The lean quality improvement course is divided into three parts. The first is an introduction to lean techniques and simulation based education, followed by a hands-on activity where participants will use their new knowledge. The second part involves three case studies in lean implementation focused on patient safety, productivity, and failures in lean implementation. The final part of the course focuses on cognitive aspects of lean and how to use lean approach to decrease cognitive bias. Meeting participants will gain an applied knowledge of lean concepts while recognizing how lean may be used to decrease cognitive errors. Faculty/Authors LMU CommitteeCME/CMLE Credit: 1.5Estimated Completion Time: 1.5 hour Format: Online Educational Activity and Post ExamPhysician Competencies: Medical knowledge
Eligibility for CME/CMLE Credit: Max three attempts. You will have a maximum of three attempts to meet the following criteria:
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. This activity has been planned and implemented in accordance with the Essential Areas and Policies of the Accreditation Council for Continuing Medical Education (ACCME). Credit Designation Statement: The American Society for Clinical Pathology (ASCP) designates this journal-based CME activity for a maximum of 1.5 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:
The faculty have no relevant financial relationships with commercial interests to disclose
Technical Considerations
Release Date: 10/8/2014Review Date:Expiration Date: 9/30/2026
Improve participants' skills in quality improvement methods, root cause analysis and process redesign.
Improve participant knowledge of simulation methods.
Improve participant skills involved in recognizing bias in the diagnostic process.