Study on optimal utilization of Operation Theater
A study on Optimum Utilization
Of Operation Theater
Aim of study:
To maximize use of all resources of operation theater to improve its efficiency.
Objectives:
To find out gaps in process flow
To find out Turn Around Time in OT
To count utilization hours of OT
To measure cancelation & delayed rate
To collect data on unplanned surgeries
To calculate opportunity loss
Research Methodology:
Research Design: Exploratory design & descriptive study
Sources of Data:
Sample Size: My universe for study was 165 patients (based on average monthly surgeries). I took random sampling of 103 patients over a period of 20 days i.e.62%.
Sampling Process:
Graphical & Statistical analysis of Study:
Avg. OT Utilization in % (last six months)
Interpretation:
Cancellation rate v/s booking rate
Delayed rate
Unplanned surgeries
Excessive unnecessary booking of OT hours
~Utilized
37%
~Utilized
24%
OT 1 & 2
OT 3, 4 & 5
Time Motion Analysis:
I did hypothesis on Time Motion Study in that I had considered Wheel in time,
Reaching time to OT table, Wheel out time OT, Wheel out time recovery.
Null hypothesis is 10 min for Time difference between Wheel in time & Reaching time to OT table & it was rejected.
Null hypothesis is 30 min for Time difference between Wheel out time OT & Wheel out time Recovery & it was rejected
Opportunity Loss:
Apollo OT charge per Hour = Rs 2500
Opportunity loss due to cancellation = Unutilized Hours * Rs. 2500
= 249*2500
= Rs. 6, 22,500 (for 15 days)
SOURCE: June 15th to July 6th 2010
Surgeon wise cancellation rate
Total OR Cases from 15th June to 6th July
C18
C17
C14
1
1
C12
1
C11
1
C10
1
C9
1
C8
34
1
C13
Cancelled
Cases
1
C15
182
1
C16
Scheduled
1
1
C7
C6
30
Unplanned
Cases
2
2
C4
3
3
C2
172
3
C3
Actual Cases
C5
3
10
C1
0
2
4
6
Series1
SOURCE: June 15th to July 6th
Of Operation Theater
Aim of study:
To maximize use of all resources of operation theater to improve its efficiency.
Objectives:
To find out gaps in process flow
To find out Turn Around Time in OT
To count utilization hours of OT
To measure cancelation & delayed rate
To collect data on unplanned surgeries
To calculate opportunity loss
Research Methodology:
Research Design: Exploratory design & descriptive study
Sources of Data:
Sample Size: My universe for study was 165 patients (based on average monthly surgeries). I took random sampling of 103 patients over a period of 20 days i.e.62%.
Sampling Process:
Graphical & Statistical analysis of Study:
Avg. OT Utilization in % (last six months)
Interpretation:
Cancellation rate v/s booking rate
Delayed rate
Unplanned surgeries
Excessive unnecessary booking of OT hours
~Utilized
37%
~Utilized
24%
OT 1 & 2
OT 3, 4 & 5
Time Motion Analysis:
I did hypothesis on Time Motion Study in that I had considered Wheel in time,
Reaching time to OT table, Wheel out time OT, Wheel out time recovery.
Null hypothesis is 10 min for Time difference between Wheel in time & Reaching time to OT table & it was rejected.
Null hypothesis is 30 min for Time difference between Wheel out time OT & Wheel out time Recovery & it was rejected
Opportunity Loss:
Apollo OT charge per Hour = Rs 2500
Opportunity loss due to cancellation = Unutilized Hours * Rs. 2500
= 249*2500
= Rs. 6, 22,500 (for 15 days)
SOURCE: June 15th to July 6th 2010
Surgeon wise cancellation rate
Total OR Cases from 15th June to 6th July
C18
C17
C14
1
1
C12
1
C11
1
C10
1
C9
1
C8
34
1
C13
Cancelled
Cases
1
C15
182
1
C16
Scheduled
1
1
C7
C6
30
Unplanned
Cases
2
2
C4
3
3
C2
172
3
C3
Actual Cases
C5
3
10
C1
0
2
4
6
Series1
SOURCE: June 15th to July 6th