M*Modal CDI Engage Content
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M*Modal FD - CAPD - CDI
INTRODUCTION
Day 1 - Admit Note
Day 2 - CDI Chart Review
Day 3 - Progress Note
Day 4 - Discharge
Outcomes
Meet Mr. Allen!
Name
William Allen
Date of Birth
May 8, 1949
Gender
Male
Age
66 years-old
MRN
12524765
Known Medical Conditions
Congestive heart failure, hypertension, and coronary artery disease
Reason for admission to Gotham General Hospital
Chest pain and difficulty breathing
Gotham General Hospital goals of using M*Modal technology
:
Increase the frequency with which Pneumonia and Heart Failure are completed and accurately documented
Heart Failure and Pneumonia were identified as conditions that frequently lacked fully specified documentation.
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, or scroll down, for details behind this analysis.
Improve patient outcomes and communication
Improve accuracy of reimbursement capture
This demonstration will follow Mr. Allen's inpatient encounter and will demonstrate the role of M*Modal technology across the care continuum.
M*Modal CDI Assess
To enable targeted action for optimized, cost-effective impact, it is first important to know where your problems lie. M*Modal CDI Assess allows you to gain instant visibility into patient data typically trapped in the narrative to identify missed financial opportunities.
Below you will see examples of how this is done automatically across all narrative documents, reducing the need for costly manual abstraction, by leveraging the following:
Publicly available MEDPAR data to compare your facility to a peer group
Data available in narrative documents created by M*Modal Transcription services
CAPD Silent Mode data to understand potential real-time interactions
before
introducing messages to physicians during their documentation workflow
1. MEDPAR Analysis
Know your data:
After review of operational metrics, analysis of claims data at the diagnosis code level allows us to identify and prioritize condition focus areas:
2. Document Insights Analysis
Using narrative documentation-based dashboards, you can identify physicians in need of assistance and identify opportunities for improvement based on a variety of documentation quality standards.
3. CAPD Silent Mode Analysis
It is critical that every real-time message shown to a physician via CAPD is of value and highly accurate. When in Silent Mode, physicians will not experience any change in their use of Fluency Direct, however, behind the scenes we will keep track of which messages
would have been shown
if CAPD is enabled.
This helps to identify areas of opportunity for real-time CDI Engage messages and ensure that we have the right and highest-value conditions enabled per physician.