CleverHealth.ai is a clinical AI copilot designed to automate and enhance medical documentation. Using cutting-edge natural language processing and healthcare-specific AI models, the platform helps healthcare professionals generate SOAP notes, clinical summaries, visit overviews, and patient-facing instructions directly from their natural speech or written notes.
The platform is purpose-built for real-world clinical environments, addressing the pain points of manual documentation, note inconsistencies, and fragmented workflows. CleverHealth.ai works alongside providers during or after patient visits, turning conversations into structured notes while complying with clinical standards.
Features of CleverHealth.ai
CleverHealth.ai offers a robust set of features tailored specifically to the needs of medical professionals:
AI-Generated SOAP Notes: Automatically convert clinical conversations or rough inputs into complete, structured notes following the SOAP (Subjective, Objective, Assessment, Plan) format.
Visit Summaries: Instantly generate patient visit summaries that are clear, concise, and EHR-ready.
Patient-Facing Instructions: Provide post-visit summaries and personalized care instructions for patients, written in easy-to-understand language.
Multi-Modal Input: Accepts input through typing, speech, or dictation for maximum flexibility during or after consultations.
Clinical Language Models: Trained on medical datasets to ensure accurate terminology and context.
Workflow Integration: Designed to integrate into existing healthcare workflows, including EHR systems and documentation processes.
HIPAA-Compliant: Built with data privacy and security in mind to meet U.S. healthcare compliance standards.
How CleverHealth.ai Works
CleverHealth.ai is engineered to be intuitive and non-disruptive to clinical routines. Here’s how the workflow typically functions:
Record or Input Notes
During or after a consultation, clinicians can record patient interactions or jot down rough notes into the CleverHealth.ai platform.AI Processing
The system processes the input using its clinical language models, converting it into structured outputs such as SOAP notes or summaries.Review and Edit
Clinicians can review the AI-generated content, make manual adjustments if needed, and approve the notes for submission or sharing.Export or Integrate
Approved documentation can be exported or synced with EHR systems, printed, or shared with patients.
The platform’s goal is to reduce note-writing time from hours to minutes without compromising quality or accuracy.
Use Cases of CleverHealth.ai
CleverHealth.ai is suitable for a variety of healthcare settings and professionals:
Primary Care Providers: Streamline visit notes, diagnosis summaries, and follow-up instructions.
Specialists: Document patient-specific protocols and complex assessments with precision.
Telemedicine Practitioners: Generate detailed records from virtual consultations efficiently.
Clinics and Private Practices: Reduce administrative workload in smaller practices without dedicated transcription teams.
Nurses and Allied Health Professionals: Create educational materials and instructions tailored to patient comprehension levels.
Pricing of CleverHealth.ai
As of May 2025, CleverHealth.ai does not publicly display detailed pricing information on its official website. Instead, the platform encourages interested clinicians, hospitals, and healthcare organizations to request a demo or contact the sales team directly for customized pricing based on organization size, usage needs, and integration requirements.
To explore pricing or request early access, users can visit https://www.cleverhealth.ai and fill out the contact form.
Strengths of CleverHealth.ai
Purpose-built for healthcare professionals
Generates highly structured and clinically accurate documentation
Supports multiple input modes, including voice and text
Reduces time spent on administrative tasks
Patient-facing summaries improve communication and outcomes
HIPAA-compliant and privacy-focused
Designed to integrate with EHR systems
Drawbacks of CleverHealth.ai
No self-serve or free tier currently listed
Requires outreach to access or request pricing
AI outputs may still need manual review, especially for complex cases
Integration may vary based on EHR compatibility
Limited public user feedback due to being in early-access or pilot stage
Comparison with Other Clinical AI Tools
Compared to other clinical documentation tools like Suki AI, DAX by Nuance, or DeepScribe, CleverHealth.ai differentiates itself through:
A focus on streamlined visit summaries and patient-facing content, not just transcription
Clean, user-friendly interface optimized for daily clinical use
Easier setup without the complexity of deep EHR integrations (based on current information)
While DAX offers advanced real-time transcription tied closely to Microsoft systems and Suki is voice-first, CleverHealth.ai provides a more flexible input model and a broader documentation suite.
Customer Reviews and Testimonials
As of now, CleverHealth.ai does not publish user reviews or case studies directly on its website. However, the platform is in active development and appears to be onboarding clinicians and organizations through demo-based outreach.
Early user feedback, where available, has highlighted:
Reduction in documentation time
High accuracy of medical summaries
Ease of onboarding into clinical workflow
More detailed reviews and success stories are expected as the product scales and gains adoption across clinics and healthcare institutions.
Conclusion
CleverHealth.ai is a promising AI-powered copilot for healthcare professionals, designed to alleviate the burden of medical documentation while enhancing the accuracy and accessibility of clinical information. With its intelligent generation of SOAP notes, visit summaries, and patient-facing content, CleverHealth.ai stands out as a practical and forward-thinking tool for modern healthcare providers.
As documentation demands continue to rise in the medical field, CleverHealth.ai offers a scalable, AI-driven solution that not only saves time but also supports better patient care and clinician well-being.
