HealthSage AI

Optimize clinical workflows and reduce administrative burden using an open AI platform that automates problem lists, visit summaries, and medical data coding.

Paid data transformation

About HealthSage AI

HealthSage AI is an open, agentic AI platform designed specifically for the healthcare sector to address the fragmentation of medical data and the increasing administrative load on clinical staff. It provides a vendor-neutral environment that allows healthcare providers to orchestrate multiple AI agents and large language models (LLMs) within their existing IT infrastructure. The platform's primary goal is to transform unstructured clinical data into actionable patient insights, ensuring that physicians and nurses can focus more on patient care rather than documentation. By acting as a secure bridge between complex hospital information systems and advanced generative AI, it facilitates a more data-driven approach to modern medicine. The platform features a suite of specialized applications, including a Smart Problem List that keeps patient records current by extracting diagnoses and procedures from clinical reports using SNOMED CT and ICD-10 coding. Another tool, the Clinical Data Transformer, uses standards like FHIR to unlock insights from vast amounts of unstructured text. For operational efficiency, the No-show Prediction application helps manage appointment attendance, while Visit Preparation automates the generation of pre-visit summaries. These tools are powered by LLMs that are trained on high-quality real-world medical data and validated by healthcare professionals, ensuring high clinical accuracy and relevance. HealthSage AI is primarily intended for hospitals, academic medical centers, and healthcare networks looking to integrate AI without being locked into a single vendor's ecosystem. It serves roles such as Chief Medical Information Officers (CMIOs) who need to improve data quality, as well as frontline clinical staff who benefit from reduced manual entry. Because the platform is cloud-agnostic and designed with EU privacy and security standards at its core, it is particularly suitable for organizations that must comply with strict regulations like GDPR and the EU Artificial Intelligence Act. What distinguishes HealthSage AI from generic AI solutions is its deep vertical focus on healthcare safety and regulatory compliance. Unlike general-purpose models, HealthSage AI’s models are specifically tuned for medical tasks, demonstrated by a 98% accuracy rate in ICD-10 coding compared to 80% with manual methods in some clinical settings. The platform ensures that patient data remains the property of the healthcare provider and is never used to train the base models without explicit consent. By offering an open, agentic architecture, it allows for the secure hosting and deployment of multiple models from different providers, providing flexibility that proprietary, closed-loop systems cannot match.

HealthSage AI pros & cons

Pros

Achieves 98% accuracy in ICD-10 coding compared to 80% with manual coding.
Fully compliant with EU-specific regulations including GDPR and the EU AI Act.
Vendor-neutral architecture allows for the orchestration of agents from multiple providers.
Certified with ISO 27001 and NEN 7510 for high-level information security.
Reduces administrative burden by automating time-consuming pre-visit and documentation tasks.

Cons

Pricing is not transparent and requires contacting the company for a custom quote.
Access to the platform is limited and requires a manual demo booking process.
Heavy focus on EU regulations may lead to overhead for organizations outside that jurisdiction.

HealthSage AI use cases

Chief Medical Information Officers can implement the Smart Problem List to automate real-time extraction and coding of diagnoses from reports.
Frontline physicians and nurses can use automated visit preparation to generate patient summaries, saving time during clinical rounds.
Hospital administrators can utilize the no-show prediction model to optimize appointment scheduling and improve resource utilization rates.
Data researchers can use the Clinical Data Transformer to convert unstructured medical notes into structured FHIR-compliant data for analysis.

HealthSage AI features

ehr integration
snomed ct/icd-10 mapping
eu data sovereignty
vendor-neutral ai platform
visit preparation
clinical data transformer
no-show prediction
smart problem list

HealthSage AI pricing

Is HealthSage AI free? No, HealthSage AI doesn't offer a free plan.

Custom Enterprise

Price varies

Smart problem list automation
No-show prediction tools
Clinical data transformer
EHR integration
EU-based data processing
Agentic AI orchestration
SNOMED CT and ICD-10 coding
ISO 27001 certified security
Custom model training
Dedicated support

HealthSage AI FAQs

Which medical data standards does the platform support?

The platform is built to work with industry-standard protocols including FHIR, SNOMED CT, and ICD-10 to ensure interoperability and precise clinical coding.

How does the platform ensure data privacy and compliance?

HealthSage AI is ISO 27001 and NEN 7510 certified, complies with GDPR, and adheres to the EU Artificial Intelligence Act, with all data processing occurring within the EU.

Does HealthSage AI integrate with existing Electronic Health Records (EHR)?

Yes, the platform is designed for easy integration with standard hospital IT systems and Electronic Health Records to automate documentation directly within existing workflows.

Is my clinical data used to train the platform's base models?

No, your data remains yours and the models are never trained on your data, ensuring full ownership and confidentiality of patient records.

What is the accuracy rate of the clinical coding features?

In clinical trials, the model achieved a 98% accuracy rate for correct ICD-10 coding, significantly outperforming the 80% manual coding accuracy recorded by healthcare staff.

Ratings & reviews

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