Melissa P. Upton, MD
Department of Pathology, University of Washington, Seattle

CME/CMLE Credit: 1.0
Estimated Completion Time: 1 hour
Format: Online Educational Activity and Post-Test

Physician Competencies: Medical Knowledge, Patient Care & Procedural Skills, Practice-Based Learning & Improvement

Eligibility for CME/CMLE credit: Max three attempts. You will have a maximum of three attempts to meet the following criteria:

• Module ≥80% = CME credit
• Module <80% = No CME credit, after a maximum of three attempts

Default Credit Type: None (You must meet the eligibility requirements in order to obtain CME credit.)

Accreditation Statement: The American Society for Clinical Pathology (ASCP) is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education (CME) for physicians.

Credit Designation Statement: The American Society for Clinical Pathology (ASCP) designates this journal-based CE activity for a maximum of 1 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Instructions

To claim CME/CMLE credit for the exercise, do the following:

1. Review the Disclosure Information.
2. Review the Technical Considerations.
3. Click Go to Course to view an overview of the modules in this course.
4. Click Access to begin the course.
5. Review the Educational Activity.
6. Complete and submit the Post-Test. You will have a maximum of three attempts to obtain the required score. You will be notified if you have met the credit requirements after each attempt.
7. Submit the course Evaluation to register your credit.

Disclosure Information​
The Journal CME editor has no relevant financial relationships with ineligible companies to disclose.

Technical Considerations

Release Date: 3/15/2024
Review Date:
Expiration Date: 3/15/2027

• Discuss the advantages and disadvantages of antimicrobial susceptibility testing methods currently used in most laboratories.
• List the three components of a matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) instrument, and describe how a sample is prepared for analysis.
• Compare the approaches of the two major MALDI-TOF methods used to detect AMR, and describe the potential benefit of using a machine learning-based approach with MALDI-TOF.