The Same Case Gets Different Decisions
Same guidelines, different outcomes depending on who reviews. Inconsistent interpretation is both an operational and a fairness problem.
UM goals are right. The execution — in most health plans — is broken. Each failure compounds into reviewer burnout, provider frustration, and inconsistent determinations.
Same guidelines, different outcomes depending on who reviews. Inconsistent interpretation is both an operational and a fairness problem.
Volume grows every year, but clinical staff doesn't scale — leaving queues and turnaround times stretching each quarter.
Straightforward cases land in the same queue as complex ones — consuming clinical time without needing a clinician's judgment.
Most UM programmes flag overutilisation but miss the opposite — members who should get care aren't. One direction misses half the problem.
When a determination is challenged, manual UM rarely has a clean record — reconstructing the criteria applied is slow and a compliance risk.
An intelligence layer, not a replacement for clinical judgment.
Complete operational visibility across every stage of the UM lifecycle.
Built for insurers, MCOs, TPAs, and government health schemes.
AI clears routine UM volume automatically.
Evidence-based determinations, plus criteria analytics.
Scales with your portfolio, audit-ready throughout.
NHCX, ABHA, and IRDAI ready at scheme volume.
Manual UM can't be consistent, fast, and fully documented at scale. AI-powered UM can — and plans investing now are building a compounding advantage in cost, quality, and provider relations.
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Your criteria — MCG, InterQual, proprietary guidelines, IRDAI, or scheme rules — are configured into the guideline library at implementation. Updates take effect immediately across all reviews.
Every case gets a confidence score. Below your threshold, it routes to a clinical reviewer with a full summary and the factors that triggered escalation.
The platform monitors active cases through EHR feeds and ADT notifications. When documentation updates, it re-evaluates immediately and flags clinically significant changes.
Yes. Built to IRDAI clinical review requirements, NHCX data standards, and ABHA-compatible records, with audit trails for regulatory review and grievance redressal.
Peer review requests are logged, assigned, and documented in the platform — each exchange leaves an auditable record of participants and the determination reached.
Most plans see meaningful auto-determination from the first week, with rates improving over 60–90 days as the AI calibrates to your case mix.
Our utilization management software covers prospective, concurrent, and retrospective review in one platform. The built-in utilization management AI routes only cases needing clinical judgement to a reviewer, and every determination keeps an audit trail.
Yes. The same utilization review software serves insurers, managed care organisations, TPAs, and government schemes. Your clinical criteria are configured into the guideline library, so this UM software healthcare teams rely on applies them consistently across every line of business.
Every determination from the medical necessity review software cites the specific criteria and clinical factors behind it, never a black box. Each case retains an audit trail of who reviewed it and which guideline version applied — ready for regulatory review, appeals, and peer-to-peer discussion.