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AI Integration
HIPAA CompliantEHR ConnectedVoice Commands

Intégration IA en Santé

Vos infirmières perdent 3 heures par jour en appels que l'IA pourrait gérer

8,600
Monthly Searches
AI for healthcare keywords
3hrs/day
Admin Time Saved
Per staff member
HIPAA
Fully Compliant
BAA included
95+
Lighthouse Score
Performance target
What Healthcare AI Integration Actually Does — And What It Won't Touch

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.

Où les projets échouent

Nurses are burning roughly 3 hours every single day on scheduling and phone calls That's clinical time -- time that should be spent with patients -- disappearing into administrative work that AI can handle in seconds. And it adds up fast across a full nursing staff.
Insurance claims pile up unprocessed for days -- sometimes weeks -- because your billing team is just overwhelmed That backlog isn't just an inconvenience. It's a direct hit to cash flow and delayed reimbursements that compound into real financial problems for the practice.
Patients are sitting on hold for 20, sometimes 30 minutes just to book a follow-up That's not a minor friction point. People hang up, get frustrated, and honestly -- they start looking at other providers. Patient satisfaction scores drop and you don't always see why until it's too late.
Clinical documentation is eating 45 minutes per patient encounter Do that math across a full day of appointments and you've got physicians staying late, skipping breaks, and burning out fast. Documentation backlogs follow, and quality suffers.
Your EHR is sitting on years of patient data -- and it's basically unsearchable Critical history is buried in unstructured notes that nobody has time to dig through. So clinicians make decisions without the full picture. That's a patient safety issue, not just an efficiency one.
You've probably already tried a chatbot And it probably gave patients the same generic FAQ answers it gives everyone, because it couldn't actually touch your scheduling system or patient records. So patients stopped using it. That's not an AI problem -- it's an integration problem. And it's fixable.

Conformité

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.

Ce que nous construisons

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

Notre processus

01

Clinical Workflow Audit

First, 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.
Week 1
02

HIPAA Architecture

Before 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.
Week 2
03

EHR Connection

We 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.
Week 3-5
04

AI Training and Testing

Generic 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.
Week 6-8
05

Phased Rollout

We 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.
Week 9-12
Claude APIFHIR APIElevenLabsSupabaseVercelTwiliopgvector

Questions fréquentes

Est-ce conforme à la HIPAA ?

Oui -- et voici précisément comment. Toutes les données chiffrées. Des BAA en place avec chaque fournisseur d'hébergement que nous utilisons. L'IA traite les données des patients en mémoire sans rien écrire dans le stockage persistant. Journaux d'audit complets de chaque interaction. Nous avons construit des systèmes conformes à la HIPAA pour des hôpitaux et cliniques auparavant, et nous pouvons fournir une documentation de conformité pour que vos équipes juridiques et informatiques examinent.

Avec quels systèmes DSE s'intégrez-vous ?

Epic, Cerner et Allscripts via FHIR R4 sont les trois principaux. Mais nous nous connectons aussi à des systèmes de gestion de cabinet, des plateformes de facturation et des bases de données sanitaires personnalisées. Honnêtement, si votre système a une API, nous pouvons y connecter l'IA. Cela couvre la plupart de ce qui existe.

L'IA peut-elle vraiment gérer la planification des patients ?

Oui -- et c'est plus spécifique que les gens ne l'attendent. Une infirmière dit « planifier un suivi pour le patient de la chambre 412 avec le Dr Patel dans deux semaines ». L'IA vérifie le calendrier réel du Dr Patel, trouve des créneaux libres, effectue la réservation et envoie une confirmation SMS au patient. Tout cela se fait dans votre vrai système de planification. Pas un prototype. Pas une simulation.

Combien coûte l'intégration de l'IA en santé ?

Un assistant IA de planification connecté à votre DSE coûte 30 000 à 50 000 dollars. La suite complète -- traitement des sinistres, chatbot de triage, documentation clinique, le tout -- est de 80 000 à 150 000 dollars. Et c'est pour un système qui économise 15 heures ou plus par semaine par membre du personnel. Les mathématiques s'avèrent assez rapidement.

Combien de temps prend la mise en œuvre ?

Un seul flux de travail comme la planification prend 4 à 6 semaines. La suite IA complète en santé est 10 à 12 semaines -- cela inclut la configuration de la conformité HIPAA, le travail d'intégration DSE, la configuration du personnel et un déploiement par phases commençant par un département. Précipiter la partie conformité est comment les projets vont mal, donc nous ne le faisons pas.

Qu'en est-il de la confidentialité des données des patients ?

Les données des patients ne quittent jamais votre infrastructure. Lorsque l'API Claude traite une requête, cela se fait en mémoire -- les informations des patients ne sont stockées nulle part. Toutes les connexions sont chiffrées. Tous les accès sont enregistrés. Et nous fournirons à vos équipes juridiques et informatiques une documentation de conformité complète pour qu'elles puissent tout vérifier elles-mêmes plutôt que de simplement nous faire confiance.

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