Clinical Decision Infrastructure

Building the
decision layer
for healthcare

Soficca turns messy clinical narratives into structured signals, governed routes, and audit-ready reports — using AI for signal extraction and deterministic rules for clinical routing.

The Cardio Pilot is live. The infrastructure is real.

View Cardio Pilot → Explore Pen — first workflow

Deterministic Auditable Versionable

Live Infrastructure

Live Cardio Pilot

Technical proof of governed routing

Pen Workflow

First market-facing product built on Soficca

12/12 Golden Cases

Deterministic routing checks passed

5 Governed Routes

Emergency, urgent, routine, needs-more-info, conflict/defer

View the Cardio Pilot →

Live Pilot

AI signal extraction with governed clinical routing

Cardio Pilot shows Soficca's decision infrastructure inside a cardiovascular workflow. AI extracts structured clinical signals from free-text narratives, humans confirm the signal, and Soficca applies deterministic safety routing to produce an audit-ready report for clinical review.

The pilot does not diagnose, prescribe, or replace clinicians. It demonstrates bounded AI, governed routing, safety overrides, missing-data handling, and persistent review records using simulated or anonymized cases.

This pilot demonstrates the infrastructure pattern that also powers Pen.

View Cardio Pilot →

AI signal layer

Free-text narratives become structured clinical fields.

Governance layer

Versioned deterministic rules govern the route.

Safety layer

Red flags can override preliminary routing.

Review layer

Output is built for human clinical review.

Live output — Decision report

Cardio Pilot decision report — Soficca clinical decision infrastructure

AI Signal Deterministic Route Safety Override Audit Trace Human Review

From Fragmented Care

Toward governed clinical decisions

The challenge is not a single clinical decision. It is the repeated failure of what happens next. Across intake, routing, medication, and follow-up, next-step decisions still live in fragmented workflows, disconnected tools, and manual judgment.

Soficca exists to structure those recurring decisions into governed, traceable logic that can be reused across care workflows.

Governance · Traceability · Continuity · Reuse

Safer decisions

Structured logic helps reduce avoidable variation in high-stakes next-step decisions.

Longitudinal decision context

Each follow-up adds context that improves the next review, route, or action.

Traceable logic

Every governed output can remain legible, reviewable, and consistent over time.

Reusable across workflows

The same decision layer can support repeated care logic across multiple environments.

How Soficca Works

From inputs to governed decisions

AI structures the signals. Governed logic determines the next step.

Soficca is designed to turn structured inputs into governed next-step decisions. Patient signals, safety rules, workflow logic, and follow-up data are evaluated together so each output is actionable, traceable, and consistent over time.

Structured inputs

Patient signals, symptoms, history, and workflow context enter the layer in a governed format.

Governed logic

Rules, routing criteria, and safety conditions evaluate what should happen next.

Traceable output

Each decision is produced as a legible next-step output with clear logic behind it.

Longitudinal context

Follow-up data carries forward so future reviews and actions improve over time.

Our Roadmap

Current → Next → Later

Current

Live Now

Live Pilot Infrastructure

Cardio Pilot is deployed with AI signal extraction, deterministic routing, audit-ready reports, case persistence, and reviewer feedback. Pen is the first commercial workflow.

View Cardio Pilot →

Building

Controlled Physician Review

Run 20–50 simulated or anonymized cardiovascular cases with reviewers, capture agreement and usefulness signals, and prepare a validation package.

Later

Expansion

Workflow Expansion

Add organization workspaces, access control, QA persistence, and specialty-specific workflows for clinics, pharmacies, and telemedicine partners.

Execution

Built beyond concept

Soficca is not a static concept. The infrastructure is already expressed through a technical pilot, reusable engine, market-facing workflow, and controlled review layer.

Clinical Governance Signal

Carlos Pérez

Clinical Audit & Regulatory Advisor

Clinical audit specialist with 10+ years of experience in healthcare operations and regulatory processes in Colombia. Advises Soficca on documentation discipline, audit-readiness, and regulatory alignment.

Technical Pilot

Cardio Pilot

Technical proof of AI signal extraction, deterministic routing, safety overrides, audit trace, and review workflow.

Core Engine

Soficca Core Engine

Reusable decision infrastructure with versioned logic, safety policy enforcement, and deterministic outputs.

Market Workflow

Pen Workflow

First market-facing workflow powered by Soficca, showing how the decision layer becomes a product surface.

Review Layer

Reviewer Layer

Structured review, feedback, and persisted session records for controlled pilot validation.

Clinical governance · Technical pilot · Reusable engine · Market workflow · Review records

First Product Workflow

Pen is the first market-facing workflow powered by Soficca.

Pen is the first product surface built on Soficca, translating governed intake, structured signals, and follow-up logic into a consumer health workflow.

Building Pen made the infrastructure visible: structured decision history, safety logic, and longitudinal context do not need to live inside one product. They become a reusable layer across healthcare workflows.

Explore Pen →

Structured decision history

Compounding safety logic

Longitudinal decision context

Reusable decision layer

Why This Layer Matters

The cost of fragmented decisions is already enormous.

COST → CONTINUITY → DECISION LAYER

Why Now

Fragmented decisions still carry real system cost.

Medication errors alone are estimated to cost US$42B annually worldwide, while only 24% of patients with chronic conditions report having a care plan available to them. The missing layer is not only digital access — it is governed continuity, traceable next-step logic, and follow-up that carries forward over time.

Global Cost

US$42B annual cost

Estimated annual global cost associated with medication errors.

Source: WHO

Continuity Gap

24% care plan availability

Share of patients with chronic conditions reporting they have a care plan available to them.

Source: OECD PaRIS

Building the decision layer for healthcare