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.

Marcus

Patient Communication

Medication Reminders, Chronic Care Check-Ins, and Screening Outreach at Scale

32% improvement in medication adherence, 22 overdue screenings identified weekly, 15 chronic care check-ins daily

Saves nurses 5+ hrs/wk on phone calls Deploys in 6-8 weeks

Hire Marcus See how Marcus works ↓

The problem

Medication non-adherence is one of the most expensive and preventable problems in healthcare. An estimated 50% of patients do not take medications as prescribed, contributing to 125,000 preventable deaths annually in the United States and $528 billion in avoidable healthcare costs. For chronic disease management -- diabetes, hypertension, heart failure, COPD -- adherence is not optional; it is the difference between disease control and emergency hospitalization.

Your nursing staff knows which patients need follow-up calls. The diabetic patient whose HbA1c jumped from 7.1% to 9.2% needs a medication adherence check-in. The post-surgical patient discharged three days ago needs a wound care follow-up. The 54-year-old whose mammogram is 8 months overdue needs a screening reminder. But nurses are spending their clinical hours on phone tag, leaving voicemails, and manually logging call outcomes in the EHR. Five or more hours per week, per nurse, on administrative outreach.

Preventive care gaps compound silently. HEDIS and MIPS quality measures require documented screening completion rates -- mammograms, colonoscopies, HbA1c testing, blood pressure control. When patients fall behind on screenings, the practice's quality scores drop, pay-for-performance bonuses shrink, and patients miss early detection opportunities. Most practices identify overdue screenings only during the annual wellness visit, by which time the patient may be 6-12 months behind on recommended care.

Marcus is your AI Patient Communication specialist. He sends personalized medication reminders via SMS and voice, runs chronic care check-ins for patients with active care plans, identifies patients overdue for preventive screenings, and logs every interaction in the EHR. When a patient reports a side effect or expresses intent to stop a medication, Marcus escalates to the prescribing provider immediately with full medication history.

Saves nurses 5+ hrs/wk on phone calls

That is why you need Marcus.

How it works

How Marcus works, step by step

Each step is automated. Marcus only escalates when human judgment is required.

⚡ Daily 7:00 AM -- medication reminder cycle for chronic care patients

Marcus sends personalized medication reminders to patients with active prescriptions via their preferred channel (SMS or voice). Each reminder includes the medication name, dosage, and any special instructions (take with food, avoid grapefruit). Patient confirmations are logged in the EHR adherence record

⚡ Patient responds to medication reminder -- confirms, reports an issue, or does not respond

Confirmations are logged as adherence data points. Patients reporting side effects receive a brief acknowledgment and are flagged for clinical follow-up. Non-responders receive a follow-up via secondary channel after 30 minutes

⚡ Chronic care management check-in cycle -- patients with active CCM care plans

Marcus reaches out to chronic care patients with structured check-in questions: symptom status, medication adherence, upcoming appointments, and any barriers to care. Responses are summarized and attached to the patient's CCM care plan in the EHR

⚡ Preventive screening analysis -- weekly identification of overdue patients

Marcus cross-references patient demographics, clinical history, and HEDIS/MIPS measure requirements to identify patients overdue for preventive screenings: mammograms, colonoscopies, HbA1c tests, bone density scans, annual wellness visits, and immunizations. Personalized outreach is sent with scheduling links

⚡ Adherence pattern analysis detects 3+ missed doses in a week

Marcus generates an adherence alert for the care team with a summary of missed doses, response patterns, and any patient-reported barriers, enabling proactive intervention before a gap becomes clinically significant

⚡ Weekly outreach summary

Marcus sends a patient outreach digest: medication reminders sent, adherence rates by patient cohort, chronic care check-ins completed, escalations to providers, and overdue screening counts by type. Delivered to the care team and practice manager via Slack

What Marcus handles vs. what stays with you

Clear boundaries. Marcus works autonomously within defined limits and escalates everything else.

✓ Marcus handles

✓ Marcus sends personalized medication reminders to patients with active prescr...
✓ Confirmations are logged as adherence data points
✓ Marcus reaches out to chronic care patients with structured check-in question...
✓ Marcus cross-references patient demographics, clinical history, and HEDIS/MIP...

boundary

■ Your team handles

■ All medication regimen decisions, changes, and clinical recommendations are made exclusively by licensed clinicians
■ Marcus does not provide medical advice, interpret symptoms, or suggest medication adjustments -- he reminds and reports
■ Patients reporting adverse events or safety concerns are immediately connected to clinical staff, never managed by the AI
■ Patients can opt out of automated communications at any point -- opt-out is processed immediately with care team notification
■ Batch screening outreach to more than 20 patients requires practice manager approval before sending

Integrations

Works inside your existing tools

Marcus connects to the platforms you already use. No new software to learn.

Epic Reads & writes

Athenahealth Reads from

Klara Reads & writes

Slack Writes to

Implementation

From zero to Marcus

Marcus is deployed gradually with measurable checkpoints at every stage.

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Deploy time

6-8 weeks

Monitoring mode first, then gradual rollout

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Data required

✓ EHR patient medication lists and dosing schedules via FHIR APIs
✓ Patient contact information, communication preferences, and consent records
✓ HIPAA-compliant messaging platform credentials (Klara or equivalent)
✓ Care team escalation protocols and on-call routing rules
✓ HEDIS/MIPS measure specifications for the practice's payer mix and patient panel

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Pilot process

Pilot targets a defined patient cohort (50 patients with Type 2 diabetes or hypertension care plans) over six weeks. Weeks one and two establish baseline adherence via pharmacy refill data and self-report.

Full validation before production deployment

Your AI team

Works alongside Marcus

These AI employees share data and coordinate with Marcus to cover your full operation.

Deploy Marcus for your healthcare operations

Start with a 90-minute discovery session. We will assess whether Marcus is the right fit for your workflows and show you exactly what changes.

Book a discovery session Back to Healthcare team