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Analyze Rosters: Clinic Scheduling Issues

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Coursera

Analyze Rosters: Clinic Scheduling Issues

Hurix Digital

Instructor: Hurix Digital

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Proactive schedule audits ensure smooth clinic workflows and prevent disruptions affecting patient care.

  • Consistent reviews detect double bookings and authorization issues with accuracy and detail.

  • Accurate scheduling boosts patient satisfaction and improves overall clinic efficiency.

  • Identifying scheduling conflicts early prevents delays and enhances patient experience.

Details to know

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Recently updated!

January 2026

Assessments

4 assignments¹

AI Graded see disclaimer
Taught in English

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Build your subject-matter expertise

This course is part of the Optimizing the Clinic: Basics of Medical Office Management Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

Learners will develop foundational skills in systematic roster analysis, learning to spot double bookings, authorization gaps, and provider availability conflicts before they disrupt clinic operations.

What's included

2 videos2 readings1 assignment

Learners will master advanced resolution strategies and implement systematic auditing processes to prevent scheduling conflicts while creating sustainable workflows for ongoing operational excellence.

What's included

1 video1 reading3 assignments

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Instructor

Hurix Digital
Coursera
101 Courses2,667 learners

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Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.