Virtual Hospital
Virtual Hospital Request a demo

A hospital that thinks, and learns from its physicians.

Admit a patient and the MedGemma router sends the case to the right specialist agent. Each specialist reasons from its own embedded knowledge, NVIDIA Nemotron assembles the report, and a physician conducts the final clinical review.

Request a demo Follow a patient
Evidence-groundedPhysician-reviewedTrained on clinician feedback
Grounded in
PubMedNLMopenFDAU.S. FDARxNavNLMMedGemmaGoogleNVIDIANemotronHarrison's21st Ed.Braunwald'sHeart DiseaseSchwartz'sSurgeryTintinalli'sEmergency MedicineAdams and Victor'sNeurologyMandell'sInfectious DiseasesWilliamsGynecologySchwartz'sSurgeryTintinalli'sEmergency MedicineAdams and Victor'sNeurologyMandell'sInfectious DiseasesWilliamsGynecology
Patient journey

From the front door to discharge, one trajectory.

Every encounter moves through the same four stations. You can watch each transition happen, and the record follows the patient the whole way.

  1. 01

    Intake & triage

    Demographics, chief complaint, history, medications, allergies and baseline vitals, scored on the Emergency Severity Index.

    ESI triage rating
    12345
    AssignedEmergency Dept.
    AllergiesNKDA
  2. 02

    Attending examination

    An AI attending agent for internal medicine works up the case and drafts a differential, step by visible step.

    Agent reasoning
  3. 03

    Workup & evidence

    Labs, ECG and imaging are read against retrieved textbook passages, so each claim carries its source.

    Evidence retrieved
    Troponin I, markedly elevatedLab
    NSTEMI managementBraunwald's
    Antiplatelet loadingHarrison's
    Ticagrelor interactionsopenFDA
  4. 04

    Review & discharge

    A physician grades the report on four dimensions and verifies it. Only then does the plan reach the record.

    Physician evaluation
    DiagnosisCorrect
    ReasoningSound
    WorkupAppropriate
    TreatmentSafe
    Signed by attending physician
Knowledge books

Grounded in the books physicians trust.

Every answer starts with a semantic search across indexed textbook sections. The agents cite what they retrieve, and you can open each passage.

47,806Indexed textbook sections
12Inpatient disciplines
< 18 msRetrieval latency
3Live sources: PubMed, openFDA, RxNorm
NSTEMI dual antiplatelet therapy
Physician reviewHover a node to see how it feeds the loop. Drag to rearrange.
Physicians in the loop

Every signature makes the next case better.

Approved and rejected reports become preference pairs. The model is retrained when you choose, then benchmarked against the base model before it goes back on the ward.

  • Graded, not just approvedDiagnosis, reasoning, workup and treatment safety are scored separately, with a star rating and notes.
  • A dataset you can inspectOpen the preference dataset and see exactly which judgements shaped the model.
  • Benchmarked before releaseEach new policy is compared with the base model on diagnostic accuracy, test choice and contraindication avoidance.
Inside the platform

Nine departments, one workspace.

Intake & triageManual admission or synthetic patient cohorts, with ESI scoring.
Patient directoryInpatient census, bed board and vitals over time.
Staff rosterHuman clinicians and AI specialists, with shifts and live status.
Clinical reportsThe physician review queue for every AI-drafted report.
Reviewing archiveSigned evaluations, grades and approval rates in one place.
Knowledge booksSemantic search across Harrison's and Braunwald's.
Knowledge sourcesApproved endpoints such as PubMed, openFDA and RxNorm, kept in sync.
Policy benchmarkBase model against the physician-guided policy, case by case.
Trajectory graphThe live path of each encounter through the hospital.
Immediate Access

Experience the live clinical workspace.

Launch the Virtual Hospital demo immediately to explore patient admissions, real-time telemetry, specialist clinical reasoning, and the physician review queue.