Healthcare & Life Sciences AI Playbook

Why this playbook exists

Healthcare automation fails if it's a black box. The critical questions are: What guideline supports this recommendation? What was the reasoning? Who reviewed it? This playbook answers those at the architecture level. We combine anchored retrieval from approved clinical sources, governed orchestration (HITL gates, role-based access, redaction), and a learning memory that converts clinician overrides into signals so safety, speed, and fidelity improve together.

This playbook provides clinical decision support with mandated human oversight. It does not replace clinical judgement or constitute medical advice.

What it delivers

A governed, evidence-backed assistant that accelerates triage and documentation without diluting clinical control.

Recommendations anchored to guideline clauses with visible citations. Risk/contraindication checks before any recommendation is surfaced. Human-in-the-loop approvals for patient-impacting actions, with full audit. Structured notes that reflect guideline reasoning and clinician edits feeding the learning loop.

Positioning: Not a point tool. A governed, learning workflow built on The NeuralHue Framework.

How it works

A clinician initiates a triage or guidance query from the EPR/console. The agent queries NeuralHue Knowledge Integration to retrieve anchored passages from approved guideline corpora and formularies, returning clause-level citations. The Triage Assistant proposes a risk category, rationale, and next-step options. Before display, the Safety Checker screens for contraindications and drug interactions and enforces escalation rules based on risk and uncertainty.

If an action is patient-impacting, Governance & Alignment routes it through a human-in-the-loop step. Clinician edits and accept/reject decisions are captured by the Memory & Feedback Engine. These signals improve subsequent retrieval (what evidence is prioritised) and written outputs (tone, structure), so the system steadily reuses proven patterns with transparent provenance.

Core agents & workflows

(All agents inherit memory, governance, and orchestration policies from The NeuralHue Framework.)

Governance, risk, and assurance

Governance is embedded, not bolted on: Human-in-the-loop for all patient-impacting steps, with configurable risk tiers. Role-based access and redaction (e.g., sensitive fields, minors, special categories). Immutable audit trails: evidence retrieved, recommendations shown, reviewers, and final decisions. Bias and outcome monitors across cohorts; alerts for drift or inequity. Evidence packs exportable for quality, safety, and regulatory review.

If required, the playbook can be operated purely in "advisory mode" with no automated order entry.

Data & integrations

Outcomes & indicative KPIs

Triage turnaround: ≥20% faster from presentation to initial plan in pilot setting. Citation visibility: ≥90% of recommendations carry clause-level evidence links. Rework/overrides: Downward trend after 4–6 weeks of learning (target ≥15–25%). Safety: Zero critical safety events introduced by the system (monitored and reported).

(Targets are indicative; final acceptance criteria are set during pilot planning.)

90-day pilot plan

Deliverables: anchored guideline corpus, agent configs, governance dashboards, override taxonomy, KPI report, rollout runbook.

Architecture (where this sits)

FAQs