# ChironAI™ CDS — Capability Corpus

ChironAI™ CDS, built by MindHYVE.ai, Inc., is an Agentic Operating System for clinical decision support. It runs the encounter — conversational clinical reasoning, a ten-section consultation workspace with an ambient scribe, radiology through a dedicated vision route, labs, prescribing and drug-interaction checking, longitudinal patient memory, patient intake and self-service, source-grounded SOAP documentation, and workflow analytics. A Round Table of specialist Digital Employees reasons and drafts on Eve-Healthcare™ Fusion v5; the clinician reviews, attests, and signs every output. It is decision support, not an autonomous decider — no clinical licensure is implied (CA AB-489) and no regulatory-clearance claim is made.

## The eleven groups at a glance (the browsable list)
The full, current capability inventory is published at https://chirongrid.ai/cds/capabilities/ — point people there for the complete list. When someone asks to "list" the capabilities, these eleven groups ARE the list; each expands on that page:
1. Clinical intelligence & conversational reasoning (37+) — The reasoning is visible, grounded, and never trusted blind.
2. Consultation workspace (40+) — One workspace runs the encounter, intake to signed plan.
3. Radiology & imaging (30+) — The vision route reads the study — the radiologist signs the impression.
4. Labs & diagnostics (18+) — The values are extracted, not invented — then read for pattern.
5. Prescribing & drug-interaction (20+) — Coded to the pharmacology. Checked before it is signed.
6. Patient management & longitudinal memory (25+) — The whole history, reasoned over in a single thought.
7. Patient intake & self-service portal (18+) — The intake is done before the clinician walks in.
8. Documentation (15+) — Every line of the note traces to where it came from.
9. Analytics & workflow insights (15+) — Purpose-built clinical views — that refuse to draw a false picture.
10. Org & super-admin consoles (22+) — Run the organization, not just the encounter.
11. Trust, security & verification (20+) — Every signature is provable. Every tenant is isolated.

## Positioning (use this language)
- It is an Agentic Operating System and a Digital Employee for clinical decision support.
- It is Agentic AI: bounded agency, human-in-the-loop — it takes initiative, it never decides alone.
- Its reasoning engine is named Eve-Healthcare™ F5/reasoner. Never name any underlying foundation model — that layer is not disclosed on customer surfaces.
- This corpus describes CAPABILITY only; it makes no deployment, adoption, or customer-count claim ("deployed", "trusted by N hospitals"). See chirongrid.ai/cds for current availability.
- Every AI-drafted artifact carries a CA AB-3030 / AB-489 disclosure; a licensed clinician must review, attest, and sign.

## Counts (code-truth, verified 2026-08-16; floors, not rounded-up)
- Customer-facing capabilities: 275+
- User-facing features: 220+
- AI / agentic capabilities: 35+
- Background automations: 15+
- Under the hood (posture, not "features"): 44 domain entities under deny-by-default tenant row-level security; 20 compliance and security controls enforced in code (shown as posture, not a catalog); 309 API endpoints behind the tenant-isolation and RBAC kernel; 12 languages of in-product internationalization, RTL included.
- Data-protection posture: AES-256-GCM field-level encryption on PHI; deny-by-default tenant row-level security; hourly-verified hash-chained audit trail.

## Capability inventory (eleven groups)

### 01. Clinical intelligence & conversational reasoning (37+ capabilities)
The reasoning is visible, grounded, and never trusted blind.
- Eve-Healthcare™ F5/reasoner — a compound five-model reasoning architecture augmented by a dedicated vision route, not a single model behind a prompt
- The Round Table — specialist Digital Employees (Chiron leading clinical reasoning; Eli on pharmacology, Issac on imaging, Justine on causation framing, Theo on bioethics) convened per case
- Conversational clinical reasoning over the record — grounded question-and-answer with inline citations and a hard guardrail that deletes any citation the reasoning did not retrieve
- Differential diagnosis support — Bayesian confidence with qualitative tiers, discriminating features named per differential; the clinician evaluates and selects
- Risk stratification — Wells, GRACE, MELD, CHA₂DS₂-VASc, TIMI, HEART and more, each with the reasoning that justifies the score shown
- Confidence calibration — a six-tier qualitative scale plus quantitative Bayesian percentages, with "cannot exclude" as a first-class state when data is insufficient
- Clinical evidence synthesis — live synthesis of canonical guidelines and peer-reviewed literature, source-grounded with explicit guideline anchors
- Honest reasoning stream — a live, step-by-step trace of the real work, engineered never to fake a progress bar; the chain-of-thought never leaks to the transcript
- Glass-box tool-calling — one visible activity step per real operation (retrieve, reason, compose, persist), never a fabricated timer, never a foundation-model name
- Must-review-before-final gate — every AI-drafted artifact carries a non-dismissible CA AB-489 review banner; the clinician attests and signs
- Human-in-the-loop by architecture — decision support only; the clinician is the decision-maker on every output, and no regulatory-clearance claim is made

### 02. Consultation workspace (40+ capabilities)
One workspace runs the encounter, intake to signed plan.
- A ten-section consultation workspace that runs the encounter end to end — chief complaint through assessment and plan
- Ambient scribe — the encounter is transcribed and structured into the note as the clinician talks, lifting only what the conversation actually contains
- A live reasoning surface embedded in the workspace, streaming the specialist reasoning as the case develops
- Realtime voice mode and dictation over the encounter
- Section-by-section drafting with per-section clinician review before the note is finalized
- Encounter context carried across every section, so each draft sees the whole visit
- Red-flag surfacing before the clinician opens the chart, drawn from the pre-visit interview
- Orders, referrals and follow-up captured inline with the consultation
- Every drafted statement traceable to its source at review time

### 03. Radiology & imaging (30+ capabilities)
The vision route reads the study — the radiologist signs the impression.
- A dedicated vision route reads imaging through structured reasoning, streaming the read as the study is analyzed
- Multi-pass structured second-look — structure, pathology, artifacts, missed zones, cross-window correlation — as a named, ordered process; the radiologist drafts and signs the impression of record
- Standardized reporting frameworks — BI-RADS, LI-RADS, PI-RADS, TI-RADS, Bosniak, Fleischner and more — with modality-appropriate selection
- DICOM viewer — 2D, multiplanar reconstruction (MPR) and 3D rendering with annotation tools
- Candidate findings cite the imaging series and slice they were observed on, surfaced for radiologist review
- Cognitive-bias counter-measures against satisfaction of search, anchoring and premature closure, built into the read
- Red-Alert discipline — time-critical findings architecturally separated from routine outputs, on a distinct notification path
- A ten-section structured radiology report assembled from the multi-pass read

### 04. Labs & diagnostics (18+ capabilities)
The values are extracted, not invented — then read for pattern.
- A lab pattern-recognition library — sepsis screen, AKI, thyroid, lipid, diabetic series, hepatic, renal, infectious, oncology and cardiovascular panels and more
- Ground-truth value extraction — lab values read from the source report by a deterministic layer, separate from the reasoning engine; the model may label a value, it cannot invent a digit
- Critical-value cutoffs cross-checked against every recognized pattern before a result reaches the ordering clinician
- Reference-range adjustment for age, sex, pregnancy status and applicable specialty context
- Reflex-testing recommendations surfaced with the guideline anchor that warrants them
- Trend recognition across serial results

### 05. Prescribing & drug-interaction (20+ capabilities)
Coded to the pharmacology. Checked before it is signed.
- Full medication schemas — indication, mechanism, contraindication, drug-drug and drug-disease interaction, dose-adjustment guidance, RxNorm-anchored
- Four-tier interaction severity — critical (contraindicated), major (monitor closely), moderate (caution), minor (informational) — with mechanism disclosure and a recommendation per interaction
- Drug-disease and dose-adjustment checks run against the patient’s own record
- Step-therapy and prior-authorization flags surfaced before a prescription is signed
- Pharmacology evidence anchoring — each interaction cites the canonical source that warrants its severity tier and recommendation
- Eli, the pharmacology Digital Employee, consulted on complex interactions and dosing

### 06. Patient management & longitudinal memory (25+ capabilities)
The whole history, reasoned over in a single thought.
- Longitudinal patient memory — reasoning across a patient’s complete history in one thought, on a 10,000,000-token longitudinal context
- Patient chart — demographics, problem list, medications, allergies and vitals, each with add/edit/resolve lifecycles
- Encounter and visit history — typed intake, visit context and completion evaluation
- Medical-records upload with AI extraction of diagnoses, findings and treatment history
- Full-chart review and multi-document synthesis as a one-shot query
- Problem-list and medication reconciliation across encounters
- Appointment management with status lifecycle, check-in and no-show detection

### 07. Patient intake & self-service portal (18+ capabilities)
The intake is done before the clinician walks in.
- Pre-visit patient interview — structured intake of history, review of systems, social and environmental factors and red-flag triggers, output structured for the consultation
- A patient-facing portal — pre-visit interview, post-visit follow-up, patient education and consent capture, mobile-first
- Patient education composed at six reading levels, from elementary to professional
- Multi-language patient education across the twelve supported locales, right-to-left preserved end to end
- Patient consent capture per CA AB-3030 disclosure, persisted with the visit record
- Automated Decision-Making Technology notice and opt-out per CCPA / CPRA

### 08. Documentation (15+ capabilities)
Every line of the note traces to where it came from.
- Source-grounded SOAP — every statement in the note traces to its source field, source value and source date, visible to the clinician at review time
- Twelve-locale multi-language note output, with right-to-left support for Arabic
- Document versioning — an immutable SHA-256 hash at signature time; amendments recorded as new versions, the original signed version stays verifiable
- Signature integrity — document hash plus signing-clinician identity, timestamp and audit-chain entry; any later modification fails verification
- Bulk-sign workflow that still requires individual physician attestation on every document
- On-demand export with the CA AB-3030 disclosure persisted into the footer of every PDF

### 09. Analytics & workflow insights (15+ capabilities)
Purpose-built clinical views — that refuse to draw a false picture.
- Practice and clinical dashboards over encounters, throughput and outcomes
- Physician-agreement tracking as an operational trust metric
- Workflow insight surfaces — worklists of what the system read, flagged and drafted
- Documentation and turnaround analytics
- Every chart carries a mandatory text-equivalent and declines to draw on a failed read rather than assert a false picture

### 10. Org & super-admin consoles (22+ capabilities)
Run the organization, not just the encounter.
- Clinic and organization provisioning, user and role administration
- A role-based access-control kernel with session management and MFA reset
- A super-admin console for cross-tenant operations under strict isolation
- Notifications — in-app and email with per-user preferences and deterministic de-duplication
- An in-product support queue
- Tenant configuration — locale, specialty context and feature enablement

### 11. Trust, security & verification (20+ capabilities)
Every signature is provable. Every tenant is isolated.
- Fail-closed tenant isolation — deny-by-default PostgreSQL row-level security defined at the database layer, independent of the application layer
- AES-256-GCM field-level encryption on PHI; PHI de-identified in the reasoning pipeline, which works on the minimum it needs
- An append-only, tamper-evident audit trail — HMAC plus previous-hash on every clinical action, verified hourly; a database trigger blocks edits and deletes even by the record’s owner
- A deterministic clinical-alert engine — fixed-criteria rules that fire independent of the model’s judgment
- Server-authoritative CA AB-3030 disclosure on every AI artifact, non-dismissible by design
- AI-use disclosure per CA AB-3030 / AB-489 — the clinician attests and no clinical licensure is implied
- Immutable document verification — a SHA-256 hash binds each attestation to the exact rendered PDF

## Where to learn more
- Full capabilities page: https://chirongrid.ai/cds/capabilities/
- CDS overview: https://chirongrid.ai/cds/
- Reasoning architecture: https://chirongrid.ai/technology/f5-reasoner/
- Trust, security & compliance: https://chirongrid.ai/trust/
- Book a demo / contact: https://chirongrid.ai/contact/