Description
This is a 100Mb zipped file containing pdf presentation handout and video recording of the actual webinar.
CMBES Members: Discounted price (available when you log in to your CMBES account)= $100)
For actual registrants of the this webinar: Free for a year after the original event. (To get this, you need to log in to your CMBES account and then go to STORE)
Binseng Wang ScD, FACCE, CCE - ARAMARK Healthcare Technologies
While debated for over 30 years, productivity measurements and benchmarking continue to be a challenging topic for the clinical engineering (CE) community. At the core of this challenge is the lack of reliable indicators substantiated by actual data. An attempt to evaluate some traditional and newer indicators using data collected from two distinct sources, each with >150 hospitals. Results confirm early concerns that worked hours self-entered by CE staff are subject to misuse and, thus, should be avoided. In contrast, good statistical correlation was found for staffing data with several hospital indicators that are consistently collected and widely available. Good correlation with CE department indicators was more difficult to find, apparently due to the lack of reliable records and consistent accounting of all CE resources and expenditures. While no single, easy to measure-and-understand indicator emerged as a replacement for the worked-to-paid-hours ratio, it is shown that a multi-dimensional model can be built to benchmark productivity and, thus, evaluate staffing. Calculations from such a model are accurate, but not precise, so the results need to be interpreted carefully. With proper precautions, such comparisons can be used as a good starting point for a more detailed analysis of the differences that could reveal substantive causes such as service scope and strategy, organizational characteristics and geographical challenges as well as opportunities for major productivity improvements.
