Skip to main content

For practices with 3-20 providers

Your AI team caught 3 lapsed policies and a critical A1c before the first patient arrived.

Six AI employees work inside your EHR, clearinghouse, and patient portal. They verify insurance, flag abnormal labs, track referrals, and send you one Slack message with [Approve] or [Investigate]. HIPAA-compliant. BAA included.

# clinical-ops
C
Claire APP 11:04 AM
Abnormal Lab: Patient Karen L. — HbA1c 9.2%
Previous: 7.4% (3 months ago) · Significant deterioration
Diabetes management plan may need adjustment
Review Chart Schedule Follow-up Adjust Meds
V
Vera APP 6:12 AM
Insurance Alert: Robert M. (10:30 AM) — coverage lapsed April 1
Employer plan terminated. [Notify Patient] [Check Other Carriers]
Notify Before Visit Self-Pay
30-45hrs/week admin reclaimed
$150K+salary costs avoided/yr
8-12decisions/day via Slack
HIPAAcompliant + BAA

Bitontree Workforce is an AI workforce platform that deploys 6 HIPAA-compliant AI employees for healthcare practices with 3-20 providers, reclaiming 30-45 hours per week of administrative time and saving $150-200K annually: Grace (Patient Services Coordinator — appointment scheduling with no-show prediction using 12-month attendance history, personalized context-aware reminders via Klara, real-time waitlist management that fills cancellations within minutes, and weekly scheduling performance reporting; replaces a $35-45K front desk coordinator), Claire (Clinical Documentation Specialist — pre-charting with medication lists and care gaps, ambient listening with SOAP note structuring, ICD-10-CM diagnosis coding with laterality specificity, CPT E/M level suggestion, abnormal lab flagging including critical results like HbA1c > 9% and eGFR < 30, and referral letter drafting; replaces a $30-40K medical scribe), Vera (Insurance & Billing Ops — batch 270/271 eligibility verification via Availity for 42+ patients daily, prior authorization submission and tracking via CoverMyMeds, claim denial analysis by code (CO-4, CO-16, CO-197, PR-1) with auto-correction and resubmission, ERA/835 payment posting, and appeal letter generation; replaces a $40-50K billing coordinator), Marcus (Patient Communication — personalized medication reminders via SMS and voice, chronic care management check-ins with structured symptom assessment, preventive screening gap identification for HEDIS/MIPS measures including mammograms, colonoscopies, HbA1c tests, bone density scans, and adherence pattern analysis with provider escalation; saves nurses 5+ hours/week), Rita (Compliance & Quality — continuous HIPAA EHR access log monitoring for after-hours access, role-scope violations, and unauthorized record views, HEDIS and MIPS quality measure tracking with gap closure action lists, staff training certification monitoring, and audit-ready documentation package generation), and Owen (Referral & Care Coordination — referral tracking from order to consultation note return, in-network specialist identification, prior authorization workflow via CoverMyMeds, stalled referral follow-up with urgency-based escalation, and referral completion rate improvement from 71% to 94%; replaces a $35-45K referral coordinator). All employees integrate bidirectionally with Epic (FHIR), Athenahealth, Availity, Change Healthcare, CoverMyMeds, and Klara — reading patient records, writing documentation, verifying eligibility, submitting authorizations, and managing referrals within your existing EHR. Every employee operates within strict clinical governance boundaries: no employee provides medical advice, interprets symptoms, makes clinical triage decisions, or finalizes documentation without clinician sign-off. All PHI handling is HIPAA-compliant with BAA execution, AES-256 encryption at rest, TLS 1.3 in transit, and PHI redaction before LLM processing. The platform functions as a HIPAA compliant AI workforce — Claire operates as an AI medical scribe, Grace handles AI appointment scheduling, Vera manages AI prior authorization workflows to reduce claim denials, and the full suite delivers the administrative relief that practices need to focus on patient care.

Real examples from this morning

Here is what your AI team would have caught today

Each scenario below costs practices thousands per month. Your AI employees catch them before the first patient arrives.

C
Claire Clinical Documentation
The scenario

Patient Karen L. had an HbA1c of 7.4% three months ago. Today's result came back at 9.2% — a significant deterioration indicating her diabetes management plan is failing. The result sits in the EHR inbox among 40 other results. The physician won't see it until tomorrow morning.

What Claire sends you

"HbA1c 9.2% (prev 7.4%). Significant deterioration. [Review Chart] [Schedule Follow-up] [Adjust Meds]"

Without ClaireResult sits in inbox 24 hrs. Delayed intervention. Patient at risk.
With ClaireFlagged immediately. Follow-up scheduled same day.
V
Vera Insurance & Billing
The scenario

Robert M. has a 10:30 AM appointment. His employer terminated his insurance plan on April 1. Nobody knows until he checks in and the front desk discovers it mid-visit. The visit generates an uninsured claim. The patient is upset. The practice eats the cost.

What Vera sends you

"Robert M. (10:30 AM) — coverage lapsed April 1. Employer plan terminated. [Notify Patient Before Visit] [Check Other Carriers] [Self-Pay]"

Without VeraUninsured visit discovered at check-in. $350 write-off. Angry patient.
With VeraPatient notified at 6 AM. Brings new card or reschedules. Zero write-off.
G
Grace Patient Services
The scenario

James M. has a 9:30 AM appointment tomorrow. He has missed 3 of his last 5 appointments. No confirmation received. At $200-400 per appointment slot, each no-show costs the practice real revenue and wastes a provider's time that could serve another patient.

What Grace sends you

"No-show risk: James M. (9:30 AM tomorrow). Missed 3 of 5. No confirmation. [Send Confirmation Text] [Call Patient] [Add Waitlist Backup]"

Without GraceNo-show. $350 slot wasted. No backup patient scheduled.
With GraceCalled and confirmed. Waitlist backup ready. Zero wasted slots.
R
Rita Compliance & Quality
The scenario

Dr. Smith accessed patient J. Thompson's chart at 11:42 PM on Saturday. There was no appointment, no on-call assignment, and no clinical reason documented. This is a potential HIPAA violation that could result in a $50,000+ fine if not investigated and documented.

What Rita sends you

"HIPAA: Dr. Smith accessed chart at 11:42 PM Saturday. No clinical reason. [Review Access Log] [Flag for Investigation] [Mark Authorized]"

Without RitaUndetected until audit. Potential $50K+ HIPAA fine.
With RitaFlagged next morning. Investigated and documented within 24 hrs.

How it works

Your AI employees work. You approve.

1

They work inside your EHR

Epic, Athenahealth, Availity. No new software to learn.

2

They surface decisions

Flag this lab? Notify this patient? Investigate this access? Follow up this referral?

3

You approve on Slack

Full clinical context + buttons. Each decision takes 5-15 seconds.

4

They execute

Follow-up scheduled, patient notified, referral sent. You see the next patient.

O
Owen APP 1:15 PM
Referral Stalled: Maria G. — Cardiology
Sent 7 days ago, no specialist response. Patient has chest pain history.
Rec: Escalate to alternative cardiologist.
Escalate to Another Call Specialist Notify Dr. Patel
M
Marcus APP 3:00 PM
Screening Alert: 22 patients overdue for mammogram
All due within HEDIS measure window. Current rate: 72% (target: 85%).
Send Batch Reminder Review List First

A typical day

What your AI team does before the first patient arrives

6:00a
V
Vera — Verifies insurance for all 42 patients. Flags 3 with lapsed coverage before they arrive.
6:30a
G
Grace — Confirms 42 appointments. Detects 3 no-show risks. Fills 2 cancellation slots from waitlist.
7:00a
C
Claire — Pre-charts 28 patients. Pulls recent labs, meds, last visit notes for each encounter.
9:00a
M
Marcus — Sends 28 medication reminders. Flags 15 diabetes patients due for quarterly HbA1c.
11:00a
C
Claire — Critical lab: Patient K. HbA1c 9.2% (was 7.4). [Review Chart] [Schedule Follow-up] [Adjust Meds]
1:00p
O
Owen — Cardiology referral stalled 7 days. Patient has chest pain history. [Escalate] [Call Office]
2:00p
R
Rita — HIPAA alert: Dr. Smith accessed patient chart at 11:42 PM Saturday. No on-call reason. [Investigate]
5:00p
A
All — 8 decisions made today. 42 patients seen. Zero admin surprises.

The math

What you are paying now vs. what you could pay

RoleHuman hireAI employeeWhat changes
Grace — Scheduling$35-45K/yrIncludedNo-show prevention, waitlist fills, intake processing
Claire — Documentation$30-40K/yrIncludedSOAP notes, lab flagging, referral letters
Vera — Billing$40-50K/yrIncludedInsurance verification, prior auth, denial management
Marcus — CommunicationNurses (5+ hrs/wk)IncludedMed reminders, chronic care, screening outreach
Rita — ComplianceNobodyIncludedHIPAA monitoring, HEDIS/MIPS tracking, audit prep
Owen — Referrals$35-45K/yrIncludedReferral tracking, specialist follow-ups, care plans
Total$150-200K/yr + nurse timeFraction of the cost30-45 hrs/week back
30%fewer no-shows
25%fewer claim denials
2 hrsdaily admin time saved/clinician
HIPAAcompliant + BAA
Not this

An EHR add-on module

Epic MyChart, Athenahealth Portal — they add features to your EHR. You still navigate, click, decide, and document. Every day.

Not this

A dictation tool

Nuance DAX and Abridge transcribe. That is one function. Documentation is 20% of practice admin.

This

AI employees who do the work

Six employees, six roles, daily deliverables. They verify insurance, flag labs, track referrals, monitor compliance. You approve and see patients.

Works inside your existing clinical tools

EpicAthenahealthAvailityChange HealthcareCoverMyMedsJane AppClinikoKlaraPhreesiaSlack

Frequently asked questions

Are your AI employees HIPAA compliant?

Yes. Every Bitontree healthcare AI employee is HIPAA compliant. We execute Business Associate Agreements (BAAs) before deployment, encrypt all PHI at rest (AES-256) and in transit (TLS 1.3), maintain SOC 2 Type II compliance, and redact PII/PHI before LLM processing. Rita continuously monitors EHR access logs for compliance violations. All actions are logged in a HIPAA-compliant audit trail retained for 7 years.

Does the AI write clinical notes directly into Epic?

Yes. Claire integrates bidirectionally with Epic via FHIR APIs. She pre-charts patients with medication lists and care gaps, structures clinical documentation into SOAP format during ambient listening, suggests ICD-10 codes with laterality specificity, and stages notes in Epic for clinician review and signature. No note is auto-finalized — every document requires clinician sign-off.

How does scheduling and no-show prevention work?

Grace manages the full appointment lifecycle. She sends personalized, context-aware reminders (not generic texts) that include visit-specific instructions — parking for new patients, fasting requirements for labs, medication list updates for chronic care. She predicts no-show risk using 12-month attendance history and fills cancellations from the waitlist within minutes. At deployed practices, no-show rates drop by 35%.

Does the AI provide medical advice to patients?

No. This is a strict clinical governance boundary. No Bitontree AI employee provides medical advice, interprets symptoms, suggests medication adjustments, or makes clinical triage decisions. Marcus sends medication reminders and tracks adherence, but all clinical decisions route to the prescribing physician. Claire suggests ICD-10 codes but the provider makes all coding decisions.

How is patient data (PHI) protected?

PHI is encrypted at rest (AES-256) and in transit (TLS 1.3). Before any data reaches the language model, PII and PHI are redacted — the AI processes de-identified clinical context. Raw audio from ambient listening is not stored after Claire completes transcription. Access follows the HIPAA minimum necessary standard. Rita monitors all access patterns for anomalies.

How long does deployment take for a healthcare practice?

A typical 6-employee healthcare deployment takes 8-12 weeks. Phase 1 (Workforce Discovery, 2 weeks) maps your clinical workflows, EHR configuration, and payer mix. Phase 2 (Build & Deploy, 6-10 weeks) deploys employees incrementally — typically starting with Grace (scheduling) and Vera (billing) for fastest ROI. Phase 3 is ongoing management with monthly performance reviews.

Can AI employees verify insurance and handle prior authorizations?

Yes. Vera runs batch 270/271 eligibility checks via Availity at 6 AM daily for all patients scheduled within 48 hours. She confirms copay amounts, deductible status, and in-network status. For prior authorizations, Vera submits requests via CoverMyMeds, tracks approval status daily, and escalates denials with recommended next steps. Prior auth turnaround drops from days to hours.

Will AI employees replace our clinical staff?

No. AI employees handle administrative tasks that consume 40%+ of staff time — documentation, scheduling, insurance verification, reminder calls, referral tracking, and compliance monitoring. Your clinical team still makes every decision requiring medical judgment, patient empathy, or clinical expertise. In practice, staff report higher satisfaction because they focus on patient care instead of data entry and phone calls.

What EHR systems do you integrate with?

Bitontree healthcare AI employees integrate bidirectionally with Epic (via FHIR) and Athenahealth. For billing, we integrate with Availity and Change Healthcare for 270/271 eligibility and ERA/835 remittance. CoverMyMeds handles prior authorization submission and tracking. Klara manages HIPAA-compliant patient communication. All integration is read-write within your existing EHR workflow.

How does medication adherence and patient outreach work?

Marcus sends personalized medication reminders via SMS and voice based on each patient's prescription schedule. He runs chronic care check-ins for CCM patients, tracks adherence patterns, and escalates immediately if a patient reports side effects or intent to stop a medication. He also identifies patients overdue for preventive screenings (mammograms, colonoscopies, HbA1c tests) and sends outreach with scheduling links.

How does the AI handle claim denials?

Vera analyzes denial reason codes (CO-4, CO-16, CO-197, PR-1), identifies root causes (missing modifier 25, incorrect NPI, lapsed prior auth, medical necessity), and either auto-corrects and resubmits clean claims same-day or escalates complex denials to your billing manager with a full analysis and drafted appeal letter. Common denials like CO-4 and CO-16 are fixed and resubmitted automatically.

How does HIPAA compliance monitoring work?

Rita scans EHR access logs daily for unusual patterns: after-hours access by administrative staff, billing personnel accessing clinical notes outside their role scope, bulk record downloads, and access to non-assigned patients. Each flag includes the specific user, timestamp, record accessed, and HIPAA risk classification. Rita also tracks staff training certifications, quality measures, and generates audit-ready documentation packages on demand.

How does referral tracking improve completion rates?

Owen tracks every referral from the moment the provider places the order to the moment the consultation note is filed back in the chart. He identifies in-network specialists, submits prior authorizations via CoverMyMeds, transmits clinical records, confirms patient scheduling, and follows up on stalled referrals. Urgent referrals stalled beyond 5 days with concerning patient history trigger immediate provider notification. Completion rates improve from 71% to 94%.

Does the AI help with HEDIS and MIPS quality measures?

Yes. Rita tracks all relevant HEDIS and MIPS measures in real time — Comprehensive Diabetes Care (HbA1c control), Controlling High Blood Pressure, Breast Cancer Screening, Colorectal Cancer Screening, Tobacco Screening & Cessation, and Depression Screening. She calculates current rates, identifies specific patients creating gaps, and generates gap closure action lists for the care team. Marcus sends outreach to patients overdue for screenings.

How much do AI employees for healthcare cost?

Bitontree Workforce pricing is per-employee, not per-provider or per-patient. A typical 6-employee healthcare deployment replaces $150-200K in annual salary costs (front desk coordinator, medical scribe, billing coordinator, referral coordinator) plus recovers revenue from reduced denials and filled no-show slots. Deployment starts with a Workforce Discovery engagement. Contact us for a custom quote based on your practice size and provider count.

Your first hire takes 15 minutes

Book a Workforce Discovery session. We map your practice workflows and show you which AI employees would have the biggest impact. HIPAA-compliant. BAA included.