End Mid-Cycle
Revenue Leakage
for Good

The Iodine AwareCDI 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 suite of solutions, 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

01 Concurrent TM
02 Interact TM
03 Retrospect TM
04 Forecast TM
05 Introspect TM
01 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

75% Lift in Query Volume

91% of hospitals saw improvement in MCC Capture

02 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

99% physician response rate

15% increase in CDI opportunities

Learn More

03 Retrospect TM

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

Eases the burden on CDI and coding teams by prioritizing cases in their workflow, eliminating review of cases with no improvement opportunity

95% of facilities experience increase in reimbursements

04 Forecast TM

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

Fully automated, clinical driven predictions minimize the need for CDI to identify working DRGs

Machine-learning engine is based on 20m+ admissions
.

05 Introspect TM

Introspect

Equips CDI leaders with the right analytics so they can ensure people and processes are aligned

Provides deep, insightful and actionable visibility which facilitates evidence-based management across all aspects of documentation reliability

Detailed dashboards and metrics that drill down to the CDIS, physician, and query topic level

Highly configurable to meet organizational needs

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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