Rounds

The Collective Intelligence of Healthcare

Overview

Rounds is a collaborative intelligence layer for healthcare — a secure network where physicians, clinicians, and care teams share real-world insights, learnings, and best practices across systems. It transforms individual provider experiences into a continuously learning healthcare graph that elevates care quality for all.

Target Audience

Independent Physicians

Seeking peer support and clinical guidance

Group Practices and MSOs

Looking to disseminate best practices across locations

Academic and Specialty Experts

Who want to scale their impact beyond geography

Health Systems

That want collective intelligence from their physician network

AI & Data Teams

Building models grounded in real-world clinical collaboration data

Key Challenges We Solve

Knowledge Silos

90% of clinical expertise stays trapped within single practices; Rounds unlocks and distributes it system-wide.

Collective intelligence

Static Guidelines

Providers share live cases, feedback, and treatment variations in context — improving adherence by 30%.

Real-world adaptation

Peer Isolation

Reduces burnout by fostering professional community; 40% of users report higher satisfaction after joining rounds.

Continuous learning

How It Works

The 30-Day Machine

1

Knowledge Graph Foundation

Every shared insight becomes a node in a healthcare graph, linked by specialty, diagnosis, and patient context

2

Collaborative Rounds Feed

Providers post de-identified cases, decisions, and follow-ups; peers respond with comparable experiences or best practices

3

Collective Learning Loop

Engagement patterns feed back into the system; recurring insights are promoted into "Best Practice Playbooks."

4

Embedded Intelligence

AI agents summarize discussions, extract consensus, and surface the most contextually relevant guidance during live patient care

Results & Metrics

500+ providers across Pediatrics, Family Medicine, and Cardiology

Network

Avg. 6.5 posts/day per 100 physicians; 70% active monthly participation

Engagement

+30% protocol adherence; –20% redundant tests; 2x faster peer learning cycles

Outcomes

Seamlessly connected to IndependenceOS and Foundry Knowledge Graph

Integration

Roadmap

Rounds 1.0 Launch

Upcoming

Q1 2026

Secure peer-to-peer network with verified physician profiles

Specialty Channels

Upcoming

Q2 2026

Dedicated communities for Pediatrics, Cardiology, Family Medicine

AI Summarizer GA

Upcoming

Q3 2026

Agentic digest of key cases and clinical trends, embedded in EHR

Global Knowledge Exchange

Upcoming

Q4 2026

Cross-border, language-adaptive collective intelligence expansion