Imaging, labs, notes, documents, problem lists, medication history, and molecular data sit beside each other.
SaroviX
The clinical workspace where context does not disappear.
SaroviX is built for departments where the doctor has to understand scans, notes, labs, genomics, documents, prior visits, patient history, and the next administrative step at the same time.
Why this exists
The problem is not that doctors need another app.
The problem is that the work of medicine is split across many surfaces: PACS, notes, lab portals, documents, inboxes, calendars, genomics reports, coding tools, order entry, and local memory. SaroviX is designed as a workstation, not a dashboard.
The design principle is simple: if a physician is reasoning about a patient, the relevant context should already be close enough to inspect, question, cite, and turn into action.
Voice-to-note, SOAP drafts, coding hints, follow-up tasks, and referral summaries reduce repetitive work.
The system can keep continuity across encounters so every visit does not start from zero.
AI can draft, surface, segment, summarize, and check. Medical responsibility stays with clinicians.
Work surfaces
Clinical AI has to touch the actual work.
Imaging agentDICOM/NIfTI viewing, axial/coronal/sagittal review, segmentation, region-based measurements, prior comparison, red flags, and draft impressions for radiology-style workflows.
Voice agentListens during the encounter, remembers the patient context, drafts the note, asks for missing data, and can be spoken to without leaving the workspace.
Clinical recordSOAP notes, problem lists, orders, medications, reports, intake forms, calendar, tasks, patient management, and specialist handoffs.
Molecular contextProtocol outputs, WES/WTS findings, pharmacogenomics, biomarkers, pathway summaries, and therapy history inside the same patient workspace.
Research modeStructured export for tumor board, cohort exploration, molecular modeling, case review, and literature-supported research packets.
Every surface is meant to keep the physician inside the patient context, not send them into another tab.
Clinical examples
How departments can actually use it.
- RadiologyScan review with an imaging agent
Open a CT/MRI series, inspect planes, ask the agent to compare prior findings, segment a region, draft an impression, and preserve the reasoning trail.
- Internal medicineComplex patient review
Summarize prior visits, labs, medications, imaging, referrals, and missing data before the patient enters the room.
- OncologyTumor-board preparation
Combine imaging, pathology, genomics, treatment history, performance status, and literature-supported options into a review packet.
- GeneticsMolecular case discussion
Bring Protocol findings, VUS history, phenotype, family history, and re-analysis status into a clinician-readable workspace.
- Nursing and care coordinationFollow-up without memory loss
Tasks, reminders, patient instructions, referral status, and escalation rules remain attached to the patient timeline.
Implementation
For clinical environments, integration matters as much as UI.
SaroviX should be deployed around a department's real constraints: data residency, imaging formats, EHR integration, identity, audit logs, model governance, consent, clinical sign-off, and local workflow. The goal is not a demo. The goal is a safer operating surface.
Connect existing patient context before asking clinicians to change behavior.
Every automated output should be attributable, editable, and clinician-approved.
Heavy workloads can route through Sarovi Compute without leaving the workspace.
Make the workspace carry the complexity.
SaroviX is where clinical work, AI agents, imaging, biology, and operations meet the person responsible for the decision.
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