The Massachusetts General Hospital (MGH) is merging its older endoscope processing facilities into a single new facility that will enable high-level disinfection of endoscopes for both the ORs and Endoscopy Suite, leveraging economies of scale for improved patient care and optimal use of resources. Finalized resource planning was necessary for the merging of facilities to optimize staffing and make final equipment selections to support the nearly 33,000 annual endoscopy cases. To accomplish this, we employed operations management methodologies, analyzing the physical process flow of scopes throughout the existing Endoscopy Suite and ORs and mapping the future state capacity of the new reprocessing facility. Further, our analysis required the incorporation of historical case and reprocessing volumes in a multi-server queuing model to identify any potential wait times as a result of the new reprocessing cycle. We also performed sensitivity analysis to understand the impact of future case volume growth. We found that our future-state reprocessing facility, given planned capital expenditures for automated endoscope reprocessors (AERs) and pre-processing sinks, could easily accommodate current scope volume well within the necessary pre-cleaning-to-sink reprocessing time limit recommended by manufacturers. Further, in its current planned state, our model suggested that the future endoscope reprocessing suite at MGH could support an increase in volume of at least 90% over the next several years. Our work suggests that with simple mathematical analysis of historic case data, significant changes to a complex perioperative environment can be made with ease while keeping patient safety as the top priority.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10916-018-0965-yDOI Listing

Publication Analysis

Top Keywords

endoscope reprocessing
8
process flow
8
endoscopy suite
8
reprocessing facility
8
reprocessing
7
optimizing endoscope
4
reprocessing resources
4
resources process
4
flow queuing
4
analysis
4

Similar Publications

Background: The evolution of endoscopic surgery has introduced a multitude of instruments, available in both disposable and reusable variants, influencing practices across various surgical specialties. Instrument selection is complex, considering individual preferences and institutional factors such as costs, instrument performance, and factors related to cleaning and sterilization. Notably, environmental sustainability has gained prominence due to the threat of climate change.

View Article and Find Full Text PDF

Purpose: This study aims to develop and implement an economic evaluation using a micro-costing approach to provide a precise and transparent analysis of the direct costs of cystoscopic procedures in Korean hospitals. The study seeks to identify key cost components and evaluate whether current reimbursement rates accurately reflect these direct costs.

Materials And Methods: Significant variations in cost items were identified across different studies.

View Article and Find Full Text PDF
Article Synopsis
  • * Results indicate that while disposable cystoscopes might reduce waste and water usage, the overall environmental benefits of disposables versus reusables are unclear due to varying reprocessing methods.
  • * The review highlights the need for improved strategies, such as better reprocessing of reusable scopes and conducting environmental audits in the healthcare industry, to decrease the carbon footprint of urological procedures.
View Article and Find Full Text PDF

Background And Aim: To reduce bacterial contamination after reprocessing, various new designs of duodenoscopes have been developed to better expose the elevator complex for cleaning. We compared the rates of bacterial contamination and organic residue in disposable distal cap duodenoscopes and detachable elevator duodenoscopes after manual cleaning and high-level disinfection (HLD), as well as their cost-effectiveness.

Methods: A total of 162 duodenoscopes were randomly assigned to either Group A (disposable distal caps; n = 81) or Group B (detachable elevator; n = 81).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!