AI Scribing and Telephone Management
In his ASCRS 2025 presentation titled "AI Scribing and Telephone Management," Robert T. Chang, MD, shared his insights about how artificial intelligence has impacted his practice and how it can help other practices to be more efficient.
Clinical Scorecard: AI Scribing and Telephone Management
At a Glance
Category Detail
Condition AI Integration in Medical Practices Key Mechanisms Real-time suggestions, autonomous task performance, environmental listening Target Population Healthcare providers and patients Care Setting Medical practices
Key Highlights
AI agents enhance note-taking and patient communication. AI scribes can autonomously document patient visits and suggest codes. AI-powered voice platforms can manage calls with human-like interaction. AI systems demonstrate effective verbal communication capabilities. AI technology is evolving to improve efficiency in healthcare. Guideline-Based Recommendations
Diagnosis
Utilize AI scribes to document patient history and assessments. Management
Implement AI agents for call management and appointment scheduling. Monitoring & Follow-up
Analyze call data and transcripts for insights into patient interactions. Risks
Consider potential concerns regarding AI's impact on patient-provider relationships. Patient & Prescribing Data
Patients receiving care in practices using AI technology.
AI can assist in pre-charting test orders and prescription refills.
Clinical Best Practices
Incorporate AI tools to streamline documentation and communication. Ensure transparency with patients regarding AI use during consultations. Regularly review AI-generated data for accuracy and relevance. Related Resources & Content
