AI in Action: Real-World Applications for Credentialing and Primary Source Verifications

Event Materials (Key Required)

Credentialing in healthcare demands precision, speed, and strict compliance-especially when patient safety is on the line. In this webinar we will explore how artificial intelligence is reshaping the credentialing process for medical staff offices and healthcare organizations.

Discover how AI-powered tools can point you to new primary source verification sites, reduce administrative burden, and enhance accuracy in provider credentialing. We’ll walk through real-world use cases, discuss implementation strategies, and highlight how AI can support regulatory compliance while improving turnaround times.

Whether you are part of a medical staff office, credentialing team, or healthcare HR department, this session will equip you with practical insights to modernize your workflows and elevate your credentialing standards.

Learning Objectives:

• Describe how AI tools (like ChatGPT, CoPilot, Gemini or other search automation platforms) can assist in locating accurate contact information for primary source verification of employment, education, training, and malpractice history.
• Demonstrate methods for verifying whether educational institutions participate in centralized databases such as the National Student Clearinghouse or require direct contact with registrars or GME offices.
• Identify best practices and ethical considerations for integrating AI-assisted research into the credentialing workflow while maintaining NCQA, TJC, URAC, and CMS compliance standards.
• Explore real-world use cases where AI helps reduce turnaround times in credentialing without sacrificing accuracy.
• Recognize risks, limitations, and data privacy considerations when using AI for primary source verification.
• Explain how AI can support documentation and audit readiness for credentialing teams.
• Discuss tips for writing effective AI prompts to get accurate and useful verification information.
• Understand future trends and potential impacts of AI on credentialing processes.

Areas Covered in the Session:

• Why use AI for credentialing
• What AI tools are we talking about
• Tips for prompts that yield the best results
• Use case scenarios employment, malpractice, education/training and case logs
• Ethical and compliance considerations
• Risks and limitations
• Best practice for AI use in credentialing
• Future implications that involve credentialing technology
• Live Q&A Session

Suggested Attendees:

• Medical Staff Professionals in Hospitals and Clinics
• Payer Enrollment Staff
• Credentialing Staff at Any Other Health Care Organization Including Staffing Agencies
• Compliance Officers Overseeing Credentialing Processes
• Directors and Managers of Medical Staff Services
• Delegated Credentialing and CVO Staff
• Provider Enrollment and Network Management Teams
• Compliance Officers and Quality Assurance Staff Overseeing Credentialing
• Health Information Management (HIM) Professionals Supporting Verification
• Medical Record Supervisors Involved in Verification Workflows
• Practice Managers and Office Managers Responsible for Credentialing
• Human Resources and Provider Onboarding Staff
• Medical Staff Leaders and Committee Members
• NAMSS Members and Credentialing Educators
• IT and Data Teams Supporting Credentialing Systems and AI Tools
• Verification Specialists and Data Analysts Handling Primary Source Checks

Presenter Biography:

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Additional Information:

System Requirement:

• Internet Speed: Preferably above 1 MBPS
• Headset: Any decent headset and microphone which can be used to hear clearly

For more information, you can reach out to the below contact:
Toll-Free No: 1-302-444-0162
Email: care@skillacquire.com

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