The Golden Source
of Truth.
Multi-state telehealth operations run on documents: prescribing guides, clinical protocols, compliance policies. Clarity helps you find what's outdated before it becomes a problem.
Multi-State Prescribing Guides
Every state has different prescribing rules. When federal flexibilities get extended, some guides get updated, others don't. Providers ask 'can I prescribe this in Ohio?' and someone has to dig.
Surfaces where your state guides don't match federal rules, or each other.
See How It WorksProvider Onboarding Checklists
Onboarding checklist says 'HIPAA training within 30 days.' Compliance policy says 14 days. New hires ask 'what's actually required?' and you dig every time.
Clinical Protocol Versioning
The telehealth asthma protocol diverged from the master two years ago. Nurse triage scripts still reference the old version. You find out during an audit.
State Telemedicine Practice Standards
Post-COVID law changes haven't made it into internal summaries. Ohio's consent form still references old requirements. Practice standards say video is required, but 15 states no longer mandate this.
HIPAA Policy Suite
Last year's HIPAA policy update didn't cascade to training materials. The BAA template uses different definitions than the main policy. OCR audits expose the gaps.
Quality Measure Definitions
Internal protocols specify one documentation approach. Payer specs require something different. And specs vary across payers for the same measure.
Medicare/Medicaid Compliance
Enrollment criteria say BP >140/90. Clinical protocols say >130/80. Billing docs reference outdated CPT codes. New hires don't know which is right.
Remote Patient Monitoring (RPM)
Enrollment criteria, clinical protocols, and billing docs all say slightly different things. The team knows what's right, but new hires don't.
Informed Consent Templates
State consent requirements changed but forms weren't updated. Language varies across states for no clear reason.
“There's no question it will help with making certain that this set of data is correct and validated. The data is only as good as what we put in.”