Evaluated by: Laura W. Lamps, M.D., UAMS Health, July 8, 2016
Original release date: July 8, 2016
Access to this course expires on: March 6, 2019
All Anatomic Pathology practices are faced with performing Quality Assurance (QA)/Quality Improvement (QI) programs to monitor the effectiveness and outcomes of their anatomic processes. The success of these programs has been hampered by the usually sporadic and very labor intensive process of manual entry, extraction and analysis of data elements. The arduous nature of this process limits the scope of issues monitored and causes significant time delay between actual errors and the process of detecting and correcting these problems.
A series of presentations begin with an exploration of numeric and structured Anatomic Pathology data sets that can serve as the basis for measuring diagnostic testing performance. There are practical demonstrations of how simple tools such as Microsoft Excel can be used to gain insights from the data and trends behind your practice. The next segment shows how Informatics tools can automate components of Cytopathology Quality Management including Cytotechnologist work-load recording and screening performance, diagnostic performance statistics by preparation, and required follow-up of abnormal pap results. The final segment will reveal the design of a comprehensive Informatics system for Surgical Pathology Quality Management that has been in place at Geisinger Medical Laboratories for 5 years. This system elicits employee input to improve quality oversight of hundreds of quality issues simultaneously, automates data collection and display, facilitates communications between sections and shifts for real-time problem resolution, and enables evidence-based allocation of quality improvement resources.
This course is designed for pathologists, pathologists-in-training, cytotechnologists and laboratory managers with interest in modern Informatics techniques that can transform this process to an automated, real-time process of comprehensive, continuous Quality Improvement.
Upon completion of this educational activity, learners will be able to:
- Leverage common numeric and structured data sets for their Anatomic Pathology Quality Management program
- Understand how the application of informatics can save time and labor, and meet the regulatory demands of Cytopathology Quality Management
- Recognize the opportunity that Informatics tools offer to detect and resolve a broad scope of quality issues in real-time for comprehensive, continuous quality improvement in Anatomic Pathology.
To earn CME and SAM credit, all learners must take a content-based exam and achieve a minimum score of 80%. If learners do not achieve a passing score of 80%, they have the option to retake the exam. After you pass the test and complete the evaluation, your certificate of completion will be available to view and print by clicking here.
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