AI Pathways
Transform clinical guidelines into intelligent, patient-aware workflows
Company profile
Company profile
AvoMD is a clinical AI platform company that transforms medical knowledge into AI-powered clinical copilots integrated directly into electronic health records (EHRs). The company's platform processes EHR data alongside external knowledge bases from trusted sources like MCG and DynaMed to guide clinical decisions and streamline workflows at the point of care. AvoMD's product suite includes Chart Assist for comprehensive documentation across admission, rounding, and discharge workflows; AI Scribe for ambient clinical documentation; Ask Avo, an EHR-integrated AI chatbot that provides clinical decision support; and AI Pathways that transform clinical guidelines into intelligent, patient-aware workflows. The platform is designed to improve care quality, enhance revenue cycle management, reduce clinical burnout, and minimize IT maintenance burden. AvoMD serves rural and small hospitals, large and mid-size health systems, and ambulatory care organizations. The company partners with evidence-based knowledge organizations and medical societies to embed their guidelines and protocols into actionable clinical workflows. Their solutions integrate with major EHR systems including Epic and MEDITECH using SMART-on-FHIR standards, requiring minimal IT support for deployment and ongoing maintenance. AvoMD's approach focuses on delivering contextual, patient-specific recommendations that help clinicians make better decisions while reducing documentation time and administrative burden.
Company description AvoMD official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas deployment with recorded integration context.
Recorded integration context: Care Everywhere, Epic, Epic Orders, FHIR-enabled systems, MEDITECH.
Company milestones
March 2026: Partnership with EBSCO to embed DynaMed into EHR with context-aware AI consult tool. January 2026: Partnership with Acmeware for FHIR-enabled MEDITECH integration. September 2025: MCG partnership to launch AI Discharge Assistant. Listed in Epic Showroom.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Transform clinical guidelines into intelligent, patient-aware workflows
HIPAA-secure ambient listening assistant for clinical documentation
EHR-integrated AI consult tool with patient data and medical guidelines
Clinical AI platform powered by trusted knowledge with customizable copilots
AI copilot for clinical workflows including admission, rounding, discharge, and documentation
AI-powered discharge planning with MCG's trusted recovery milestones
AI-powered E&M optimization for maximizing reimbursement
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
NPJ digital medicine · Sep 26, 2025
Impact of an Evidence-Based Large Language Model (LLM) Diagnostic Decision Support System: A Randomised Controlled Trial.Studies in health technology and informatics · Aug 7, 2025
The potential for drug incompatibility and its drivers - A hospital wide retrospective descriptive study.International journal of medical informatics · Nov 1, 2024
Development, validation, and usability evaluation of machine learning algorithms for predicting personalized red blood cell demand among thoracic surgery patients.International journal of medical informatics · Nov 1, 2024
Healthcare Professionals' Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study.Healthcare informatics research · Jan 1, 2023
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
clinical documentation efficiency
compared to traditional pathway implementation
across multi-national ambulatory organization from IT and labor costs
with Clinical Documentation Improvement
for high risk medications
average clinician workflow time reduced from 120 to 16 minutes
organizational guideline implementation in EHR
from $1M to $37.5k per guideline
Clinical Documentation Improvement for increased reimbursement
$7.5M in increased annual reimbursement with Clinical Documentation Improvement
Clinical guideline implementation and workflow optimization
$11.6M in annual cost savings from IT and labor costs, 96% reduction in cost to implement single guideline ($1M to $37.5k), 94% reduction in time to implement single guideline (18 months to 1 month), 87% reduction in time spent on chart review (120 min to 16 min)
Clinical Documentation Improvement and workflow optimization
$11.6M in annual cost savings
05 · Leadership
Leadership profiles and professional links from the current Company record.
Dr. Emel Hamilton
VP of Clinical Systems
Allen Powell
CEO of EBSCO (DynaMed)
Dr. Priscilla Frase
Director of IT
William Gustin
Chief Medical Officer
Dr. Nathan Fitton
Chief Medical Information Officer
Andrew Olsen
Physician Assistant
Diogo Ribeiro de Sene
Hospitalist
06 · Company updates
Recent articles published on AvoMD's official website.
No Company updates are currently listed.
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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Record-level provenance and review context.