Your care team does what matters most. We cover the in-between.
Most of a care coordinator's day is not clinical work. It is chasing the patients who stopped transmitting, sending the same reminder for the fourth time, and opening readings that turn out to be fine. None of it bills, and all of it is why the panel stops growing. AnyBio is the in-between care coordinator: it takes that work, every patient-facing message is checked against your rules before it sends, and the result lands in the record system you already run.
If you're standing up your first program.
You don't need an existing RPM footprint to start. AnyBio with a catalog of 60+ FDA-cleared cellular devices stands up a complete monitoring program: devices ship to your patients, the signal is captured into the governed layer, the agentic layer prioritizes it for your clinicians, and the ROI measurement runs from the first patient. You skip the project of assembling devices, compliance, and workflow yourself, and your program is provable from day one.
If you already run RPM at scale.
Keep the devices you've deployed. AnyBio adds the governed agentic layer on top of the monitoring you already run: it cuts alert fatigue, surfaces early deterioration patterns for your clinicians to act on, and generates the measurement that shows prevention's effect across your risk pool. No rip-and-replace, and because the rails are neutral, the layer works across every device your program spans.
Your panel hits a ceiling long before your clinicians do.
Remote monitoring pays through two different kinds of code. One pays for supplying the device and moving the data. The other pays for your clinical staff's time with the patient. The chasing in between belongs to neither, which is why it never shows up in a business case and always shows up in a coordinator's day.
Eventually clinical time is the constraint, and it should be. That's the ceiling worth hitting, because it's the one you bill for. Most programs never reach it.
- +Chases the patients who stopped transmitting
- +Sends and escalates adherence reminders
- +First-pass triage of readings that turn out to be fine
- +Drafts the note for your clinician to review
None of this is billable work.
- +Interactive communication with the patient
- +Clinical judgment on what a reading means
- +Any change to the care plan
- +Everything that requires a licensed human
This is the billable work, and it stays yours.
We don't touch the minutes you bill. CPT 99457 requires interactive communication with the patient by your clinical staff. That stays with your team, it stays billable, and CMS's proposed 2027 requirement that the time come from a direct employee doesn't disturb it. A vendor whose AI makes that call for you is quietly telling you to stop billing for it.
What changes is how many patients one clinician can carry to that threshold at the top of their license. We won't print a multiplier here, because we haven't measured yours and neither has anyone else selling you this. Once we're working together, we instrument patients-per-clinician on your own book, before and after, and you keep the number whatever it says.
Bound for the CMS ACCESS Model?
The same rails prove the outcomes your ACCESS payments depend on, whether you deploy the monitoring or use the devices your patients already use.
More monitoring gave you more noise, not more prevention.
As your risk contracts tighten and enrollment scales, your programs generate more data than your team can act on. Rule-based alerts fire constantly and mostly miss what matters, independent research found fixed-threshold alerting performs near chance against clinician judgment, and missed the large majority of the cases clinicians flagged as actionable. Your staff burn out triaging false alarms while real deterioration slips through. The bottleneck was never the devices. It's the intelligence layer that turns the flood into the few patients who need attention now.
AnyBio's governed agentic layer runs on top of the monitoring you already deploy. It prioritizes the signal, surfaces early deterioration patterns for your clinicians to review and act on, coordinates the follow-up and outreach, and keeps a full audit trail, all inside a compliant envelope. The clinically consequential determinations stay with your clinical team, or with a cleared algorithm running on our rails; the agent makes your team faster and less overwhelmed, not replaced. Because it's neutral, it works across every device a real program spans, not one vendor's hardware.
It surfaces the patients who need you, and coordinates the rest.
- Prioritizes the signal.
- Surfaces early deterioration patterns for your clinicians to review and act on.
- Coordinates the follow-up and outreach.
- Keeps a full audit trail, all inside a compliant envelope.
- Makes your team faster and less overwhelmed, not replaced.
- Works across every device a real program spans.
You already carry the compliance. AI governance is a different surface.
HIPAA governs how patient data is handled. Nothing in it tells you whether an agent may tell a patient to change their dose. That is a new surface, your organization has no existing apparatus for it, and being excellent at the first buys nothing on the second. The Coalition for Health AI and the Joint Commission have now put governance frameworks in front of every health system, which turns the question from whether to answer it into how many times you intend to.
Every vendor still gets reviewed, ours included. What changes is how much surface each review has to cover: one data path into your environment instead of one per tool, one set of model provider agreements instead of a chain you inherit per vendor, and one audit record rather than a different export format from each. The clinical question of what a given model should be trusted to do stays yours, every time.
- +One data path into your environment, not one per tool
- +One set of BAAs with the model providers, already executed
- +One audit record covering everything that reaches a patient
- +Any validated model runs inside the same envelope, on the same rules
AI your clinicians trust. Governance your legal team approves.
Routed only to models under BAA
Patient data only reaches models AnyBio holds a BAA with, never a non-compliant provider, and the routing is policy-driven and logged.
A policy on every output
Output is checked against your organization's defined wellness-or-clinical lane and allowed, rewritten to stay within bounds, or blocked for review.
Consequential calls surface to a human
Clinically consequential decisions surface to your clinical team rather than being made autonomously.
Full audit trail
Every AI output is bounded in what it can do and fully logged, so your legal and security teams review one policy instead of every tool.
One door, not a dozen bespoke integrations.
And when AnyBio is your standard intake, the device makers and algorithm companies that want to reach your patients come to you through one compliant, governed door, not a dozen bespoke integrations your team has to vet and maintain. You set the on-ramp; the innovation lines up behind it.
- +One compliant, governed door for the device makers and algorithm companies that want to reach your patients
- +You set the on-ramp; the innovation lines up behind it
- +Not a dozen bespoke integrations your team has to vet and maintain
- +Neutral, so it works across the devices a real program spans
Delivered into the record systems you already run.
Native Epic adapter in development; EHR-ready FHIR and HL7v2 delivery are the live paths into record systems today.
What clinical leaders ask us first
A working session with our team.
Bring the clinical and operational stakeholders who would run the program. We'll walk through your monitoring footprint, show how the governed layer cuts alert burden and surfaces the patients who need reaching, and scope what a first program looks like. The rails already run in production, so the infrastructure side of your timeline is days, not months.
Put one program on the rails. See what it changes.
We'll walk through your program, what the agents would and would not be permitted to do, and what your governance review actually has to cover. One program, on rails that already run in production.
