Guidant Agentic Health AI

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Agentic Health AI is Guidant AI's conversational intake platform for modern clinical practice. It replaces rigid paper and PDF intake forms with a dynamic, AI-driven conversation that captures the full context of a patient visit — and puts that context to work immediately.

Today, physicians spend two hours on administrative work for every one hour of direct patient care, and 62% report burnout tied to documentation. Intake data that lives in static forms rarely reaches the EHR in usable, structured form. Agentic Health AI shifts that ratio back toward the patient.

The platform works as a single continuous flow. Registration captures identity, insurance, and consent in seconds. A conversational intake survey, powered by NVIDIA Riva, engages the patient in natural dialogue about their visit. Nemotron Ultra then reasons over that conversation to produce a Health Risk Score — a composite risk stratification across cardiac, metabolic, and fall-risk factors — before the patient ever reaches the exam room. From there, the system doesn't stop at summarizing; it acts, scheduling labs, queuing referrals, and flagging care-team follow-ups within guardrails the clinician sets.

During the encounter itself, ambient listening turns the visit into its own documentation. Riva listens throughout — no dictation, no typing, just the clinician and patient talking. Nemotron Ultra drafts a coded, SOAP-formatted note in real time, which the clinician reviews and signs before it ever reaches the record. The signed note and any orders push directly into Epic as structured documentation, not a scanned transcript.

That structure also drives the revenue side of the practice. Charge capture and coding run off the structured note using Nemotron-assisted CPT and ICD-10 coding, before a claim ever leaves the building. Claims are scrubbed and submitted automatically, payer adjudication and payments post back to the patient account, and denials route for correction and resubmission — all tracked against the metrics that matter: days in AR, clean claim rate, denial rate, net collection rate, and cost to collect.

Guidant AI built this on top of the leading medical AI stack: NVIDIA Riva for speech and dialogue, Nemotron Ultra for clinical reasoning, MONAI and RadImageGAN for medical imaging intelligence, and AWS for HIPAA-eligible cloud infrastructure. Integration with Epic runs through FHIR R4 and SMART-on-FHIR, and every data element — demographics, problems, medications, allergies, notes, vitals, labs, procedures, immunizations, encounters, and care team — is USCDI-aligned for nationwide health data exchange. Security is HIPAA-first throughout: TLS 1.3 encryption in transit, AES-256 at rest, PHI minimization, de-identified research pipelines, full audit trails, and BAA-ready agreements with every subprocessor.

The initial market is independent practices in Texas and California, focused on internal medicine and cardiology — roughly 60,000 practitioners. Early use cases include pre-visit intake completed before the patient arrives, cardiology triage for chest pain and related complaints, structured symptom tracking for chronic disease follow-up, and automatic flagging of consented, eligible patients for clinical trial recruitment. In early results, physician documentation time drops by 40%, symptom detail captured before the visit triples, and revenue per encounter improves by 18% through cleaner coding.

Guidant AI's digital health layer is what makes Agentic Health AI work as a connected system rather than a point solution. It's organized around four agents, all orchestrated by Nemotron.

The first enhances patient engagement — always-on, personalized agents that handle call centers, enrollment, triage, and scheduling, supporting continuity of care outside the four walls of a visit. The second improves the clinician experience, with on-demand agents that document and summarize clinical interactions and recommend next steps, directly reducing administrative burden. The third optimizes the back office, giving the platform interoperability across EHR, patient management, and scheduling systems rather than requiring practices to change how they already operate. The fourth improves clinical trials, using reasoning agents to optimize trial design and operations and to surface eligible patients as they're identified in the course of ordinary care.

Together, these four agents connect every part of the patient and practice lifecycle — engagement, documentation, operations, and research — into one system built on the same clinical reasoning engine.