Surgical improvement project
Download
1 / 12

Surgical Improvement Project - PowerPoint PPT Presentation


  • 137 Views
  • Uploaded on

Surgical Improvement Project. SIP 2 Data Analysis. Key Metrics - Analysis. * Wednesday – late start day, data removed. Variation by Service. Patient Readiness Grid. Patient in Pavilion Pre-OP till HA Pick-up. Patient in OR. Process Walk-Patient in Holding. Process Walk - Patient in OR.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Surgical Improvement Project' - ginger


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Surgical improvement project

SurgicalImprovementProject

SIP 2 Data Analysis


Key metrics analysis
Key Metrics - Analysis

* Wednesday – late start day, data removed








Summary
Summary

  • Agreement on definitions of times essential.

  • Billing times do not necessarily indicate work times (ie. Anesthesia start time based on billing time, not actual time)

  • Data indicates consistency of late starts at all sites.

  • Greatest delay, and greatest “pain” in the Main OR.

  • Variation in time (SD) for the different sites, days of week, and overall steps in the process: Check-in to Anest start, Anest start to In-room, In-room to Anest ready, and Anest ready to Incision - are relatively uniform and small, (15-20 min)

  • Delay and variation analysis by

    • Service (

    • Type of procedure (delay for craniotomy, spine, gastric bypass are outliers)

      shows some services and types of patients have greater variation and delay

  • 1/2 to 2/3 of time is spent between patient arrival and Anesthesia start.

  • Mismatch between Preanesthesia Clinic criteria for pt. arrival (based on complexity of patient and amount of preop preparation) and Main OR Transport criteria to the Main OR Preanesthesia area (Gale’s area).

  • Mismatch between anesthesia staff arrival time and expectations for anesthesia start time.

  • Anesthesia faculty over committed to start two rooms simultaneously.


ad