NY healthcare is $280B+ annually, and every patient interaction is HIPAA-floor.

PAA

People also ask

• Is Areza HIPAA-BAA ready for a NY mid-market specialty practice?

  Yes. BAA signed pre-engagement on every healthcare engagement — no exception. We configure no-PHI-in-prompts architecture for every client; no PHI flows to default-OpenAI or default-Anthropic paths. Where inference is required and PHI is in scope, we route through AWS Healthcare-eligible regions or equivalent BAA-covered providers (Bedrock for Claude + Llama, Comprehend Medical, Transcribe Medical). Any inadvertent PHI exposure routes to dedicated breach-notification workflow: 60-day HHS notification + 60-day NY AG notification under SHIELD + state DOH where applicable. HIPAA penalties: $141–$2.13M per violation tier.

• How does NY Public Health Law Article 27-F affect AI vendor architecture?

  NY Public Health Law §§ 2780–2787 (Article 27-F) imposes stricter-than-HIPAA confidentiality on HIV-related information; written informed consent required for most HIV-related disclosures; HIV-related testing requires specific pre-test counselling. Applies to every NY provider touching HIV-related information — primary care, infectious disease, OBGYN, dermatology, dental. Areza configures carve-out treatment: HIV-related information excluded from AI processing unless documented Article 27-F-compliant authorization is provided. The Voice Agent script avoids extracting HIV information; any disclosure triggers immediate human-handoff.

• What did NYU Langone deploy with Abridge / DAX ambient AI scribe?

  NYU Langone deployed ambient AI scribe at enterprise scale in 2024 — Abridge or Microsoft DAX Copilot (multi-vendor pilot consolidating), with reported ~2 hours/day physician time savings. Architecture: in-room microphone + on-device or cloud speech-to-text + LLM SOAP-note generation + physician review pre-EMR-commit + Epic-integrated note write-back. HIPAA-BAA covered, audit-log retention compliant with Article 27-F + NY DOH retention rules. NewYork-Presbyterian and Mount Sinai followed at similar scale across 2024. Areza ships the patient-acquisition + administrative + knowledge-management layer that sits on top.

• Does the Voice Agent support bilingual EN + ES for Bronx + Queens deployments?

  Yes. NY State has ~3M+ Spanish-speaking residents; Bronx + Queens + Brooklyn outer-borough inbound is disproportionately Spanish-language. The Voice Agent supports en-US + es-US (US-Hispanic Spanish, distinct from Mexico-resident or Castilian Spanish) with caller-side language preference detection on first greeting. HIPAA + Article 27-F-aware pre-screen scripts configured in both languages. Section 1557 ACA language-access requirements satisfied for any healthcare client receiving federal funding. We don't use translation-pass — Spanish scripts authored natively by US-Hispanic-Spanish-fluent healthcare copywriters.

• When does the Knowledge Bot cross from FAQ into medical advice?

  Never — strict no-medical-advice posture. Every Knowledge Bot answer touching symptom, condition, or treatment includes `this is not medical advice — speak to a qualified provider` plus a human-handoff path. Voice Agent trigger phrases (`is this serious?`, `is this cancer?`, `should I go to the ER?`, `should I stop taking X?`) route to scheduling + nurse-line handoff inside 30 seconds. No differential diagnosis, treatment recommendations, or medication advice. For mental-health clients, explicit 988 Suicide & Crisis Lifeline + NY State Office of Mental Health helpline handoff is configured. Article 27-F-aware pre-test-counselling routing for HIV-exposed practices.

Frequently asked

• Are you HIPAA-BAA ready? How do you handle PHI?

  Yes. We sign a Business Associate Agreement before any data flows on every healthcare engagement; no exception. We configure no-PHI-in-prompts architecture for every healthcare client — no PHI in any prompt sent to OpenAI, Anthropic, or any non-BAA-covered inference path. Where AI inference is required and PHI is in scope, we route through AWS Healthcare-eligible regions or equivalent BAA-covered providers (AWS HIPAA-eligible services include Bedrock for some Claude + Llama models, plus Comprehend Medical, Transcribe Medical). Any inadvertent PHI exposure routes to a dedicated breach-notification workflow: 60-day HHS notification + 60-day NY AG notification under SHIELD + state DOH notification where applicable. We do not use a default-OpenAI or default-Anthropic prompt path for any HIPAA-covered client. Audit logs are retained for the period the client requires (typically the longer of 6 years HIPAA + state DOH retention rules).

• How does Areza handle NY Public Health Law Article 27-F (HIV confidentiality)?

  Article 27-F (NY Public Health Law §§ 2780–2787) imposes stricter-than-HIPAA confidentiality on HIV-related information; written informed consent required for most HIV-related disclosures. For clients with HIV-related practice exposure (primary care, infectious disease, OBGYN, dermatology, dental, mental-health), we configure carve-out treatment — HIV-related information is excluded from AI processing unless the client's compliance team provides documented Article 27-F-compliant authorization. The Voice Agent script avoids extracting HIV-related information on inbound calls; any caller-disclosed HIV-related information triggers an immediate human-handoff to a designated clinical staff member with Article 27-F training. Audit logs are retained separately from non-Article-27-F audit logs to preserve the confidentiality perimeter.

• Does the Voice Agent support bilingual EN + ES for outer-borough deployments?

  Yes. NY State has ~3M+ Spanish-speaking residents; Bronx + Queens + Brooklyn outer-borough inbound is disproportionately Spanish-language. The Voice Agent supports en-US + es-US (US-Hispanic Spanish — distinct from Mexico-resident Mexican Spanish or Castilian Spanish) with caller-side language preference detection on the first greeting. HIPAA + Article 27-F-aware pre-screen scripts are configured in both languages. Section 1557 ACA language-access requirements are satisfied for any healthcare-vertical client that receives federal funding. We do not use a translation-pass approach — Spanish-language scripts are authored natively by US-Hispanic-Spanish-fluent copywriters with healthcare-vertical experience.

• How do you handle the medical-advice perimeter for Knowledge Bot and Voice Agent?

  Strict no-medical-advice posture. Every Knowledge Bot answer that touches a symptom, condition, or treatment includes a `this is not medical advice — speak to a qualified provider' disclaimer plus a clear human-handoff path. Voice Agent trigger phrases (`is this serious?', `is this cancer?', `should I go to the ER?', `is this contagious?', `what does this medication do?', `should I stop taking X?') route to scheduling + nurse-line handoff inside 30 seconds. The Knowledge Bot does not offer differential diagnosis, treatment recommendations, medication advice, or any guidance that could substitute for a qualified provider. For mental-health practice clients, we add explicit crisis-resource handoff (988 Suicide & Crisis Lifeline + NY State Office of Mental Health helplines). For practices with HIV exposure, Article 27-F-aware pre-test-counselling routing is configured.

• How does ADA accessibility apply to a healthcare marketing site?

  ADA Title III accessibility requirements apply to healthcare marketing sites — healthcare is the second-most-ADA-sued vertical after retail. We ship every Foundation engagement with ADA WCAG 2.1 AA compliance verified: keyboard navigation, screen reader compatibility (NVDA + JAWS + VoiceOver tested), 4.5:1 colour contrast minimum, ARIA labelling on interactive elements, alt text on every image, captions + transcripts on every video, focus indicators visible, no autoplay, no flash-triggering content (epilepsy safety). Section 1557 ACA language-access requirements layer on top — meaningful access for limited-English-proficiency patients via bilingual EN + ES content and/or translated PDFs of key disclosures rendered as HTML where possible. ADA + Section 1557 compliance is configured at launch, not bolted on post-launch.

• Does AI Search work for `[specialty] near me' queries dominated by ZocDoc and Healthgrades?

  AI Overviews and ChatGPT route around ZocDoc + Healthgrades + Vitals + WebMD 25–40% of the time on `find a [specialty] who accepts [insurance] in [neighbourhood]' queries, citing a mix of provider-bio pages, hospital-affiliation pages, state DOH facility-listing pages, Doximity profiles, peer-reviewed publication co-authorships (PubMed), and patient-review aggregation. NYC mid-market specialty practices with structured provider bios (MedicalSpecialty + Physician + MedicalProcedure schema), authoritative procedure pages, schema-marked FAQ on procedures + insurance + recovery, and llms.txt allow-listing pick up citation share that previously had to be bought through ZocDoc subscription + Healthgrades premium listings. The AI Search retainer compounds over 90–120 days; the first month is content + schema deployment, the second is citation tracking + iteration, the third onwards is compounding citation share.

• What pricing should a NY mid-market healthcare practice or healthtech scaleup expect?

  Foundation starts at USD $5,200 for a 2–4 week conversion-first build with HIPAA-BAA architecture, MedicalSpecialty + Physician + MedicalProcedure + Hospital + LocalBusiness schema, ADA WCAG 2.1 AA compliance, Section 1557 ACA language-access, NY SHIELD-aligned cookie banner, NY Public Health Law Article 27-F awareness for HIV-related practices, NY Mental Hygiene Law awareness for mental-health practices, llms.txt configured for ChatGPT + Perplexity + Claude allow-list. AI Search retainer starts at USD $430/month with named-target citation tracking. Voice Agent for inbound patient intake + scheduling + insurance pre-screen + bilingual EN + ES adds USD $1,500–$2,200/month depending on call volume + language requirements. A typical NY mid-market healthcare engagement combines Foundation + AI Search + Voice Agent at USD $7,500–$11,000 setup plus USD $1,800–$2,900/month. Knowledge Bot + Workflow Ops for prior-auth + denial appeal + HCAHPS routing adds USD $1,600–$2,400/month for health-system-scale clients.

• How does Areza differ from Cedar, Olive-pattern RCM vendors, or NYC healthtech-marketing boutiques?

  Cedar is the enterprise patient-billing AI platform — typically deployed at health-system scale with $250K+/year contracts. Olive-pattern RCM vendors (Notable Health, Waystar AI features, Availity AI) cover the prior-auth + claims-processing + denial-appeal layer at enterprise scale. NYC healthtech-marketing boutiques (the long tail of agency vendors serving NY healthcare) cover SEO + content + paid media + brand work but typically do not ship HIPAA-BAA architecture out of the box, do not configure Article 27-F carve-outs, and do not integrate with Epic / Cerner. Areza is purpose-built for the AI-search + agentic-automation + voice + HIPAA-compliant marketing infrastructure layer at mid-market NY specialty practices (10–500 providers) and Series A–C healthtech scaleups — the segment that enterprise vendors do not serve at price and that needs to compete with NYP / Mount Sinai / NYU Langone / MSK satellite-clinic marketing on a fraction of the budget. The honest split: hire Cedar for enterprise billing, hire Olive-pattern vendors for RCM at scale, and bring Areza in for the marketing + AI-search + Voice Agent + Knowledge Bot layer.