Most healthcare AI pilots look great in demos and stall in production. Learn how HealthSync AI eliminates harmful fragmentation across EHR, billing, CRM, and medical knowledge while maintaining necessary governance friction through our three interoperable pillars: EquiScan™, OrchestrAI™, and Pulse3™.
HealthSync AI Team
Healthcare AI Innovation Team
Most healthcare AI pilots look great in demos and stall in production. Recent market research shows only a small minority of enterprises capture real value from GenAI because tools aren't embedded into core workflows—and "shadow AI" spreads as staff adopt disconnected apps on their own. Healthsync AI takes the opposite tack: we design for necessary friction (governance, handoffs, audit) while eliminating harmful fragmentation (silos across EHR, billing, CRM, and medical knowledge).
Our platform anchors on three interoperable pillars:
Voice & RAG — Healthsync's fairness-aware voice agents with a RAG agent that provides superhuman recall across PubMed/PMC, payer bulletins, policies, and each client's EHR and document stores—cited, auditable, and bias-checked.
Unified CRM + EHR integration — The middleware and orchestration layer that binds Epic, Oracle Health (Cerner), athenahealth, NextGen and other systems through FHIR/SMART, eliminating "app sprawl" and new silos.
AI Billing — An AI-driven medical billing engine that converts structured/unstructured clinical data into clean claims and defensible narratives, aligned to current CMS interoperability and prior-authorization rules.
We align to NIST's AI Risk Management Framework, FDA GMLP/PCCP guidance, and WHO ethics for health AI—so hospitals can scale safely.
Healthsync's stance: keep "productive friction" (policies, review gates, audits) where it improves safety, but remove fragmentation by unifying data, identity, and task flow across EHR, CRM, billing, and knowledge sources.
General chatbots and point tools often cannot: (1) speak the same identity/permissions language as your EHR, (2) ground answers in your policies and formularies, (3) produce claim-ready output, or (4) provide audit trails aligned to NIST/FDA expectations. The result is AI sprawl—yet another layer detached from clinical, operational, and revenue systems.
Healthsync solves this with a platform approach: EquiScan voice agents + OrchestrAI™ + Pulse3 billing, all bound by standards-based data exchange (FHIR/SMART), role-based access, and full traceability.
EquiScan is Healthsync's voice agent stack with retrieval-augmented generation (RAG) that grounds every response in up-to-date, credentialed sources (e.g., PubMed/PMC) and your local corpus (EHR notes, SOPs, referral forms, payer bulletins). It returns cited snippets in-line and logs each retrieval for audit.
Why it matters. RAG has been shown to improve factuality and reduce hallucinations in clinical tasks and specialty workflows (e.g., radiology consults). EquiScan implements best-practice retrieval, reranking, and grounding across vector stores such as FAISS or pgvector.
PubMed (E-utilities), PMC full text (OA Web Service, BioC) for evidence-linked answers and patient-safe education.
EHR (FHIR resources), orders, policies, formularies, and local templates via OrchestrAI™ connectors.
Bias checking. EquiScan runs fairness checks on retrieved corpora and drafts, highlighting potential representativeness gaps and surfacing alternative evidence, in line with WHO guidance and NIST AI RMF risk controls.
Typical outcomes. Faster, cited answers for triage/education; better first-pass documentation; fewer back-and-forths thanks to longitudinal context and policy-aware prompting.
A CRM-grade orchestration layer that normalizes identities, permissions, and events across Epic, Oracle Health (Cerner), athenahealth, NextGen, and other systems through FHIR/SMART patterns. It gives EquiScan and Pulse3 a shared, governed foundation—no more app sprawl, no new silos.
Why it matters. The 2024–2025 regulatory push (ONC HTI-1; CMS Interoperability & Prior Authorization) raises the bar on open APIs and payer/provider exchange. OrchestrAI™ helps organizations comply while actually using that connectivity to automate work.
SMART-on-FHIR launch + backend services for secure, scoped access to patient/encounter data. Learn more about SMART Health IT →
FHIR-native queues that trigger EquiScan calls (e.g., after a new referral) and hand claims to Pulse3 with full traceability.
Pulse3 ingests clinician-authored notes, EquiScan-generated narratives, orders, and device data to suggest ICD-10/CPT/HCPCS, assemble claim-ready packets, and draft appeal language—then syncs back to your PMS/clearinghouse.
Why it matters. CMS's latest interoperability rules and payer APIs make it feasible to automate claims and prior-auth while preserving audit trails. Pulse3 aligns coded output with clinical evidence captured by EquiScan and provenance stored by OrchestrAI™.
Operates under NIST AI RMF and the Generative AI profile; model/tool risk registers; roll-forward/rollback of prompts, retrieval indexes, and templates.
FDA GMLP and PCCP principles inform data, updates, and monitoring for agent behaviors tied to clinical workflows.
WHO guidance for AI in health shapes transparency, explainability, and human-in-the-loop safeguards.
Superhuman recall, human judgment. EquiScan's RAG agent can "read" more in a minute than any human team could—scanning PubMed/PMC, payer rules, and your internal binders—then cites each source in plain language. Clinicians stay in control; the agent abstains and escalates when uncertain. Evidence shows RAG improves factuality for medical tasks and local, edge-deployable models.
No more "AI in every corner." MIT and others have noted that individual staff often adopt AI in isolation because official tools don't fit their work; Healthsync channels that energy into a unified system—reducing security risk and preventing AI/PHI sprawl.
EquiScan drafts encounter summaries and patient education with citations; OrchestrAI™ posts finalized notes to EHR; Pulse3 suggests fully justified codes and assembles the claim/PA packet.
Centralized governance replaces "point-bot" sprawl; fewer denials via evidence-linked narratives; faster prior-auth conversation leveraging payer-specific artifacts. (Aligned to CMS Interoperability & Prior Auth.)
A single platform that Breaks the Silo—voice, RAG, CRM/EHR, and billing in one governed fabric.
EquiScan always shows its work (citations/snippets from PMC and your internal knowledge base).
Built to align with NIST AI RMF, FDA GMLP/PCCP, WHO ethics, and U.S. interoperability/PA rules.
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