2004
DOI: 10.1097/00004010-200410000-00002
|View full text |Cite
|
Sign up to set email alerts
|

A Simplified Analysis to Determine the Impact of Surgical Procedure Time on Pediatric Anesthesia Productivity

Abstract: With fee-for-service (FFS) reimbursement, anesthesiologists benefit financially from cases that take longer than expected. Capitation, or fixed anesthesia reimbursement (FAR), might result in financial losses for such inefficient cases. In this investigation, we used the Centers for Medicare and Medicaid Services' average anesthesia times as benchmarks for efficiency and examined case time characteristics for three surgical services: otorhinolaryngology, general surgery, and orthopedics. Our model demonstrated… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2005
2005
2008
2008

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…In conclusion, it can be said that a computer simulation based on discrete events allowed for the suggestion of a simple and feasible organizational change (in the type of surgical room scheduling) that would introduce significant gains in the system performance. Other methodologies could have been used to this end [15–17], but the simulation tool could provide valuable insights into the functioning of the analysed hospital system, as indicated by the fact that some of the presented simulations did not yield the ‘obvious’ (expected) consequences. For instance, no productivity gains could be detected when the number of PABs was increased without concurrent changes in the type of room scheduling.…”
Section: Discussionmentioning
confidence: 99%
“…In conclusion, it can be said that a computer simulation based on discrete events allowed for the suggestion of a simple and feasible organizational change (in the type of surgical room scheduling) that would introduce significant gains in the system performance. Other methodologies could have been used to this end [15–17], but the simulation tool could provide valuable insights into the functioning of the analysed hospital system, as indicated by the fact that some of the presented simulations did not yield the ‘obvious’ (expected) consequences. For instance, no productivity gains could be detected when the number of PABs was increased without concurrent changes in the type of room scheduling.…”
Section: Discussionmentioning
confidence: 99%