The infrastructure that helps QIOs and peer review organizations scale their quality improvement and review work — bringing clarity to complex care with continuous monitoring, structured evidence, and unbiased analysis.
QIOs are tasked with improving care for millions of beneficiaries, but manual review processes and fragmented data limit the pace and scale of meaningful change.
Sample-based reviews catch only a fraction of quality issues. Systemic problems go undetected until they become CMS findings.
Reviewers spend hours gathering records, reconstructing timelines, and compiling evidence before the actual clinical review can begin.
Without continuous measurement, it’s difficult to know whether improvement interventions are working or where to focus next.
From manual, sample-based reviews to continuous, evidence-driven quality improvement.
From population-level quality monitoring to structured peer review workflows, Guardian gives your team the infrastructure to drive meaningful improvement at scale.
Continuously monitor performance across every CMS quality measure, PSI, PQI, and HAI — across your entire network, not just sampled cases.
Bring clarity to complex care with structured, evidence-based case preparation — reducing reviewer burden and improving consistency across reviews.
Investigate beneficiary complaints faster with AI-powered evidence gathering and timeline reconstruction — ensuring every complaint gets the attention it deserves.
Track whether quality improvement interventions are actually working — with continuous measurement, facility comparisons, and outcome-driven feedback loops.
Continuously monitor performance across every CMS quality measure, PSI, PQI, and HAI — across your entire network, not just sampled cases.
Population-level quality visibility across your entire network — identify where to focus improvement efforts before issues become findings.
Structured case packages with complete timelines, guideline citations, and clinical context — so you can focus on the medicine, not the data gathering.
Continuous measurement of whether interventions are working, with facility and provider benchmarking to guide your next initiative.
AI-powered evidence compilation and timeline reconstruction for beneficiary complaints — thorough, structured, and audit-ready.
Cross-program analytics that show impact across quality measures, review volumes, and improvement outcomes at a glance.
Shared visibility into performance and improvement goals — building trust through transparency between QIOs and the facilities they support.