End Mid-Cycle
Revenue Leakage
for Good

Iodine's Aware Suite takes a revolutionary approach to mid-cycle revenue capture. One that goes far beyond what rules, marker and NLP based solutions can do.
01 CAPABILITIES

A Revolutionary
Approach to Solving
Revenue Leakage

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Healthcare organizations experience mid-cycle revenue leakage for a variety of reasons — from lack of CDI resources to inefficient query processes and beyond. AwareCDI is the only solution on the market that addresses the problem every step of the way, from admission through post-billing review.

It’s all made possible by CognitiveML, the industry’s most advanced and versatile AI engine. With the AwareCDI platform, healthcare organizations can:

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  • Maximize CDIS efficiency
  • Capture more revenue
  • Optimize allocation of resources
  • Increase query creation & response rates
  • Minimize denials & DNFB
02 SOLUTIONS

Solutions for Every Stage
of the Mid-Revenue Cycle

Concurrent TM
Interact TM
Add-on Modules
Concurrent TM

Concurrent

Don’t just capture documentation, capture accurate documentation

Compares existing narrative language against CognitiveML predictions to identify the cases with the greatest likelihood of opportunity for documentation improvement

Prioritizes cases in the CDS workflow, eliminating review of cases with no improvement opportunity

134% Lift in Query Volume

90% of hospitals saw improvement in MCC Capture

Interact TM

Interact

Easily create compliant queries that become part of the permanent medical record. Convenient and intuitive interface for query exchange encourages collaboration and physician response

Optimizes physician response through EMR-integration and mobile interfaces to reduce physician burden and further amplify CDI workflow productivity

On average, physicians spend 60 seconds or less responding to queries

94% physician response rate

<31 hours average time CDI waits for physician response

Add-on Modules

Forecast

Delivers a real-time predicted discharge DRG and GMLOS for all inpatients, based on available clinical patient information – even if no prior manual review has been performed


Retrospect

Facilitates post-discharge, pre-bill reviews by comparing existing narrative language against CognitiveML predictions to identify the cases with the greatest likelihood of documentation and coding opportunities

95% of facilities experience increase in reimbursements

$48+ average additional reimbursement per discharged inpatient

03 CUSTOMERS

Trusted by

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Dr. Howard Rodenberg / / Baptist Medical Center
Concurrent wasn’t just going through the NLP and looking at phrases and spitting it out. It was looking at the phrases, what they meant, clinical diagnosis, and how it matched the clinical documentation.
Kati Beisel / Director of Health Information / INTEGRIS Health
When we first saw the platform, we thought, Wow - this is what we’re looking for it went beyond Natural Language Processing (NLP) to look at the entire patient encounter in totality, ensuring that the CDIS team could be more efficient in their workflow while still utilizing critical thinking skills and maintain physician engagement.
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