MedFlorida Implements AI to Streamline Clinical Tasks

The Deerfield Beach practice integrates ambient AI tools to reduce physician burnout and manage medical billing claims.

Updated on Oct. 20, 2026 in Artificial Intelligence

Isometric editorial illustration of stacked modular clinical forms, representing the structure and efficiency of automated medical administrative systems. — MedFlorida Medical Centers in Deerfield Beach has deployed AI systems from Sunoh.ai and eClinicalWorks to automate clinical documentation and billing. AI Illustration. Upload story photo >

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MedFlorida Medical Centers in Deerfield Beach has deployed artificial intelligence tools from eClinicalWorks and Sunoh.ai to assist with revenue cycle management and clinical documentation. The initiative aims to alleviate administrative burdens and improve retention for primary care providers.

Why it matters

Providers face significant financial hurdles as private payers initially deny roughly 15% of medical claims, contributing to a collective $19.7 billion annual industry cost for fighting denials. By automating documentation and billing alerts, the practice seeks to reclaim time and increase patient care capacity.

Physicians typically spend 5.9 hours of their 11.4-hour workday in electronic health records. The implemented ambient AI scribes draft visit notes from patient conversations, while revenue tools identify missing billing information during the encounter.

The players

MedFlorida Medical Centers

This primary care practice is headquartered in Deerfield Beach, Florida, and serves the local community.

Mazin Shikara

He is a medical practitioner who has led MedFlorida Medical Centers since 2007.

The details

The practice utilizes Sunoh.ai for ambient clinical documentation to generate notes for physician review and eClinicalWorks to flag missing billing data. These systems are designed to address the high administrative load that keeps physicians occupied for over half of their workday.

Mazin Shikara began practicing medicine in 1991.
Mazin Shikara began leading MedFlorida in 2007.
JAMA Network Open published an AI scribe study in October 2025.

The Tech Race

The adoption of Sunoh.ai ambient clinical documentation represents a departure from traditional manual charting processes in primary care. MedFlorida follows a growing trend of health systems adopting this technology to reduce the administrative hours spent by physicians in electronic health records.

Patients may notice physicians spending less time focused on screens and more time engaged in direct conversation during appointments. The implementation also helps reduce billing errors, potentially lowering the frequency of rejected claims for local residents.

The takeaway

Integrating AI into the clinical workflow can help medical practices combat high burnout rates and operational inefficiencies. Physicians should monitor how these tools evolve to ensure note accuracy remains a priority while reducing their administrative burden.