For Healthcare & Life Sciences

AI That Improves Care
Without Increasing Risk.

Build AI agents and internal apps that automate care operations, reduce administrative burden, and streamline patient workflows — all while protecting PHI with built-in guardrails.

CLINICAL_OPS_COPILOT
SESSION: mrn-8821x
Clinician Query
"Summarize patient's last 12 encounters and highlight any care gaps."
Clinical Reasoning
→ Analyzing encounters, ICD-10 codes...
→ Reviewing medications & labs (LIMS)...
→ Checking HEDIS care gap rules...
Querying EHR (FHIR)
42ms
PHI Leakage Prevention Active
Summary GeneratedConfidential

Patient has 3 overdue gaps: Retinal Exam (14mo), A1C Check (7mo), and Statin Adherence.

Recommendation: Schedule follow-up.

Reduce Admin Burnout

Automate chart reviews, patient outreach, and documentation to give time back to clinicians.

Improve Care Quality

Identify care gaps, high-risk patients, and protocol deviations in real-time.

Protect PHI Always

Deterministic guardrails intercept unsafe AI outputs before they leave the system boundary.

Modernize Workflows

Build custom apps for intake, referral management, and scheduling without IT bottlenecks.

Healthcare Use Cases You Can Deploy Today

HIPAA-compliant, auditable, and ready for the clinic.

Clinical Doc Assistant

Draft SOAP notes and visit summaries from voice or text inputs.

Prior Authorization

Extract facts and validate criteria for faster payer submissions.

Revenue Cycle

Predict denials and automate claims coding correction.

Patient Outreach

Send automated, personalized care gap reminders and refill prompts.

Care Coordination

Unify data from EHR, HIE, and claims for holistic patient views.

Quality & Compliance

Identify safety events and missing documentation automatically.

Ops Optimization

Predict ED bottlenecks and optimize staffing schedules.

Life Sciences

Screen for trial eligibility and summarize clinical protocols.

A Unified Platform Built for Clinical Trust

Connect disparate systems (EHR, PACS, LIMS) into a single control plane that governs data access, audits usage, and enforces policy-as-code.

Experience Layer

Care Team Apps, Documentation Copilots, Patient Portals.

Control Plane (Core)

HIPAA Policy, Role-Based Access, PII Guardrails, Audit Logs.

Infrastructure Layer

On-Prem Data Centers, Private Cloud, FHIR/HL7 Pipelines.

Care Experience
Clinician App
Triage Bot
Revenue Dash
Governance Core
Policy: HIPAA
Guardrails: PII
Audit: Provenance
Identity: SSO
Clinical Data
FHIR
PACS
HL7

No Black Boxes.
Transparent AI for Clinical Teams.

Clinicians must trust the tools they use. CodeConductor outputs clean, inspectable code with reasoning traces, guardrail logs, and full audit visibility.

  • Full reasoning provenance
  • Inspectable source code
  • Guardrails active in code
  • Immutable audit logging
src/agents/clinical_summary.py
HIPAA Guardrails Active
@hipaa_guardrails(strict=True)
def generate_summary(encounters):
# Extract structured facts from notes
facts = extract_clinical_facts(encounters)
# Generate summary with provenance tracking
summary = model.generate(facts, track_sources=True)
# Redact PHI before returning to UI
return redact_phi(summary)

Healthcare Compliance Without Friction

HIPAA Enforcement
PHI Leakage Prevention
BAAs Available
Audit-Ready Logging

Transform the Entire Care Delivery Lifecycle

Clinical Teams

  • Documentation assistance
  • Decision-support summaries
  • Care-gap identification

Operations

  • Scheduling optimization
  • Referral management
  • Throughput prediction

Revenue Cycle

  • Denial prediction
  • Coding assistance
  • Eligibility automation
60%
Decr. Admin Time
35%
Better Accuracy
0
PHI Incidents
20%
Faster Prior Auth

Bring Safe AI to Every Corner of Your Healthcare System.

Healthcare AI Governance Solutions for Enterprise | CodeConductor