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Professional Education
Loss Lessons: Practicing Out of Bounds
Unlicensed staff are vital to efficient patient flow in medical practice. Healthcare organizations have many tasks that are safely and effectively carried out by skilled unlicensed support staff every day. To reach such efficiencies with safety and reliability, careful attention must be given to scope of practice and state and local statutes regarding delegation and supervision. Policies and protocols that outline the scope of practice for unlicensed staff to follow independently, and when they must consult with licensed staff, help even the most talented of your staff understand their boundaries. This case illustrates how informal verbal guidelines can blur the lines and cause well-meaning staff to cross the boundary lines of their scope leading to misdiagnosis and death.

Professional Education
Module 4: Recognition, Diagnosis, and Treatment of Substance Use Disorder (Innovations and Smart Approaches in Safe Prescribing)
Learn several new concepts and innovation tips. Learn about the new CDC Guidelines about pain. This program will show how to treat pain, opioid withdrawal, and/or opioid addiction. It will show how to taper opioids and you will learn how to conduct “motivational interviewing.” You will be shown strategies for recognizing substance use disorder (SUD) and opioid use disorder (OUD). Refamiliarize yourself with screening for fentanyl. Provide valuable pharmacological and nonpharmacological resources to connect patients to treatment for addiction. Discuss individualized treatment plans that are tailored to specific patient needs when treating OUD. This module consists of four audio-filled videos. To successfully complete this course, you need to achieve a passing score of 80 percent in the post-test questions.

February 14, 2024, The Doctors Company Foundation
Grant Case Study: Assessing Surgical Competency Through Automated AI-Powered Surgical Video Analysis
Traditional approaches to assessing surgical competency are fraught with limitations that include subjectivity and lack of multiple raters and longitudinal observation. Applying machine learning and AI to cataract surgical videos provides a unique opportunity to design new evaluation tools that not only measure a surgeon’s skill level, but can also inform future surgical instruction.

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