One charting system
to rule them all.

The first clinical AI platform with transparent reasoning, human override at every step, and a complete audit trail.

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Open C Health Systems
Dashboard Patient Chart Schedule Messages
Dr. Sarah Chen, MD
SC
Patient
Joe Dirt
Male, 38 · DOB: 04/15/1988
MRN: 00-4412-07
Insurance: Blue Cross
Allergies: Penicillin
Navigation
Chart Summary
Vitals
Medications
AI Recommendations 1
Lab Results
Imaging
Receipt Audit Log
Chart Summary - Joe Dirt
Last updated: Apr 15, 2026 · 9:42 AM
BP
138/88
Elevated
HR
76
Normal
Temp
98.6
Normal
SpO2
97%
Normal
BMI
31.2
Obese I
Active Problems
Hypertension, essential (I10)Since 2021
Type 2 Diabetes (E11.65)Since 2022
Hyperlipidemia (E78.5)Since 2022
Current Medications
MedicationDoseFreq
Metformin AI FLAG500mgBID
Lisinopril10mgQD
Atorvastatin20mgQHS
Needs Your Review
Consider discontinuing Metformin 500mg. A1C has been stable at 6.1% for 3 consecutive visits. eGFR of 42 increases risk.
Confidence: 94% · 3 sources cited
Review
Dismiss
Recent Activity
Lab results interpreted · Approved
Today, 9:38 AM
Fall risk assessed · Approved
Today, 9:35 AM
Drug interactions checked · Clear
Today, 9:31 AM
BP trend analyzed · Elevated
Today, 9:30 AM
7 agents active 4 receipts today
Ask the Living EHR about this patient's chart...
0
Provisional Patents Filed
0
Years of Charting History
0
Step Receipt Chain
Zero
Black Boxes
The Crisis

The system is breaking the people who hold it together.

Doctors spend more time typing than talking to patients. Nurses chart through lunch. The EHR was supposed to fix healthcare. Instead, it buried it in paperwork.

5.8 Hours
On EHR for every 8 hours of patient time
Source: AMA/Epic Signal Study of 200,081 physicians
4,000 Clicks
Per provider during a single 10-hour ED shift
Source: "The Cost of a Click," Emergency Physicians Monthly
47% / 24%
Burnout rate / depression rate across 5,700+ physicians
Source: Medscape 2025 Physician Burnout Report
$4.6 Billion
Annual cost of physician burnout to the US healthcare system
Source: Han et al., Annals of Internal Medicine

The tools meant to help clinicians are driving them out of medicine. That's the problem we're here to fix.

The Design Philosophy

Every AI action carries a receipt.

Open_C calls this glass box AI. Not because it is simple, but because it refuses to hide. Inputs, policy checks, and reasoning remain visible so the people in the room can inspect the chain before the system acts.

Fail-closed. If the system cannot verify safety, it stops. It does not guess. It does not proceed with a disclaimer. It stops, and it tells you exactly why. This is the single most important design decision in the entire platform.

How the receipt chain works.

Every AI action passes through this pipeline. Hover any step to see what gets recorded. Then hit the buttons to watch it run live.

1
Receive
Clinical context enters with signed origin
2
Normalize
Validate against canonical schema
3
Execute
Run deterministic pipeline, log every fork
4
Evaluate
Check safety, policy, confidence thresholds
5
GATE
Fail or pass. No middle ground. No disclaimers.
6
Publish
Clinician approves. Output released.
7
Bind
Attach evidence citations and provenance
8
Persist
Seal in tamper-evident ledger
Step 1 of 8
Receive
Clinical context, patient ID, provider authority, and request parameters enter the pipeline. Nothing proceeds without a signed origin. Every input is hashed and stored before processing begins.
What the receipt records:
patient_id, encounter_type, requesting_provider, clinical_context, timestamp_utc, authority_chain

When something goes wrong, you can trace it. When something goes right, you can prove it. That is what a receipt means.

For You

What does Open_C mean for you?

Every audience has different questions. Choose your path for the information that matters most to you.

Investors

Market opportunity, patent moat, competitive landscape, business model, and founder credentials.

Explore →

Clinicians

The full crisis data, product demos, autonomy levels, care journey, and how governance protects you.

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Health Systems

Governance architecture, compliance framework, security model, integration approach, and risk reduction.

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Patients

How Open_C gives your doctor more time with you, keeps your data safe, and puts you in control.

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If your AI cannot produce a receipt, it has no business touching a patient.

Governance is not a feature. It is the architecture.

Join the Waitlist See How It Works
Frequently Asked Questions

Everything you need to know.

Every AI action in Open_C carries a receipt, a transparent, auditable record of what the AI did, why it did it, what evidence it used, and how a clinician can override it. Most platforms treat AI as a black box bolted onto billing. We built governance into the architecture from day one.
No. Open_C is built for the clinicians who run their own practices, the solo practitioners, small group practices, rural clinics, and community health centers that serve the majority of patients but are often last to receive new technology.
Every AI decision generates an 8-step receipt: input capture, evidence retrieval, reasoning trace, confidence scoring, human checkpoint, action execution, outcome logging, and audit trail. Clinicians can inspect, override, or reject any AI recommendation at any point in the chain.
Open_C is designed with zero-trust architecture. Patient data never leaves the governance boundary without explicit, auditable authorization. Every data access is logged, every AI inference is traceable, and every export requires human approval.
Open_C holds 173 provisional patent applications (P001–P146, R1–R7, T1–T20) covering every layer of governed clinical AI, from core clinical reasoning and ambient documentation to care transition handoffs, insurance governance, TEFCA intelligence, quantum-safe security, energy optimization, and neuromorphic hardware. The platform deploys over 160 specialized AI agents across seven coordinated families. This creates a comprehensive moat around the governed AI approach to healthcare.
We are currently in the patent-first phase, building the intellectual property foundation before going to market. We are actively seeking partnerships with health systems, EHR vendors, and investors who want to shape the future of governed clinical AI. Reach out below to start a conversation.
Aaron Seagle
Get in Touch

Let's talk about what's next.

Aaron R. Seagle, DNP(c), FNP-BC, FNP-C

Founder, Open_C Health Systems

General Inquiries

Questions about Open_C Health Systems, our platform, or our mission.

aaronseagle@openc.health →

Investor Relations

For investors interested in the governed clinical AI category and our patent portfolio.

aaronseagle@openc.health →

Licensing

For health systems, EHR vendors, and organizations interested in licensing our technology.

aaronseagle@openc.health →

Partnerships

For potential partners in healthcare, technology, and clinical AI governance.

aaronseagle@openc.health →

Press & Media

For press inquiries, interviews, and media requests.

aaronseagle@openc.health →

Careers

Interested in building the future of governed clinical AI?

aaronseagle@openc.health →

Open_C Health Systems, Inc. · 78 Voltaire St, Gerrardstown, WV 25420 · Delaware C-Corporation

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