Our story
Built by people who lived the problem
Patient360 was founded by a team that spent a combined 50+ years inside health systems, frustrated by the same broken data infrastructure they were now being asked to sell software on top of. So they built the thing they always wished existed.
Mission first
Every product decision starts with one question: does this make a clinician's job easier or a patient safer?
Insider knowledge
We come from health systems. We know Epic's data model, the political dynamics of a CMO conversation, and the difference between what hospitals say they want and what they actually need.
Speed over perfection
We measure success by how fast we get a customer live and how quickly they see ROI. A good product in 8 weeks beats a perfect product in 18 months.
Our journey
How Patient360 came to be
The vision
Patient360 was founded by a team frustrated by fragmented healthcare data. We started with a single insight: the hard part isn't building dashboards — it's reliably connecting Epic, Cerner, and other systems into real-time data pipelines. We had spent combined decades solving this inside health systems. Now we were ready to build the platform we always wished existed.
First customers signed
We approached former colleagues with one question: 'What is the one thing you wish you could see in your data that you currently can't?' Within weeks, we had 2 health systems eager to become design partners. Our first customer went live with real-time nursing analytics in 8 weeks. They signed a full-year contract immediately.
Seed round closed
With 3 paying customers and a clear playbook, we raised our seed round to build the shared data layer underlying all Patient360 modules. Our Epic App Orchard application was submitted and accepted, dramatically cutting our customers' security review timelines. Net revenue retention hit 134% as existing customers added workforce and supply chain analytics.
Platform expansion
We scaled to 12 regional health systems and 3 ACOs. Processing over 2 million HL7 messages daily with 99.97% uptime, we added AI narrative generation and expanded into population health analytics. Our Series A preparation is underway to capture the payer market and build our enterprise sales organization.
Where we are now
Patient360 is the fastest-growing operational analytics platform for mid-market health systems. We've proven the model works — fast implementations (8–12 weeks), high retention (134% NRR), and genuine customer obsession. Our next phase is scaling to 100+ health systems and proving that real-time, AI-driven clinical intelligence can be both affordable and transformative.
Leadership team
The people building Patient360
A founding team with deep insider knowledge of Epic data, health system operations, and enterprise SaaS — the exact combination this market requires.
CEO & Co-Founder
15 years in healthcare SaaS. Former VP of Sales at Health Catalyst, where she built the enterprise sales team from 4 to 42 reps and closed the company's first three $1M+ ARR contracts. Before that, Director of Analytics at a 22-hospital IDN.
Background
Focus at Patient360
GTM strategy, fundraising, health system relationships
"Hospitals don't buy platforms. They buy solutions to specific, painful, budget-allocated problems. Our entire company is built around that one truth."
CTO & Co-Founder
12 years in healthcare data engineering. Led the Epic Clarity and Caboodle implementation at Midwest Health System (14 hospitals). Previously principal engineer at AWS Healthcare, where he designed the HL7 ingestion architecture used by 40+ health systems.
Background
Focus at Patient360
Platform architecture, Epic integration, data engineering
"Epic data is filthy in ways that only insiders know. We've seen every edge case — unmapped charge codes, inconsistent NPIs, facility-specific Clarity views. That knowledge is worth 18 months of competitive head start."
Chief Medical Officer
Practicing hospitalist physician and clinical informaticist. Former CMIO at Regional Health Partners, where she led the Epic go-live for 8 hospitals and built the clinical analytics program from scratch. Faculty at Northwestern Feinberg School of Medicine.
Background
Focus at Patient360
Clinical validation, AI model oversight, physician relationships
"Every dashboard we build has to pass a simple test: would I find this useful at 7am before morning rounds with 18 patients? If the answer is no, we go back to the drawing board."
VP of Engineering
10 years building real-time data infrastructure. Former Staff Engineer at Snowflake's healthcare vertical, where he designed multi-tenant data architectures for population health companies. Led the ML platform build at Arcadia before joining Patient360.
Background
Focus at Patient360
ML platform, Snowflake architecture, real-time processing
"The difference between us and every other vendor is that our AI runs on structured data, not free text. That means 100% PHI safety and factual accuracy that clinical reviewers can trust."
By the numbers
Where we stand today
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What to expect
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info@patientpulse360.comInterested in joining our journey?
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