Utilization review · Medical necessity

Medical necessity,
made defensible.

Physician-advisor-level medical-necessity review, in seconds — giving every UM nurse an expert second read, with the rationale a payer will actually accept.

The AI drafts. A licensed clinician decides.

Providers and payers run the same clinical review from opposite sides — by hand, at a cost of billions.

~$262B
U.S. claims denied at first pass each year
$25.7B
Provider cost of fighting denials (2023, +23% YoY)
54–70%
Appealed denials ultimately overturned
3–4
Disconnected tools a UR nurse juggles per case
The ROI

Three levers that pay for the platform.

What a mid-size hospital (150–400 beds) stands to gain, modeled from public benchmarks. Illustrative — your actual figures depend on your census, denial rate, and staffing.

1–3 FTEs
Nurse capacity reclaimed
Compressing chart review from ~20–30 min to seconds frees a large share of each reviewer's day. For a typical UM team that's the equivalent of 1–3 nurses' worth of capacity returned to higher-value work — roughly $110K–$390K in reclaimed labor at a fully-loaded RN cost.
Less outsourcing
Reduced outsourced UM spend
When in-house nurses carry more review volume with an expert-level assist, hospitals lean less on outsourced UM and physician-advisor review — commonly $25–$60 per case. Across a year's admissions that external spend adds up fast, and much of it moves back in-house.
$1–4M
Revenue protected from denials
A 150–400 bed hospital carries millions in denied claim dollars each year, and 54–70% are overturnable. By strengthening documentation and medical necessity upstream, Acumys helps prevent denials before they happen — protecting single-digit millions in otherwise-lost revenue.

Figures are modeled from public benchmarks (fully-loaded RN cost; typical outsourced-UM rates; published denial volumes and overturn rates), not measured Acumys outcomes. Pilots will quantify the actual result for each site.

The platform

Five fragmented workflows, unified on one FHIR-native platform.

Acumys reads the clinical record once and drives the whole utilization-review workflow from a single structured source — no swivel-chairing between separate tools.

01

ED triage

Real-time medical-necessity screening at admission.

02

Continued-stay review

Ongoing evaluation against evidence-graded criteria, on consolidated FHIR EMR data.

03

Payer communication

UR reviews packaged and sent to the insurer — built in.

04

AI appeals drafting

Clinically-grounded appeal letters, cited to the record.

05

Discharge planning

Guided bedside interview, barrier tracking, and a red/yellow/green readiness census.

Score calculators

A library of validated clinical scores that auto-fill from the record.

On the roadmap: a full CDI workflow, coding support, and quality / core-measure abstraction — each reusing the same record-ingestion engine to raise account value.
Built for the UM nurse

A physician-advisor-level review for every case — in seconds, not hours.

UM nurses spend their day reading charts to judge medical necessity. Acumys reads the whole record first and hands back an expert-level assessment, so the nurse confirms a decision instead of building it from scratch.

Chart review today
20–30 min
per case, by hand — across 3–4 disconnected tools
With Acumys
Seconds
an expert-level read, grounded and cited — nurse reviews and confirms

Physician-advisor-level review

Every nurse gets an expert second read on the spot — the kind of judgment that used to require escalating to a physician advisor — so cases move without the wait.

Action items to fix documentation

Acumys flags exactly what's missing or weak in the record and recommends the specific documentation that would support the level of care — closing gaps before they become denials.

Denial prevention, upstream

By catching the necessity and documentation weaknesses while the patient is still in-house, Acumys prevents the denial instead of fighting it after the fact.

Payer-perspective rationale

Each assessment comes with an accurate rationale written from the payer's point of view — so the justification holds up in review and on appeal, not just internally.

Payer communication, built in

UR reviews are packaged and sent to the insurer from inside the platform — no re-keying, no separate vendor, no lost context at the hand-off.

Census & ED triage at a glance

A red/yellow/green census and real-time ED-admission screening surface the cases that need attention first — so nurses spend time where it moves the needle.

The result: nurses stop burning hours on routine chart review and get back to the work only they can do — managing complex cases, clearing discharge barriers, and keeping patients moving.

Why Acumys is different

Where other AI-UR tools stop at a score, Acumys does the reasoning — out loud.

Legacy criteria tools are paywalled and opaque. First-generation AI-UR tools output a number nobody can inspect or defend. Acumys shows its work, written by a physician-led team — and tells the nurse what to do next.

Transparent, evidence-graded criteria

Published, physician-reviewable logic — not a proprietary black-box score. Defensible on appeal because reviewers can see the "why."

Compliance-forward by design

Built around CMS's Part C transparency mandate from day one — not retrofitted onto a decade-old paywalled criteria model.

One platform, not a bundle

Triage through discharge in a single FHIR-native workflow. One record, one source of truth, one audit trail.

Physician-led clinical design

Criteria, workflows, and appeal logic shaped by practicing CDI and UR physicians — the people who do this work.

Every determination is grounded — each clinical assertion anchored to its source in the record, each criterion citable. The model drafts; a licensed clinician makes the call.
Traction & validation

A proven category, entered differently.

AI-driven utilization review is an established category. Acumys enters it with transparent, evidence-graded criteria rather than a proprietary score — and an end-to-end workflow rather than a point tool.

5
Connected workflows live in a working end-to-end prototype
500+
Hospitals on a comparable AI-UR platform — demand is proven
$8.7B→$14.2B
Utilization-management software market
~24%
Annual growth of AI prior-authorization

See Acumys live.

Schedule a walkthrough with your UR and CDI team, or talk with us about a design-partner pilot.

Vishal Adeshara, MD, MPH · Founder & CEO