HealthSage AI
Revolutionize healthcare with AI: secure, customizable, resource-efficient.. [Contact for Pricing]
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What is HealthSage AI?
HealthSage AI is an open Agentic AI platform dedicated to healthcare that enables healthcare providers to automate administrative tasks and unlock clinical insights from unstructured medical data. The platform orchestrates Large Language Models and applications from multiple vendors in a secure, vendor-neutral environment that integrates with existing hospital IT systems like EHRs. It transforms unstructured clinical notes into structured formats like FHIR, SNOMED-CT, and ICD-10, making approximately 80% of healthcare data (which exists as free text) usable for analysis and interoperability.
Key features include the Smart Problem List agent that automatically extracts diagnoses, procedures, and observations from patient documentation and adds them to EHR problem lists with SNOMED CT coding; No-show prediction that identifies patients at risk of missing appointments; Clinical Data Transformer that structures unstructured medical data; Visit Preparation that creates automated pre-visit summaries in EHRs; and Patient 360 that consolidates fragmented patient information into a unified overview. The platform offers a single API for integrating all AI applications into hospital information systems.
The platform is designed for hospitals, healthcare providers, clinics, physicians, nurses, and healthcare IT departments who want to reduce administrative burden, improve patient care quality, enhance data interoperability, and focus more time on patient care rather than documentation. It is particularly valuable for organizations in the Netherlands, Belgium, and EU markets where it complies with local patient data regulations.
HealthSage AI's LLMs are specifically trained on high-quality real-world medical data including manually curated patient notes from different specialties, and validated by certified healthcare professionals including doctors and researchers. The models are available in Dutch, Flemish, and English, with the platform being cloud-agnostic and available as SaaS or on-premise deployment.
HealthSage AI pricing
Pricing model: Freemium
HealthSage AI offers flexible pricing options tailored to different organizational needs and sizes. Basic features may be available at no cost, but full access to all features requires a subscription. The website does not disclose specific public pricing tiers or amounts. Contact via [email protected] is required for commercial licensing options and custom enterprise pricing. The platform is available as SaaS or on-premise deployment in your existing cloud environment. Pricing is customized based on organization size and specific healthcare facility needs.
HealthSage AI pros
- Open vendor-neutral platform for all AI solutions without vendor lock-in
- Automates administrative tasks reducing clerical burden on healthcare professionals
- Smart Problem List achieves 93% accuracy and 95% SNOMED CT coding accuracy
- Transforms unstructured clinical data into structured FHIR, SNOMED-CT, and ICD-10 formats
- Integrates seamlessly with existing EHR and hospital IT systems via single API
- Data remains yours - models never trained on customer data unless in co-development program
- ISO 27001 and NEN 7510 certified for information security
- Complies with EU patient data regulations with data always handled in EU
- Models developed and validated by certified healthcare professionals including doctors
- Cloud-agnostic deployment available as SaaS or on your own cloud/environment
- Sustainable models come in different sizes minimizing environmental impact
- Reduces missed appointments through no-show prediction improving capacity utilization
- Patient 360 provides unified overview of all fragmented patient information
- Visit preparation saves time with automated pre-visit summaries in EHR
- Access to curated model library with latest AI models continuously updated
- Clinical validation across 7 medical specialties with 90% completeness
HealthSage AI cons
- Models only available in Dutch, Flemish, and English - limited language support
- Note-to-FHIR Beta model not validated for clinical use yet
- Commercial pricing details not publicly disclosed - requires contacting for quotes
- Primarily focused on EU market with commercial availability in Netherlands and Belgium
- Requires integration with existing hospital IT systems which may be complex
- Only 10 FHIR resource types supported in current Beta version
- Some features require subscription with no clear free tier details available
- Model requires existing healthcare infrastructure and EHR system to be useful
Frequently asked questions about HealthSage AI
What is HealthSage AI?
HealthSage AI is an open Agentic AI platform for healthcare that enables healthcare providers to automate administrative tasks and unlock clinical insights. It orchestrates Large Language Models and applications from multiple vendors in a secure, vendor-neutral environment that integrates with existing hospital IT systems like EHRs. The platform transforms unstructured clinical data into structured formats like FHIR, SNOMED-CT, and ICD-10.
Who is HealthSage AI for?
HealthSage AI is designed for hospitals, healthcare providers, clinics, physicians, nurses, and healthcare IT departments. It is particularly valuable for organizations that want to reduce administrative burden on clinical staff, improve patient care quality, enhance data interoperability, and enable caregivers to focus more on patient care rather than documentation.
What languages are the models available in?
The models are available in Dutch, Flemish, and English. More languages are coming soon. The Note-to-FHIR model specifically is trained to process English and/or Dutch clinical notes, with the 8x7b version supporting Dutch language.
Is my patient data safe with HealthSage AI?
Yes, HealthSage AI prioritizes data security. Your data remains yours and the model will never be trained on your data unless you join the co-development program. The platform is ISO 27001 and NEN 7510 certified for information security, uses end-to-end encryption, complies with EU patient data regulations, and always handles data within the EU with continuous monitoring and updates.
How does the Smart Problem List agent work?
The Smart Problem List agent automatically extracts diagnoses, procedures, and observations from patient documentation and adds them to the EHR problem list with standardized SNOMED CT codes. It was clinically validated with ZAS Hospital achieving 90% completeness, 93% accuracy, and 95% SNOMED CT coding accuracy across 7 medical specialties. It automatically identifies which elements are missing from problem lists.
What is the Clinical Data Transformer?
The Clinical Data Transformer transforms approximately 80% of healthcare data that consists of unstructured free text into structured, codified formats such as FHIR, SNOMED-CT, and ICD-10. This drastically increases data potential, turning unusable information into valuable insights for improved interoperability, enriched datasets for medical research, and optimized clinical trial registration.
How does no-show prediction work?
The no-show prediction model, originally developed by UMC Utrecht, identifies patients most at risk of missing their appointments and enables clinics to offer timely support. This prevents no-shows, resulting in fewer missed appointments, shorter waiting lists, better capacity utilization, smoother clinic operations, and reduced missed hospital income. It is now available as a service on the HealthSage AI platform.
Can I deploy the models on my own infrastructure?
Yes, the platform is cloud-agnostic and runs seamlessly across various cloud environments. It is available as SaaS ordeployable on your own cloud/existing environment. Models can also be deployed in your existing hospital IT environment, providing flexibility for organizations with specific deployment requirements.
How are the models trained and validated?
The models undergo rigorous training and validation: medical professionals manually annotated large volumes of patient records, models were trained on this extensive dataset and evaluated multiple times for specific applications, and finally validated by physicians to ensure accuracy, consistency, and transparency. The models are trained on large volumes of medical literature and manually curated patient notes from different specialties.
How do I get started with HealthSage AI?
To get started, visit the HealthSage AI website and sign up for an account. Customize the platform to fit your healthcare facility's needs by setting up user permissions and data access. Integrate HealthSage AI with your existing healthcare systems using the single API and upload necessary patient data. For commercial licensing options, contact [email protected]. You can also join their co-development program to create a unique version trained on your organization's data.