Opmed.ai

Boston, MA, United States  All United States companies → — Founded 2020
Healthcare Analytics / BI Practice Management Suite
Anesthesiology General Surgery Hospital Medicine
Practice Management & Scheduling Surgical AI
Series A — $15.5M or $15M
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Products

Opmed OR
Opmed.ai
Practice Management & Scheduling
Opmed OR offers complete operating room scheduling optimization using an AI-powered engine to maximize efficiency, improve resource allocation, and reduce costs.
Contact-for-details

See all 1 product →

About Opmed.ai

Opmed.ai is a healthcare AI company that specializes in optimizing healthcare operations, particularly focusing on operating rooms (ORs), rehabilitation centers, and other complex clinical environments. Their platform leverages advanced AI algorithms and network science to analyze billions of permutations and industry-specific factors, generating optimized schedules and resource allocation suggestions. This approach aims to address critical issues such as staff shortages and limited resources, enabling healthcare organizations to increase efficiency, capacity, and resource utilization, while also mitigating risks and unexpected events in real-time.

For physicians and healthcare administrators, Opmed.ai’s solution goes beyond traditional scheduling by providing actionable insights and proactive interventions. The platform can predict case durations, optimize staff rostering, and streamline patient flow between pre-operative care, the OR, and post-anesthesia care units (PACU). By doing so, it helps reduce patient wait times, increase surgical capacity, and improve overall operational efficiency, ultimately leading to enhanced patient care and significant cost savings for hospitals. The company emphasizes a data-driven approach with complete transparency in its decision-making process, allowing users to understand the rationale behind schedule recommendations.

Focus Areas

AI-powered optimization operating room scheduling resource allocation healthcare operations perioperative care staff rostering predictive analytics capacity management digital health SaaS

Business Intelligence

Key InvestorsNFX, Grove Ventures, Secret Chord Ventures, Sir Ronald Cohen, Unbox Ventures, Kickstart Innovation, Mercer Ventures (New York)
PartnershipsMayo Clinic, Geisinger
TechnologyAI-powered optimization engine, network science, cloud-native

What Physicians Need to Know

AI-Powered Optimization Engine
Opmed.ai utilizes advanced AI algorithms and network science to optimize complex healthcare operations, particularly in operating room (OR) scheduling and resource allocation. It analyzes billions of permutations in seconds to create efficient schedules and proactively address potential disruptions.
Operating Room Scheduling
The platform specializes in optimizing OR schedules by accurately predicting case durations, minimizing idle time, and expanding small gaps into usable time slots. This leads to increased OR utilization and case volume.
Resource Allocation
Opmed.ai dynamically allocates resources including staff, equipment, and post-anesthesia care unit (PACU) logistics, ensuring optimal use and efficiency across the perioperative process.
Perioperative Care
The solution streamlines perioperative care by coordinating pre-operative care, optimizing OR utilization, and improving PACU scheduling and transitions.
Staff Rostering
Opmed.ai manages staff assignments by predicting requirements, coordinating across departments, and creating equitable schedules that balance organizational needs with staff preferences.
Predictive Analytics & Capacity Management
The platform offers real-time predictive analytics to forecast future trends, staffing needs, and equipment demands, enabling data-driven decision-making and continuous optimization of capacity.
Digital Health & SaaS
Opmed.ai provides a comprehensive, user-friendly SaaS solution for OR management, offering analytics and optimization tools to improve efficiency and patient care.
Key Differentiators
Opmed.ai stands out by providing proactive interventions and actionable solutions, rather than just alerts. It anticipates and responds to unforeseen delays, generates optimized alternative schedules with a single click, and boasts rapid implementation times (2-4 weeks).
Technology Stack
The core of Opmed.ai's technology stack includes AI, network science, and heuristic optimization algorithms.
Physician Tip

Opmed.ai helps physicians by reducing documentation burden through ambient clinical intelligence, allowing them to focus more on patient care. It provides insights that augment human judgment in scheduling, respecting the critical human elements of a surgical team. The platform's accurate predictions of case durations can lead to more predictable schedules, potentially reducing physician burnout and improving work-life balance. It also ensures key elements aren't missed in documentation, improving care continuity and potentially reducing coding denials.

Opmed.ai offers seamless integration with existing Electronic Health Record (EHR) systems, including Epic, Cerner, and Athena. This integration allows the AI to ingest real-time data from the EHR and write back recommendations, ensuring that schedule insights and optimizations are directly reflected in the hospital's existing workflow.

Products by Opmed.ai

1 product in the directory

Opmed OR
Opmed.ai
Practice Management & Scheduling
Opmed OR offers complete operating room scheduling optimization using an AI-powered engine to maximize efficiency, improve resource allocation, and reduce costs.
Contact-for-details

What the Web Says

Opmed.ai is an AI-powered platform designed to optimize scheduling and resource allocation in healthcare settings, primarily focusing on operating rooms (ORs). The platform aims to reduce documentation burden, improve note quality, and enhance clinician well-being by using AI to transcribe, analyze, and structure patient conversations into EHR-ready notes. It also focuses on improving OR performance by analyzing complex variables to generate optimized schedules, which can lead to increased revenue and reduced costs for hospitals.

Overall: Positive

Strengths

  • Efficient OR scheduling and resource allocation using AI and network science.
  • Potential to generate additional revenue (e.g., $1.2 million per OR per year) and reduce operating costs (5-15% annually).
  • Improved accuracy in predicting case lengths, reducing estimation error by 40%.
  • Reduces documentation time by 50-70%, allowing clinicians to focus more on patient care.
  • Enhances note accuracy and completeness, supporting better reimbursement and patient experience.
  • Seamless integration with existing EHRs and workflows, requiring minimal training.

Limitations

  • May involve a learning curve for staff unfamiliar with network science principles.
  • Effectiveness relies on the accuracy and completeness of operational data provided.
  • Requires comprehensive adoption by all users within a facility to realize full benefits.
  • Potential for initial investment required for implementation and training.
  • Limited information available on employer reviews on major platforms like Glassdoor or Capterra.
  • No customer reviews yet on AWS Marketplace.

Based on reviews from: Opmed.ai Reviewed: 5 Essential Tools for Smarter Healthcare Operations in 2025, Opmed.ai Reviews - Read Customer Reviews of Opmed.ai, Opmed Reviews, Pricing, Features & Integrations - Elion, Opmed.ai | Optimize OR scheduling with AI, Investing in Opmed.ai: Optimizing Healthcare Operations - Grove Ventures, Health Force AI vs. Opmed.ai Comparison - SourceForge, Opmed AI - AWS Marketplace, Top 10 Opmed Equipment Alternatives & Competitors in 2026 - G2, Compare Opmed.ai vs. United We Care in 2026, Top 10 Opmed Staff Alternatives & Competitors in 2026 - G2, Best AI Medical Diagnostic Platforms: User Reviews from July 2026 - G2, Best AI Agents for Healthcare According to Reddit (2026) | DeepCura Resources, Compare MedReport AI vs. Opmed.ai in 2026, Capterra: Find The Right Software, OpenMed Reviews 2026: Details, Pricing, & Features - G2, Open Evidence - Is it living up to the AI hype? : r/emergencymedicine - Reddit, Optimal Reviews 2026: Details, Pricing, & Features - G2, Ophthalmology-Cloud Software Pricing, Alternatives & More 2026 | Capterra, OmniMD Software Pricing, Alternatives & More 2026 | Capterra, My honest review of AI training platforms: where I actually made money and where I didn't : r/RemoteJobs - Reddit, ManageEngine OpManager Reviews 2026. Verified Reviews, Pros & Cons | Capterra, Medscheme

Last updated: 2026-07-12

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Press & Coverage

Grove Ventures
Opmed.ai Raises $15M to Manage Operating Rooms
Opmed.ai, an AI optimization platform for healthcare, successfully raised $15 million in Series A funding from investors including Grove Ventures, NFX, Secret Chord Ventures, Sir Ronald Cohen, and Unbox Ventures. The company specializes in optimizing healthcare operations, particularly operating rooms, through advanced AI technology.
2024-05
Ctech (Calcalistech)
Opmed.ai secures $15 million Series A to bring AI optimization to healthcare operations
Opmed.ai, an Israeli startup focused on AI optimization for healthcare, announced a $15 million Series A funding round. Their platform uses an optimization engine to run billions of permutations in seconds, generating alternative schedules for operating rooms to improve resource allocation.
2024-05
PR Newswire
Opmed.ai announces AI-powered OR optimization at Geisinger, marking milestone in health care innovation
Opmed.ai announced the successful implementation of its AI-powered platform at Geisinger, a major health services organization. This collaboration aims to enhance operating room management and data-driven decision-making across Geisinger's 10 hospital campuses.
2024-10
Digital Health News
Opmed & Mayo Clinic Unveil Multimodal AI Platform to Improve Surgical Scheduling Efficiency
Opmed, in collaboration with Mayo Clinic, presented results from a multi-year study demonstrating how a multimodal deep learning platform can significantly improve operating room scheduling efficiency for cardiovascular procedures, reducing scheduling errors by approximately 50%.
2026-06
Opmed.ai Blog
Transforming Cardiac Surgery Scheduling at Mayo Clinic With Opmed.ai
Opmed.ai's AI model has been integrated at Mayo Clinic to provide precise predictions of case durations for heart-related procedures, significantly surpassing traditional estimation methods and reducing Mean Absolute Error (MAE) from 60 to 34 minutes per case.
2024-05
Grove Ventures
Opmed.ai Achieves 95% Reimbursement Approval and Cuts Patient Wait Times by Over 90%
HealthTech Magazine featured Opmed.ai's new AI-led rehabilitation solution, which has achieved a 95% reimbursement approval rate and reduced patient wait times by over 90%, along with increasing billable hours and treatment value.
2025-XX
HIT Consultant
Opmed and Mayo Clinic Unveil Multimodal AI Platform at ACC.26 to Optimize Surgical Capacity
Opmed and Mayo Clinic collaborated on a multi-year study, presented at ACC.26, demonstrating that Opmed's multimodal deep learning platform can reduce cardiovascular procedure scheduling errors by approximately 50%.
2026-06
Opmed.ai Blog
Introducing Opmed.ai's Game-Changing Feature: Proactive Block Release
Opmed.ai has introduced a new feature called 'Proactive Block Release' designed to revolutionize block time utilization in operating rooms. This AI-based solution uses predictive analysis to forecast underutilized blocks and includes communication tools and incentive mechanisms for surgeons.
2024-04

Frequently Asked Questions

Opmed.ai leverages AI to optimize operating room schedules, improve resource allocation, and enhance overall perioperative care. It addresses challenges like inefficient scheduling, underutilized resources, and staff rostering complexities, ultimately aiming to increase surgical volume and reduce costs.
Opmed.ai uses AI and predictive analytics to forecast demand, optimize surgical block utilization, and dynamically adjust schedules. This allows healthcare administrators to better manage capacity, reduce patient wait times, and improve the flow of patients through the perioperative journey.
Opmed.ai offers a suite of modules focused on areas like OR scheduling, staff rostering, and capacity management. While specific product names aren't detailed, their SaaS platform is designed to integrate with existing hospital information systems and electronic health records to ensure a seamless workflow.
Opmed.ai prioritizes data security and patient privacy, adhering to relevant healthcare regulations like HIPAA and GDPR. They implement robust security measures and ensure their AI models are trained and deployed in a compliant manner to protect sensitive patient information.
Opmed.ai typically offers a SaaS-based pricing model, likely subscription-based, though specific details would require direct inquiry. Their implementation process involves integrating with existing systems, and they provide ongoing support to ensure successful adoption and optimization for their clients.
Opmed.ai highlights its ability to increase surgical volume by up to 20% and reduce costs by 10-15% through optimized scheduling and resource allocation. They also claim to improve staff satisfaction and patient access to care.
Opmed.ai is a company focused on transforming healthcare operations through AI. While specific funding rounds or major partnerships aren't detailed in the provided information, their focus on innovation in digital health suggests a commitment to long-term growth and stability in the healthcare AI market.

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