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Daisy AI

Daisy AI offers a HIPAA‑compliant AI operating system that automates medical chart analysis by integrating directly with existing EMR systems to extract, cite, and evaluate clinical data. The platform provides AI‑assisted, human‑in‑the‑loop workflows with ready‑to‑use output templates, enabling healthcare providers and payers to scale AI‑driven documentation review without additional engineering resources.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Healthcare organizations struggle to adopt AI due to rapid technology changes, lack of evaluation frameworks, governance gaps, difficulty measuring ROI, high production costs, talent shortages, and legacy system constraints that impede integration with clinical workflows.

Solution

Daisy AI provides a HIPAA‑compliant AI operating system designed specifically for medical chart analysis. The platform integrates directly with existing EMR systems to extract, cite, and evaluate clinical data, flagging missing documentation and supporting evidence‑based decisions. Specialized AI agents handle different review types while a human‑in‑the‑loop model ensures clinicians retain final authority. Continuous learning from each engagement improves accuracy over time. The solution is offered as a self‑serve SaaS product with optional enterprise deployment, enabling organizations to scale AI without hiring additional engineering talent.

Target Audience

Primary customers are healthcare providers, health systems, and payer organizations that need to automate clinical documentation review and decision support within their existing EMR workflows.

Features

  • HIPAA‑compliant AI operating system for secure medical chart analysis
  • Seamless EMR integration for automatic data extraction and manual upload options
  • Evidence extraction with source citations and criteria matching
  • Human‑in‑the‑loop workflow where AI assists and clinicians decide
  • Auto‑generated timelines and chronologies of clinical events
  • Ready‑to‑use output templates (e.g., case summaries, determination letters) formatted for existing workflows
  • Continuous improvement loop that refines models from each engagement
This profile is AI-generated and may contain inaccuracies.