Agent and Workflow Builder Tools
Customizable tools to safely create, test, and scale AI-powered agents and workflows
Company profile
Company profile
Qualified Health is an enterprise AI platform company that serves health systems with a unified, healthcare-native infrastructure for deploying and governing artificial intelligence at scale. The company provides a single platform that consolidates all AI solutions, workflows, and governance into one operating layer, eliminating the fragmentation that typically comes with multiple point solutions and vendors. The platform connects to core clinical, operational, and financial systems through a single integration, enabling health systems to deploy proven AI solutions rapidly while maintaining strict governance and compliance standards. The company's approach addresses a critical challenge in healthcare AI: the need to parse vast amounts of complex, unstructured clinical data while operating safely within strict governance frameworks. Qualified Health's platform includes pre-validated solutions ready for immediate deployment, builder tools for custom agent and workflow development, unified governance and oversight capabilities, workforce education and upskilling programs, and continuous outcomes tracking. The platform is designed to optimize for patient outcomes and overall system performance rather than just digitizing existing workflows. Qualified Health partners with leading academic medical centers and health systems, serving over 500,000 users. The company's customers include University of Texas Medical Branch, Emory Healthcare, Jefferson Health, University of Rochester Medicine, Mercy, and others. These health systems use the platform to deploy AI safely at enterprise scale, with reported outcomes including millions in identified value, hundreds of hours saved weekly, and thousands of users onboarded in weeks. The company recently secured $125 million in funding to scale enterprise AI adoption across health systems.
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
No clinical focus areas are currently listed.
Cloud Saas deployment with recorded integration context.
Recorded integration context: claims systems, data warehouses, EHR systems, operational data sources.
Company milestones
$125 million funding round announced to scale enterprise AI at health systems. Platform serving 500,000+ users across multiple major health systems.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Customizable tools to safely create, test, and scale AI-powered agents and workflows
Healthcare-native enterprise AI platform unifying workflows, use cases, and models under governed operating layer
Pre-validated AI solutions for high-value clinical and operational workflows
Real-time oversight across every user, model, workflow, and dataset with automated compliance
Structured training layer preparing workforce to use AI confidently and responsibly
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Computers in biology and medicine · Jul 10, 2026
Deep learning-based surgical phase recognition in laparoscopic cholecystectomy.Annals of hepato-biliary-pancreatic surgery · Nov 30, 2024
Non-relevant segment recognition via hard example mining under sparsely distributed events.Computers in biology and medicine · Sep 1, 2024
Visual modalities-based multimodal fusion for surgical phase recognition.Computers in biology and medicine · Nov 1, 2023
PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition?Computer methods and programs in biomedicine · Jun 1, 2023
Patient-specific virtual three-dimensional surgical navigation for gastric cancer surgery: A prospective study for preoperative planning and intraoperative guidance.Frontiers in oncology · Jan 1, 2023
Clinical validation
NCT06945640 · Sponsor · ENROLLING BY INVITATION
A Multicenter Study of RUS NENCT06868186 · Sponsor · RECRUITING
Feasibility of RUS Lung in MITSNCT06952894 · Sponsor · COMPLETED
Clinical Study to Prove Safety and Effectiveness When Applying RUS™ Surgical NavigationNCT05039333 · Sponsor · UNKNOWN
Regulatory
K233457 · 510k · Jul 12, 2024
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Academic Medical Center
Regional Academic Health Network
Regional Clinically Integrated Network
Academic Medical Center
Platform-wide impact
Platform-wide impact
Across all health system customers
Deployment timeline
Clinical and operational workflow automation
400+ hours saved weekly
Co-development partnership for building, deploying, and governing AI tools safely and responsibly
Positioned at forefront of transforming care delivery with generative AI
Evolution from foundational registry tools to agentic solutions for care delivery transformation
Proactive technology enhancing quality and clinical value
Transforming care to make every patient encounter safer, more connected and more human
Simplified workflows, earlier patient need anticipation, better outcomes and experience
Value identification through AI platform deployment
$37M in run-rate value identified in just 10 days
AI-driven operational and financial improvements
$15M in value realized within six months
System-wide AI deployment across UT health institutions serving patients across Texas
Ability to move quickly, learn collectively, and apply intelligence consistently within patient care environments
Safe and responsible AI integration with proper guardrails
Measurable improvements in patient outcomes and workforce well-being
Enterprise-wide AI transformation with platform deployment across 15,000 users
15,000 users live on platform in less than 1 month
05 · Leadership
Leadership profiles and professional links from the current Company record.
Beau Norgeot
PhD
Peter McCaffrey
MD, Chief AI & Digital Officer
Nabile Safdar
MD, MPH, Chief AI Officer
Luis E. Tavera
PhD, EVP, Chief Digital & Information Officer
Gregg Nicandri
MD, Chief Medical Information Officer
Patricia Henwood
MD, FACEP, Chief Clinical Officer
Lisa Nelson
Chief Applications Officer
Byron Yount
PhD, Chief Data & AI Officer
06 · Company updates
Recent articles published on Hutom's official website.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies providing generative AI platforms, large language models (LLMs), foundation models, or broad AI infrastructure specifically designed for healthcare applications. These companies serve multiple clinical use cases across the health system rather than focusing on a single clinical application or disease area.
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Linked research, clinical, and regulatory source pathways.
Expanded product, deployment, integration, and partnership research.
Record-level provenance and review context.