
GI Group Achieves Stronger CDI Accuracy, Fewer Missed Details
Our client is a growing gastroenterology practice striving to enhance Clinical Documentation Integrity (CDI) across their providers. With a mix of high patient volumes and complex cases, the practice needed a way to capture documentation that fully reflected the clinical picture — without adding administrative burden to physicians.
The Challenge
The practice faced common CDI pain points:
- Time-consuming documentation that distracted from patient care
- Missed details leading to undercoding and revenue leakage
- Inconsistent note quality across providers
- Limited tools for ensuring compliance and audit readiness
The Solution
The team adopted Ember, an AI-powered platform designed for specialty practices like GI. Unlike traditional dictation tools, Ember did more than transcribe. It proactively flagged missing documentation, ensured completeness, and supported coding accuracy.
Key Highlights:
- Captured full complexity of GI encounters with comprehensive notes
- Increased provider confidence that documentation matched the care delivered
- Proactive CDI alerts to safeguard against undercoding or compliance risks
- Enabled providers to focus on patient engagement, not paperwork
TL;DR:
- Better CDI = more accurate, defensible coding
- Reduced administrative burden for GI physicians
- Greater consistency across the practice
The Results
Within weeks of adopting Ember, the practice experienced:
- Strong improvements in CDI completeness
- Fewer missed elements impacting coding
- Increased adoption driven by peer advocacy
- Confidence to retire outdated transcription tools
As one physician noted:
“Ember makes sure we’re capturing everything we do, so we can focus on our patients and know the documentation will stand up.”
Lynn Hsing is a recognized leader in healthcare marketing. Having worked closely with health systems and providers, Lynn brings a nuanced understanding of the challenges they face — from administrative burden and claim denials to reimbursement delays and staff shortages. This firsthand insight has shaped Lynn’s ability to translate complex AI solutions into meaningful value for healthcare organizations.