Healthsage AI is a healthcare-focused artificial intelligence platform designed to enhance financial performance by improving clinical documentation, diagnosis capture, and coding accuracy. It empowers hospitals and provider groups to identify missed revenue opportunities, close coding gaps, and stay audit-ready with real-time insights and automation.
The platform works by analyzing both structured and unstructured data from electronic health records (EHRs), surfacing hidden or undocumented diagnoses and enabling CDI (Clinical Documentation Improvement) and coding teams to act before discharge. Healthsage AI reduces manual chart review, enhances risk adjustment accuracy, and supports quality and compliance initiatives across the revenue cycle.
Features
Healthsage AI offers a wide range of features tailored to hospital revenue cycle and documentation workflows:
AI-Driven Diagnosis Identification: Detects missing or under-documented diagnoses using clinical and coding data.
Real-Time Clinical Documentation Review: Flags documentation gaps during patient stay to enable early intervention.
Structured + Unstructured Data Analysis: Extracts insights from progress notes, vitals, labs, and physician narratives.
Risk Adjustment Optimization: Identifies opportunities to improve HCC and RAF scoring in value-based care.
Compliant Documentation Suggestions: Aligns with CMS and coding standards to reduce audit risk.
EHR Integration: Works alongside existing hospital systems for real-time data ingestion and feedback.
User-Friendly Dashboard: Presents CDI and coding opportunities in a clear, actionable format.
Audit Readiness Tools: Tracks all documentation changes, user actions, and compliance indicators.
Automated Workflow Prioritization: Surfaces high-value cases and tasks to optimize staff productivity.
Data Security & HIPAA Compliance: Ensures full privacy and security for patient health information.
How It Works
Healthsage AI functions as an intelligent assistant to CDI, coding, and revenue integrity teams. Here’s how it typically operates:
Data Collection: The platform ingests patient records in real time from the EHR, including structured data (diagnoses, vitals, medications) and unstructured data (progress notes, consults).
AI Analysis: Proprietary AI models analyze the records to identify clinical indicators that suggest additional or undercoded diagnoses.
Opportunity Surfacing: The system alerts CDI and coding teams about potential opportunities to update documentation before discharge.
User Review & Action: Teams review AI-generated suggestions through an intuitive interface and validate them with physicians as needed.
Documentation Update: Once confirmed, documentation is updated in the EHR, improving diagnosis accuracy, coding specificity, and reimbursement.
This closed-loop process ensures revenue isn’t lost due to incomplete documentation or missed conditions, all while reducing manual workload.
Use Cases
Healthsage AI supports a variety of high-impact use cases across inpatient and revenue cycle workflows:
Clinical Documentation Improvement: Surface missed or unclear diagnoses for more accurate DRG and HCC assignment.
Inpatient Coding Accuracy: Help coders and CDI teams document the full clinical picture to reduce denials.
Risk Adjustment for Value-Based Care: Optimize RAF scores to align reimbursement with patient complexity.
Revenue Recovery: Identify revenue leakage caused by documentation gaps or coding oversights.
Audit Preparation: Ensure all documentation changes are tracked, justified, and regulation-ready.
CDI Workflow Automation: Reduce manual chart review by surfacing top-priority cases automatically.
Pricing
Healthsage AI does not disclose pricing publicly on its website. Pricing is provided through custom enterprise agreements, which depend on factors such as:
Size and type of healthcare organization
Number of inpatient beds or encounters per year
EHR integration requirements
Number of CDI and coding users
Support, training, and deployment complexity
Organizations can request a tailored demo and pricing proposal through the Healthsage AI contact page.
Strengths
Healthsage AI delivers several strengths for healthcare finance and documentation teams:
Improves revenue integrity by capturing missed conditions
Reduces manual workload through automated AI detection
Enhances coding accuracy across DRG, HCC, and inpatient workflows
Delivers value for both fee-for-service and value-based care models
Supports compliance with audit-ready tracking and documentation
Flexible integration with major EHR platforms
Enables real-time intervention before discharge
Easy-to-use interface for CDI and coding teams
Drawbacks
While Healthsage AI is a powerful tool, some limitations include:
No publicly available case studies or performance metrics
Not yet reviewed on platforms like G2 or Capterra
Requires IT coordination for data integration
Focused primarily on inpatient and coding workflows—not outpatient
Success depends on alignment with CDI and provider workflows
Comparison with Other Tools
Healthsage AI competes in the clinical documentation and revenue optimization space alongside platforms like:
SmarterDx: Offers real-time diagnosis detection with strong EHR integration; both solutions focus on inpatient CDI.
3M 360 Encompass: Comprehensive CDI platform with legacy market presence; may involve more manual work.
Optum CDI 360: Large-scale CDI platform with analytics focus; less flexible for real-time diagnosis suggestions.
Clinithink: Uses NLP to extract data from clinical notes but is less focused on coding accuracy and revenue optimization.
Healthsage AI distinguishes itself through its real-time AI analysis, risk adjustment optimization, and lightweight, user-friendly implementation designed for modern hospital workflows.
Customer Reviews and Testimonials
At this time, Healthsage AI does not feature third-party reviews on software marketplaces. However, their website references adoption by hospitals and revenue cycle teams, emphasizing ROI, workflow efficiency, and audit resilience.
Reported customer benefits include:
“Captured millions in compliant revenue we were missing.”
“Reduced our CDI team’s manual chart review workload by over 30%.”
“Helped us identify gaps we didn’t know existed.”
Conclusion
Healthsage AI offers a smart, targeted solution to one of healthcare’s most persistent problems: incomplete or inaccurate documentation that leads to lost revenue and audit exposure. By leveraging AI to surface missed diagnoses, coding opportunities, and risk adjustment gaps, the platform empowers hospitals to strengthen both their financial and clinical performance.
With seamless EHR integration, real-time alerts, and user-friendly tools for CDI and coding teams, Healthsage AI reduces administrative burden while increasing documentation accuracy and audit preparedness. For hospitals aiming to thrive in today’s complex payment landscape, Healthsage AI provides an intelligent, scalable path to revenue integrity.
