stores, govern data across multi-cloud environments, and migrate clinical systems without disrupting operations
Customer Spotlight
"We chose to build the application with Zato because the platform makes it easy to connect to multiple systems and it was a natural fit to communicate with our PJM Global IoT solution."
"Zato scored 100% in the benchmarking evaluation for a national health information exchange system supporting 117 million people and 44,000+ health facilities."
"Zato is our go-to solution now for developing products requiring integrations with other systems in healthcare and IoT."
"We recommend Zato to other governments with similar digital transformation goals and challenges."
Schedule a meaningful demo
Book a demo with an expert who will help you build meaningful systems that match your ambitions
"We evaluated 12 integration platforms and Zato was the only one to score 100%."
Philip Zuñiga, Assistant Professor, University of the Philippines
Connect to anything, integrate everything
ESB, API, AI and Cloud Integrations in Python
Open-source total product with enterprise support
To book a demo, click here ➤
For professional services, click here ➤
Developer? Click to visit the documentation ➤
Solving complex challenges? Read case studies ➤