Your Nurses Are Doing Work AI Should Handle
If you're running a health system where nurses spend 3 hours daily on phones instead of patients, your AI integration window is closing.
Your nursing staff spends 3 hours daily on scheduling, claims processing, and documentation. Your patients wait 20 minutes on hold to book a follow-up. Your admin team manually pulls insurance claims every Friday afternoon. We connect Claude to your Epic, Cerner, or Allscripts system so a nurse can say schedule a follow-up for room 412 with Dr. Patel in 2 weeks and it actually happens -- checks the calendar, finds a slot, books it, sends the patient a confirmation SMS.
Your patient calls at 7 AM to reschedule. The AI picks up, checks your Epic calendar through a FHIR R4 connection, offers three slots based on provider availability and insurance pre-auth requirements, books the appointment, sends confirmation via SMS, and logs the interaction in your EHR audit trail. Your front desk never touched it. That's healthcare AI integration -- not a chatbot that sits beside your systems, but code that reads and writes directly into Epic, Cerner, Allscripts, your billing platform, and your scheduling workflows. It processes insurance claims by pulling patient records, cross-referencing CPT codes against payer rules, flagging denials before submission. It triages incoming messages using clinical decision trees your team defines. It generates visit notes from recorded consultations while your physician maintains eye contact with the patient. Every interaction is HIPAA-compliant: data encrypted in transit and at rest, BAAs signed with Supabase and Anthropic, zero persistent storage of PHI, audit logs on every AI touch. Your compliance officer gets documentation before deployment, not after something breaks.
What is holding your current website back?
AI should handle the paperwork so clinicians can focus on patients.
How We Build This Right
Every safeguard, built in from Day 1.
AI Scheduling Assistant
Voice-activated appointment booking that's actually connected to your EHR calendar -- not a demo environment, your real calendar. A nurse says "schedule a follow-up" and the AI checks availability, books the slot, and fires off a patient confirmation via SMS or email. It works with Epic, Cerner, and Allscripts through FHIR API connections. No clicking through five screens. Just done.
Claims Processing AI
AI reads your unprocessed insurance claims, validates CPT codes, flags discrepancies, and generates submission-ready batches. It pulls directly from your billing system -- either on a set schedule or on demand. The real kicker is how many claim errors it catches before submission, which means fewer rejections and faster reimbursement.
Patient Triage Chatbot
A symptom assessment chatbot lives on your website or patient portal. It evaluates urgency, figures out the right care level, and routes the patient to the appropriate department. And it's not just making guesses -- there are clinical guardrails built in, plus escalation paths to human staff when anything falls outside defined parameters. Pretty straightforward in concept, but the implementation details matter enormously here.
Clinical Documentation AI
Voice-to-notes during consultations. The AI listens, generates structured clinical notes from the conversation, and formats them to match your specific EHR template requirements. Physician reviews, makes any edits, and approves. That's it. No more 45-minute documentation sessions after clinic hours.
Drug Interaction Checker
During prescribing workflows, AI queries your live formulary database and cross-references it against the patient's current medication list. Flags potential drug interactions, contraindications, and dosage concerns -- in real time, before the prescription goes out. It's not a replacement for clinical judgment. But it's a safety net that doesn't take breaks.
Patient Communication
Appointment reminders, post-visit follow-up instructions, care plan summaries -- all automated, all sent via SMS and email. But here's what makes it useful rather than just convenient: the AI personalizes each message based on the patient's actual records and treatment history. Not a mail merge. Real personalization.
What We Build
Purpose-built features for your industry.
Connects via FHIR R4 APIs to Epic, Cerner, and Allscripts with read-write access to scheduling, billing, and clinical records
Your nurses reclaim 3 hours per day from phone scheduling and insurance verification calls
Processes voice commands through ElevenLabs so your clinicians stop typing during patient encounters
Your billing team processes claims in minutes instead of letting backlogs compound for weeks
Encrypts all patient data in transit and at rest with signed BAAs from every vendor in the stack
Your patients book appointments in under 90 seconds without sitting on hold until they hang up frustrated
Logs every AI interaction with PHI in tamper-proof audit trails your compliance team can export
Your physicians document encounters in real time using voice instead of staying late to finish notes
Flags clinical recommendations outside defined parameters and escalates to physician review automatically
Your clinicians surface buried patient history from unstructured EHR notes during the actual consultation
Deploys alongside your existing EHR without replacing workflows your staff already knows
Your practice hits ROI within the first month through measurable time savings tracked in your analytics dashboard
Built on a Modern, Secure Stack
Our Development Process
From discovery to launch. Quality at every step.
Clinical Workflow Audit
Week 1First, we shadow your staff for a week. Every admin task, every phone call, every manual process -- we map it all. Then we identify where AI will have the highest impact, based on actual time data. Not assumptions. Not demos. What's really happening in your building.
HIPAA Architecture
Week 2Before any development starts, we design the full integration architecture -- encryption, access controls, BAAs, audit logging. Then a compliance review. Legal and IT both sign off before we write a line of code. This step takes longer than clients expect, but it's the reason everything downstream goes smoothly.
EHR Connection
Week 3-5We build the FHIR API connections to your EHR and test everything against anonymized data first. Nobody touches production systems until we've validated behavior in a safe environment. That's non-negotiable on our end.
AI Training and Testing
Week 6-8Generic AI doesn't work in clinical settings. So we configure everything to your specific workflows, your terminology, your protocols. Then real staff run real scenarios -- not scripted demos -- before we call anything done.
Phased Rollout
Week 9-12We don't flip a switch and walk away. We start with one department, measure results for 60 days, optimize based on what we learn, and then expand. Phased rollout keeps risk low and gives staff time to actually get comfortable with the tools.
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