Blog
News, guides, and insights from the Verial team.
insightsHIMSS26's Agentic AI Gap Is an Eval Problem
HIMSS26 showed health systems deploying agents faster than they can audit them. The fix isn't more governance theater, it's independent simulation.
guidesFHIR Sandbox Alternatives: Epic, HAPI, Cerner, Verial
Epic has 18 patients. HAPI has no auth. Here is how six FHIR sandboxes compare for testing healthcare AI agents in realistic conditions.
guidesPost-Deploy Monitoring for Healthcare AI Agents [2026 Guide]
What to actually monitor after a healthcare AI agent goes live: FHIR writes, HL7 ACKs, portal sessions, IVR completion, PHI signals, and kill switches.
guidesSim-to-Prod: One API for Healthcare AI Test and Live
Plaid and Stripe flip one credential between sandbox and production. Healthcare AI agents don't get that luxury. Here's how to build the canonical API layer that closes the sim-to-prod gap.
insightsThe Agent RFP: How Hospitals Should Evaluate AI in 2026
Slide decks and 3-month pilots can't tell you if an AI agent survives your workflows. Here's how the agent RFP replaces slideware with sim-based bakeoffs.
insightsWhy MedAgentBench and HealthBench Miss Real-World Bugs
HealthBench and MedAgentBench test clinical accuracy. Production agents fail on portal navigation, state management, and recovery. Here's the gap.
engineeringThe FHIR Sandbox Problem: Why Test Environments Fail
Epic gives you 18 test patients. HAPI gives you no auth. Neither gives you realistic data. Here's why healthcare AI teams keep shipping code that breaks in production.
insightsWhy Healthcare AI Agents Need Sandbox Environments
Healthcare AI agents interact with EHRs, payer portals, and phone systems. Testing them against production is risky and slow. Sandboxes solve this.
guidesHow to Test Healthcare AI Agents Before Go-Live
A four-layer framework for testing healthcare AI agents across FHIR, voice, portals, and claims workflows before your first production patient.
guidesCMS-0057 for Developers: Testing Prior Auth APIs
CMS-0057-F requires payers to support FHIR prior auth by January 2027. How to build and test CRD, DTR, and PAS workflows before the deadline.
insightsWhy Voice AI Agents Break on Real Healthcare IVR Calls
Why healthcare voice agents fail in production and what a deterministic test environment must include. Strategic overview of voice AI testing in healthcare.
engineeringSynthetic Patient Data Beyond Synthea
Synthea generates population-level data. Healthcare AI agents need scenario-specific patients with clinical coherence. Here's what's missing and how to fill the gap.
insightsBuilding an OpenAI Gym for Healthcare AI Agents
Healthcare AI agents need training environments like RL agents need gyms. Deterministic, resettable, parallelizable environments for iterating on agent behavior.
guidesFHIR R4 Testing Guide: Edge Cases and Vendor Gotchas
US Core conformance, must-support fields, vendor-specific quirks, and the edge cases that break your FHIR integration in production.
engineeringTesting Healthcare AI Across FHIR, Voice, and Portals
Real healthcare workflows span FHIR servers, payer phone lines, insurance portals, and claims. Testing them in isolation misses the failures that matter.
insightsWhy Healthcare AI Companies Need a Sandbox, Not Just a Demo
A demo shows your agent works once. A sandbox proves it works across hundreds of scenarios, edge cases, and failure modes.
guidesHIPAA-Compliant AI Testing with Synthetic Data
Synthetic data eliminates HIPAA risk in AI development while providing more realistic testing than de-identified PHI subsets.
engineering6 Ways Prior Auth AI Agents Fail in Production [2026]
Prior auth agents fail at portal login, form mapping, document upload, status polling, denial parsing, and payer quirks. A failure-mode catalog with test patterns.
engineeringHL7v2 Is Not Dead: Why Your AI Agent Still Needs It
FHIR gets the attention, but 95%+ of US hospitals still run HL7v2 ADT messaging. Your healthcare AI agent needs to handle both protocols.
guidesConnecting an AI Agent to a FHIR R4 Sandbox
Walk through connecting a healthcare AI agent to a FHIR sandbox environment, from authentication to reading patient data to writing results back.
guidesTesting Prior Auth Agents with Simulated Payer Portals
How to test prior auth AI agents against simulated payer portals: login flows, form mapping, document upload, and status tracking without hitting production systems.
guidesVoice Agent IVR Testing: A Practical How-To Guide [2026]
Step-by-step how-to for building IVR test scenarios for healthcare voice agents: DTMF, speech recognition, hold handling, and representative interactions.
guidesHL7v2 ADT Testing Guide: Simulated Hospital Feeds [2026]
A practical guide to testing healthcare AI agents against HL7v2 ADT feeds: MSH parsing, MLLP transport, test scenarios, and realistic admission events.
guidesSFTP Claims Testing with Synthetic 837 and 835 Files
Revenue cycle AI agents process claims via SFTP. How to test 837 submissions and 835 remittance parsing with synthetic X12 data.
engineeringSynthea Alternatives for Healthcare AI Testing
Synthea generates population-level synthetic data. If you need scenario-specific patients, vendor-shaped FHIR bundles, or multi-interface test data, here are your options.
insightsHow to Evaluate Healthcare AI Vendor Testing
Health systems buying AI should ask how vendors test their agents. Here's a framework for evaluating testing rigor before signing a contract.
guidesHealthcare AI Go-Live Checklist: Pre-Production Validation
A checklist for clinical informatics and IT teams validating healthcare AI agents before they touch production systems and real patients.
insightsHealthcare AI Pilot ROI: Metrics That Actually Matter
Most healthcare AI pilots measure the wrong things. Here's how to structure a pilot that generates evidence your governance committee will accept.