When AI helps your doctor make decisions about your care, you should be able to see exactly what it recommended, why it recommended it, and whether your doctor agreed. Open_C is being built to make that possible.
Designed so every AI recommendation comes with a receipt you can read.
Designed so AI cannot act on your care without your provider's approval.
Designed to show real prices before treatment, not surprise bills after.
Designed to keep your whole care story in one place, always up to date.
Today, most AI in healthcare operates as a "black box." It makes recommendations, but nobody can explain how it arrived at them. Not the doctor. Not the hospital. And certainly not you. Open_C is being built to replace the black box with what we call Glass Box AI: a platform designed so that every AI action is transparent, auditable, and receipted.
Open_C is architected so that AI does not make decisions about your care. It is designed to help your provider by gathering information, flagging risks, and suggesting options. But your provider would review, approve, or override every recommendation before anything happens. The AI is designed as a copilot, never the pilot.
When the AI suggests a medication, flags a risk, or recommends a test, the platform is designed to create a permanent, tamper-proof record of what it did, what evidence it used, and what your provider decided. Think of it like a receipt for every AI action in your care. The architecture is built so that nothing is hidden.
If something goes wrong with the AI, the system is designed to stop. Not guess. Not make things up. Not quietly push through a bad recommendation. The architecture is built to shut down safely rather than operate unsafely. The goal is that your care never depends on an AI that might be malfunctioning.
Open_C is being built with a consent-governed data access system. The platform is designed so that you control which providers and services can see your information, down to the category level. Behavioral health, substance use, and reproductive health data are designed to be segmented and protected separately. The goal is that you decide who sees what.
Right now, most patients have no idea what a procedure, test, or medication will actually cost them until the bill arrives weeks later. Open_C's Insurance Accountability Engine is designed to change that. It is being built to compute your real, personalized cost at the point of care, using your actual insurance plan, deductible status, and benefit design.
Open_C's Prescription Cost Optimization Engine is designed to query all sources simultaneously and show you the lowest-cost option, along with trade-offs (e.g., a discount program may not count toward your deductible). Illustrative example only; actual savings would vary by patient and plan.
Before your provider orders a test, imaging study, or procedure, Open_C is designed to compute what you would actually owe based on your specific plan, network, and where you stand on your deductible.
Open_C is designed to track how often your insurer denies specific medications and procedures, and how often those denials are overturned on appeal. The goal is that you would see the pattern before you get caught in it.
The system is designed to monitor your insurance status and predict potential coverage lapses before they cause a claim denial, giving you time to act instead of discovering the problem on a bill months later.
Medicare Part B covers outpatient care: doctor visits, preventive screenings, lab tests, durable medical equipment, and more. Open_C is designed to work within that framework to help you get the most from your coverage and avoid unnecessary costs.
Source: CMS 2026 Medicare Parts A & B Premiums and Deductibles, November 2025.
After you meet your $283 deductible, Medicare pays 80% of covered outpatient services. You pay the remaining 20%. That 20% can add up fast, especially for imaging, specialist visits, and outpatient procedures.
For prescription drugs under Part D, Open_C's cost engine is designed to track your true out-of-pocket spending toward the $2,100 annual cap. Once you hit that cap, you pay $0 for covered drugs for the rest of the year. The platform is designed to show you exactly how close you are and what that means for your upcoming prescriptions.
If you are in the Part D coverage gap, Open_C is designed to compute whether a discount program or manufacturer card gives you a lower immediate price, and whether using it would slow your progress toward catastrophic coverage. The goal is that you would see the full picture, not just today's price.
Today, your medical information is scattered across different hospitals, clinics, and provider offices. Each one has a fragment of your story. When you see a new provider, they start from scratch. Open_C's Living EHR is designed to keep your complete care story in one continuous record.
When your care moves from the ER to the hospital floor, from one nurse to the next, or from the hospital back to your primary care provider, the Living EHR is designed so that every detail travels with you. Medication changes, test results, what the surgeon found, what changed overnight. The next provider would see the full picture, not a fragmented summary.
Traditional medical records are snapshots: they capture what happened at a single visit. The Living EHR is designed as a continuous record that updates in real time. When your lab results come back, when your vitals change, when your provider adjusts a medication, the record is designed to reflect it immediately.
Through Open_C's patient portal, you would be able to see your own care record. Not a watered-down "patient-friendly" version that hides the details. Your actual record, with plain-language explanations alongside the clinical data. The portal is designed so you can ask questions about your record and get clear, evidence-based answers.
Not behind closed doors. Not in a black box. Not with surprise bills. Open_C is being built to put you at the center of your own care, with full transparency, real cost information, and a complete record designed to never lose your story.
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