Built for safety-net and community hospitals. Autonomous AI agents embedded in every CDI workflow — from admission triage to pre-bill review.

ACRADO is the Clinical Data Intelligence platform — the unified system behind every AI agent, worklist, and analytics view described on this page. One name for chart review, DRG accuracy, and revenue recovery, working together instead of as separate tools.
Admission scoring, case assignment, chart review, and coder sign-off all run under ACRADO — a single system your team logs into, instead of a patchwork of point tools.
ACRADO runs on HAREX, our interoperability engine — so every agent works from clean, structured clinical data no matter which EMR sits underneath.
ACRADO is already in production at a Chicago-area community hospital, with a measured $1.5M revenue recapture in Year 1 — the same deployment model offered to every new client.
Clinical Data Intelligence is built specifically for safety-net and community hospitals — the environments where CDI staffing is lean, margins are thin, and every documentation gap has a direct financial consequence.
CMI improvement is visible within 90 days of go-live. License ROI is typically achieved within 1–2 months — meaning the platform pays for itself before the first year is out.
Continuous gap monitoring with structured physician query routing — delivered via email, secure SMS, or manual entry. Every query is tracked and recorded for full audit visibility.
Coders review and sign off on CDI work directly in the platform, with the ability to flag matched or mismatched DRGs. Sign-off is withheld when a patient has an open query or pending second-level review.
Patients are automatically flagged for Hospital-Acquired Conditions and quality review throughout their stay and post-discharge — surfacing compliance risk before it becomes a liability.
Role-based dashboards allow each user to configure their own workload view and monitor personal productivity in real time as they move through their case queue.
Physician scorecards, CMI trending, readmission analysis, length-of-stay analysis, query metrics, and team productivity reporting — all built in, all accessible from day one.
A closed-loop CDI system. Data flows in at admission, agents go to work immediately, and documentation gaps are closed before the claim ever leaves the hospital.
The moment a patient is admitted, the platform receives the ADT event via HL7/FHIR and queues the case for immediate AI evaluation.
The Admission Priority Agent evaluates clinical complexity and financial risk, generating a documented priority score with clinical reasoning for every case.
Cases are automatically routed to the right CDI specialist based on configurable assignment rules and workload parameters — no manual distribution.
The Chart Review Agent assesses documentation, codes, DRG assignments, and open queries. Specialists initiate physician queries directly in the platform, re-triggerable as documentation evolves.
Coders validate DRG assignments and sign off within the platform. Sign-off is withheld on open queries or pending reviews — ensuring nothing submits before it's clean.
Each agent is purpose-built for a specific CDI task. Together they eliminate the manual overhead that makes CDI unsustainable at lean community hospitals.
Evaluates each case at the point of admission and generates a documented priority score with clinical reasoning — enabling CDI specialists to direct attention to the highest-impact cases without manual triage.
Automates the distribution of patient cases to CDI specialists based on configurable assignment rules and workload parameters — reducing administrative overhead and ensuring every case reaches the right reviewer at the right time.
Performs a structured review of available documentation, diagnosis codes, DRG assignments, and open queries at initiation. Delivers a clinically-grounded assessment to support specialist decision-making. Re-initiatable at any point as documentation evolves — recommendations stay current throughout the patient's stay.
An embedded conversational AI assistant that supports CDI specialists and coders with real-time guidance on documentation requirements, coding logic, and clinical clarification — directly within the platform workflow.
From the moment a patient is admitted to the moment a clean claim is submitted — every step is covered, tracked, and auditable.
AI-ranked worklists and role-based dashboards replace manual triage. CDI specialists see exactly what needs attention — configured to their own workload view, updated in real time.
Every undercoded DRG and missed secondary diagnosis is recoverable revenue. The platform closes those gaps before the claim leaves the building — not after an audit finds them.
HAC flags and quality risks don't wait until discharge to surface. The platform monitors continuously — throughout the stay and post-discharge — so your team can intervene while it still matters.
A full analytics suite built in from day one — no additional modules, no additional cost. Everything your leadership team needs to track performance and demonstrate CDI program value.
: the data backboneHAREX ingests clinical data from any EMR or clinical system, in any format, transforms it into clean structured data, and routes it upstream and downstream to any connected system. It's the interoperability layer that lets ACRADO speak fluently with your existing infrastructure — and it's available as a standalone offering, independent of the CDI platform.
Connects to any EMR or clinical system regardless of native format — HL7 v2, FHIR, flat files, custom feeds — normalizing everything into a single structured pipeline.
Data flows both upstream and downstream to any connected system — keeping every downstream consumer, from CDI agents to third-party reporting tools, in sync in real time.
Large volumes of clinical data are extracted, transformed into structured formats, and loaded on schedule — so historical and high-volume datasets are as accessible as real-time feeds.
Transformed data is delivered directly to dashboards and reporting interfaces for managers and end users — clean, structured views without a separate integration project.
HAREX isn't limited to CDI. Healthcare organizations can license HAREX independently as a flexible integration and data-processing engine for any clinical interoperability need — no ACRADO required.
These are not projections. They are audited outcomes from Year 1 of live production at a Chicago-area hospital — the same deployment model offered to every new client.
The platform went live at a Chicago-area community hospital following a no-cost pilot. Within the first year of production, the hospital's Case Mix Index improved measurably and revenue recapture exceeded $1.5M — without adding CDI headcount.
The deployment model is the same for every new client: a fully funded 6-month pilot, no cost and no commitment. Your team runs the platform on real patients. We demonstrate the results. You decide what happens next.
Clinical Data Intelligence is a Chicago-based healthcare AI company founded on a straightforward premise: the tools CDI teams use today were built for a different era of documentation, data, and compliance.
We started with deep domain expertise — years spent inside hospital CDI operations, implementing revenue cycle programs, and building interoperability infrastructure across health systems. That experience shaped every design decision in the platform.
The result is a workflow-first system where AI doesn't replace clinical judgment — it eliminates the administrative noise that obscures it. Purpose-built for safety-net and community hospitals where CDI has to work without adding headcount.
12+ years in healthcare informatics, clinical data architecture, and hospital interoperability. Led implementation of CDI and revenue cycle programs across multiple health systems. Deep expertise in HL7, FHIR, ADT integration, and clinical workflow design. Built the CDI platform from concept through pilot to first paid production contract.
10+ years across healthcare and technology. Full-stack development, system architecture, and EMR integration expertise. Responsible for platform engineering, clinical data pipeline performance, and AI agent infrastructure.
Your team runs the platform on real patients for 6 months. We demonstrate the results. You decide what happens next.
Whether you're evaluating CDI technology, running a lean program that needs a better platform, or simply want to see what the pilot would look like at your hospital — we're ready to have that conversation.