# Put AI to work across healthcare, with confidence in every outcome.

> Openlayer helps healthcare and life-sciences teams evaluate, monitor, and govern AI systems with safety testing, PHI guardrails, and automated compliance, from prototype to production.

## By the numbers

| Stat | Meaning |
| --- | --- |
| 81% | of physicians use AI in their professional work (Source: American Medical Association, 2026) |
| 84% | of health insurers use AI or machine learning (Source: National Association of Insurance Commissioners, 2025) |
| 48% | of health systems are not operationally ready to implement AI (Source: Guidehouse and HIMSS, 2026) |

## Healthcare AI is scaling faster than the safeguards around it.

AI is already processing claims, supporting authorization, improving coding, assisting clinicians, and powering patient and provider operations.

But most healthcare organizations lack one consistent way to test accuracy, enforce policy, protect sensitive data, and monitor how every AI system behaves in production.

### Accuracy varies across workflows and populations.

AI can perform well in testing but produce inaccurate or inconsistent results across claims, conditions, patient populations, and real-world use cases.

### PII and PHI can surface in model inputs and outputs.

Sensitive information can pass through prompts, retrieval data, tool calls, and responses without consistent controls to detect or block exposure.

### Safeguards do not follow AI into production.

Teams lack continuous visibility into how live systems behave, whether policies are being enforced, and when accuracy, safety, or compliance begins to drift.

## Scaling healthcare AI requires a higher standard of trust.

HIPAA governs how sensitive health information is protected. HTI-1 introduces transparency and risk-management requirements for certain predictive decision-support systems. FDA oversight, the EU AI Act, and emerging state laws add further obligations for AI used in regulated healthcare environments.

Healthcare organizations now need continuous evidence that every AI system remains accurate, safe, compliant, and protected as models, data, and workflows change.

- EU AI Act
- ISO/IEC 42001
- NIST AI RMF
- OSFI E-23

## Safety, accuracy, and compliance in one platform

Openlayer applies the same standards from evaluation through production, with PII and PHI protection, live policy enforcement, and evidence generated automatically.

## What you get

### Claims processing

Test extraction, classification, and routing accuracy. Monitor exceptions, sensitive-data exposure, and cost in production.

### Prior authorization

Evaluate document extraction and workflow consistency across diagnoses, plans, and authorization types.

### Medical coding and denials

Test suggested codes against source documentation and monitor denial classification, appeals, and resolution.

### Patient operations

Monitor patient chat, scheduling, intake, navigation, and support agents for accuracy, appropriate escalation, task completion, and PII or PHI exposure.

### Provider operations

Evaluate AI used in credentialing, provider data management, network operations, documentation, and clinician support.

### Clinical AI

Test documentation assistants, clinical copilots, and decision-support systems for accuracy, safety, and performance across patient populations.

## Proof

> Openlayer gives us a consistent way to evaluate and monitor AI across healthcare workflows. We can move faster while maintaining the accuracy, privacy, and oversight our industry requires.
> 
> Healthcare Leader


## Advance healthcare AI with confidence.

Keep every system accurate, protected, and compliant from development through production.