Give clinical staff their time back from paperwork.
Clinics, practice groups, care providers and labs lose hours every day to referrals, scheduling, documentation and billing. We look for the administrative workflows where agents can sort, match and prepare the paperwork with checks on every step. Clinical decisions always stay with clinicians.
Six admin workflows that pull people away from patients.
These are the workflows we would examine first in an outpatient practice group, a care provider, a diagnostics lab or a hospital's administration. They run through the practice or hospital information system, fax and email inboxes, phone lines and payer portals.
| Workflow | Manual today | AI-native version | Stays human | Verification check |
|---|---|---|---|---|
| Incoming documents and referrals | Staff open faxes, letters and emails, work out what each one is, find the patient and file it. | An agent classifies each document, matches it to the patient record and files it to the right place. | Any clinical reading of the content, and every document with an urgency signal. | Patient match on at least two identifiers. Unmatched or ambiguous documents go to a person, never to a best guess. |
| Appointment scheduling and reminders | Reception juggles phone calls, rebookings and no-shows across calendars. | An agent handles routine booking requests within your slot rules and sends reminders and rebooking offers. | Triage of symptoms and any request that sounds urgent. | Bookings must fit slot type and clinician rules. Urgent keywords route to staff at once. |
| Billing and coding preparation | Billing staff read notes and pick codes, then fix rejections from payers by hand. | An agent proposes billing codes from the documented services, with the passage that supports each code. | Final coding sign-off and every disputed or unusual claim. | Each proposed code cites its source in the record. Code combinations checked against payer rules. |
| Payer rejections and rework | Rejected claims sit in a queue until someone works out why and resubmits. | An agent groups rejections by cause, prepares the correction and flags root causes. | Appeals and any change to clinical documentation. | Resubmissions must change the field that caused the rejection. Appeal deadlines tracked. |
| Discharge and transfer paperwork | Staff assemble letters, medication lists and forms for the next care provider. | An agent assembles the pack from the record and lists what is missing. | Clinical content and sign-off of the discharge letter. | Pack checked against a completeness list. Nothing is sent without clinician sign-off. |
| Patient and insurer correspondence | Requests for records, cost estimates and certificates are handled one email at a time. | An agent classifies requests, checks identity and authorization, and drafts the reply from templates. | Release of medical information and any reply with clinical content. | Identity and consent verified before any release. Templates only for commitments. |
Six numbers that show whether it worked.
The Audit measures these before anything is built. The Pilot is measured against the same numbers.
| Metric | Definition |
|---|---|
| Admin minutes per patient contact | People time on scheduling, documents and billing, divided by patient contacts. |
| Document filing time | Hours from a document arriving to it being in the right patient record. |
| Misfiled document rate | Documents found in the wrong record, per 10,000 filed. |
| Claim rejection rate | Share of submitted claims rejected by payers on first submission. |
| Days to payment | Days from service to payment received. |
| No-show rate | Share of booked appointments missed without notice. |
What can go wrong in healthcare admin, and the control for each.
Clinical decisions, triage and anything that reads clinical meaning into a record stay with clinicians. Our agents handle administration only, see only the data a task needs, and log every action.
| Failure mode | Control | How we'd detect it |
|---|---|---|
| Document filed to the wrong patient | Match on at least two identifiers. Anything ambiguous goes to a person. | Weekly sample of filed documents and a misfiling report channel for staff. |
| Urgent finding delayed | Documents with urgency signals or abnormal-result markers skip the queue and go to staff at once. | Time-to-review report for every flagged document. |
| Agent gives clinical advice | Agents are limited to administrative templates. Symptom questions route to staff. | Review of all patient-facing messages in the Pilot, then a weekly sample. |
| Wrong billing code submitted | Codes need a cited source in the record and final sign-off by billing staff. | Rejection rate and coding audit sample. |
| Records released to the wrong person | Identity and authorization checked before any release. Agents cannot release records alone. | Log of every release with the verifying person. |
| Health data exposed | Least-privilege access per task. Self-hosted, EU-hosted deployment is possible. | Access logs per agent and per task. |
Incoming documents, from diagnostic to pilot.
Illustrative example — not a client result. The numbers below are assumptions chosen to show the method and the arithmetic. Your Audit replaces them with measured values.
| 01 | Diagnostic | Suppose an outpatient practice group picks "incoming documents and referrals" on the General track. The Snapshot might show a High leverage signal with Medium confidence, friction at the Demand/Input and Processing stages, and Level 1 or 2 as the indicated AI depth. |
| 02 | Audit | Suppose the Audit measures 4,000 incoming documents a month at 4 minutes each to identify, match and file. That is 4,000 × 4 = 16,000 minutes, or about 266.7 hours a month, about 1.7 FTE at 160 hours. It also finds that about 25% of documents are hard to match, poor quality or carry an urgency signal. |
| 03 | Pilot | Suppose the 75% clear documents are filed by the agent, with a person checking a 10% sample for 2 minutes each. The 25% unclear or urgent ones go to staff and take 5 minutes each. The Pilot measures whether that holds. |
| Line | Assumption | Hours per month |
|---|---|---|
| Baseline | 4,000 documents × 4 min | 266.7 |
| Clear, after | 3,000 documents, 300 sampled × 2 min | 10.0 |
| Unclear or urgent, after | 1,000 documents × 5 min | 83.3 |
| After, total | 10.0 + 83.3 | 93.3 |
| Difference | 266.7 − 93.3 (about 1.1 FTE) | 173.3 |
At an assumed loaded cost of €38 an hour, 173.3 hours is about €6,590 a month. In practice, that time usually goes back to patients and phones rather than to headcount reductions. The Audit would also measure filing time and the misfiling rate, because a document in the wrong record is a safety issue, not just an admin one. It would count the new costs too: compute, integration with your information system and sample review. If the numbers don't hold, the recommendation is "don't proceed".
Where our proof comes from.
We'll be plain about this. Our production proof is in AdTech, not healthcare. We have not yet run these healthcare administration workflows for a client.
The architecture is the same one that runs in AdTech production: typed intake, deterministic checks before any action commits, bounded retries, then a person. Classifying high volumes of events and routing the uncertain ones to people is what our invalid-traffic work does every day. The case studies show that work, and four of our AI plugins run live on reviveadservermod.com.
Our engineering team and delivery network have built related systems: a healthcare data assistant that answers questions in plain language, with calculations done deterministically outside the AI model, and question answering grounded in approved medical sources. See Selected builds.
That is why healthcare engagements start with the free diagnostic and the Audit. The Audit measures your own baseline and records what must never be automated before anything is designed.
Questions healthcare administrators ask first.
Will an agent make any clinical decision?
No. Diagnosis, treatment, triage and the clinical reading of results stay with clinicians. Agents handle administration: sorting, matching, scheduling and preparing paperwork, with urgent items routed to people at once.
Where does patient data go?
Agents see only the fields a task needs, and every access is logged. Self-hosted or EU-hosted deployment is possible. The Audit records your data protection requirements before anything is designed.
Do we need to change our practice or hospital information system?
No. We work with the systems you have, through their interfaces. The Audit records which systems hold the data and where it is re-keyed.
Find out which admin workflow is worth redesigning.
Start with the free diagnostic on the Other / General Business track. Move to the Audit only if the Snapshot points to something worth measuring.
| 01 | Free AI Operational Diagnostic | 10 steps, 8–12 minutes, General track. Snapshot on screen and as a PDF. |
| 02 | Operational Leverage Audit, from $1,500 | Fixed fee, one workflow, 10–15 working days after data access. Measured baseline, verification architecture, benefit model with stated assumptions, go / no-go. |
| 03 | Pilot implementation, from $6,000 | Fixed scope. The workflow built and run in your environment, with an audit trail, measured against the Audit baseline. Typically 4–8 weeks. |