santhica.
SANTHICA AGENTS

Shared context.
Purposeful assistance.

Three focused roles: help the team understand the history, structure clinical information, and keep the next care action visible.

CLINICAL INTELLIGENCE AGENT

The context behind your next decision.

Bring relevant history, trends, medication context and missing information into view — and escalate the results that must not be missed, with the clinician in control.

A connected history helps the team review prior encounters, investigation trends and medication information together. AI surfaces context for clinical review; it does not replace clinical judgement.

Critical lab value escalation. When an investigation or blood report is uploaded, the agent parses the result against reference ranges and flags life-threatening or abnormal values — a critical potassium, a severe anaemia. The flag is raised per patient and gates review, so an abnormal result is acknowledged rather than scrolled past. Patients with pending or abnormal investigations stay on a tracked follow-up list.

PATIENT CONTEXT · SAMPLE
Previous visits & investigationsConnected
Medication & allergy historyReview
Trends, risks & missing informationIn context
Abnormal lab resultEscalated
DOCUMENTATION AGENT

Your workflow. Structured information.

Turn handwritten prescriptions, PDFs and lab reports into structured, FHIR-aligned information your team can review.

A handwritten prescription is one input, not the whole product. The documentation layer structures prescriptions, PDFs, reports and treatment charts into FHIR-aligned data. Connected-system inputs are part of the integration direction; availability is deployment-specific.

HandwritingPDFsReports
AI structures the information
FHIR-aligned patient record Clinician review before use
In developmentCARE CLOSURE AGENT

Keep the next step in sight.

Designed to track investigations, referrals, follow-ups and pending actions, so care can move from reactive to proactive.

The goal is a visible path from a result to an assigned review, a recorded action and patient follow-up. Investigation, referral and reminder automation is under development and will be validated with clinical teams.

CARE CLOSURE · CONCEPT PREVIEW
Investigation needs reviewAssigned
  1. Result received
  2. Clinician review
  3. Action recorded
  4. Patient follow-up
THE CLINICAL SAFETY NET

Checks that run while the patient is still in the room.

A structured record makes these checks possible: the agent is reading discrete fields — medication, dose, allergy, result value — not scanning free text. Each flag is raised at the point of review for the clinician to accept, override or act on.

Illustrative tracked list · fictional sample data

Three checks behind every flag.

  • Critical lab value escalationIncoming investigation and blood reports are parsed against reference ranges, and abnormal or life-threatening values gate review instead of waiting in an inbox.Sample · serum potassium 6.8 against a 3.5 – 5.1 range
  • Real-time allergy warningsNewly prescribed medication is checked against the allergies recorded for that patient, including class-level matches, before the prescription is saved.Sample · amoxicillin 500 mg against a penicillin-class allergy
  • Drug interaction checksContraindications and duplicate therapies are flagged at prescription review time, drawing on the medication history already in the structured record.Sample · warfarin with ibuprofen · bleeding risk raised
Acknowledged, overridden or acted on before review closes

Illustrative examples with fictional sample data. These checks support clinical review and do not replace clinical judgement; the treating clinician makes every decision. Alerting behaviour is being developed and validated with clinical teams.

ILLUSTRATIVE OPD CAPACITY MODEL

What could five minutes change?

An example for a hospital with 500 outpatient visits a day. These are modelling assumptions and targets, not measured customer results.

5 minassumed time released per encounter
500outpatient visits each day
13,000 hrspotential annual clinician capacity

500 visits × 26 days × 12 months × 5 minutes ÷ 60 = 13,000 hours. Actual savings require clinical validation and depend on the hospital’s workflow. No revenue outcome is implied.

LET’S CONNECT

See it in your workflow.

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