AI-Enabled Practice Management System

Reducing charting time by 70% with AI-powered clinical documentation, smart code suggestions, and automated billing — so clinicians can focus on patient care.

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About the Project

Bonami Software partnered with a US-based healthcare technology company to design and build an AI-first Electronic Health Records (EHR) and Practice Management System from the ground up. The platform serves multi-specialty clinics, automating clinical documentation, billing workflows, and patient care coordination.

Traditional EHR systems burden clinicians with excessive data entry, fragmented workflows, and manual billing processes. Our client envisioned a system where AI handles the heavy lifting — listening to patient encounters, generating structured notes, suggesting diagnosis codes, and automating claim submissions — so providers can focus on patient care.

Industry
Healthcare
Platform
Web (SaaS)
Services
Design, AI/ML, Full-Stack Development
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What if an EHR Could Listen, Understand, and Document on Its Own?

Clinicians should never have to choose between patient care and paperwork. Our client envisioned an intelligent system that could handle the documentation burden autonomously — from ambient encounter capture to structured note generation.

By embedding AI at every layer of the clinical workflow, we set out to eliminate manual charting, automate billing code assignment, and give providers back their most valuable resource: time with patients.

Clinicians deserve technology that
works for them — not the
other way around

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Our Solution

AI Clinical Scribe
  • Real-time ambient listening during encounters
  • Automatic structured note generation
Smart Code Suggestion
  • AI-driven ICD-10 & CPT code recommendations
  • 85% first-pass accuracy rate
Automated Claim Pipeline
  • End-to-end claim generation and submission
  • Pre-submission error detection & scrubbing
Patient Portal & Workflows
  • Self-service appointment scheduling
  • Configurable multi-specialty templates

The Challenges

Excessive Documentation Burden

Physicians spend an average of two hours on EHR documentation for every hour of patient care. The existing workflows required manual entry of clinical notes, lab results, and encounter summaries — leading to burnout and reduced face-time with patients.

Fragmented Billing Workflows

Coding and billing were handled by separate teams using disconnected tools. ICD-10 and CPT code assignment was manual, error-prone, and introduced weeks of delay between patient encounters and claim submissions.

Multi-Specialty Complexity

The system needed to support diverse specialties — from primary care to cardiology to orthopedics — each with unique documentation templates, coding requirements, and clinical workflows.

Regulatory Compliance

Healthcare data demands HIPAA-compliant architecture, end-to-end encryption, audit trails, and role-based access control across every layer of the application.

What Makes Our AI-Enabled Practice Management System Different?

We built an EHR platform where AI does the heavy lifting — from ambient clinical documentation to automated billing — so providers spend less time on screens and more time with patients.

Our ambient AI scribe listens to patient encounters in real-time, generating structured clinical notes automatically — eliminating manual charting and reducing documentation time by 70%.

The Results

70%
Reduction in
Charting Time
85%
Code & Claim
Accuracy
40%
Faster Claim
Processing
3x
Patient Throughput
Increase

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