Overscheduling: Difference between revisions
From Guide to YKHC Medical Practices
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# Each patient has the same likelihood to no-show.<br> | # Each patient has the same likelihood to no-show.<br> | ||
# The likelihood that each patient is a no-show is statistically independent of the likelihood of no-show of the other patients.<br> | # The likelihood that each patient is a no-show is statistically independent of the likelihood of no-show of the other patients.<br><br> | ||
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In the table below, the columns show increasing no-show rates (10% thru 60%) and the rows show increasing numbers of patients scheduled (6 thru 12).<br> | |||
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{| class="wikitable" | {| class="wikitable" | ||
|- | |- | ||
! | ! | ||
! | ! 10% | ||
! | ! 20% | ||
! | ! 30% | ||
! | ! 40% | ||
! | ! 50% | ||
! | ! 60% | ||
|- | |- | ||
| 6<br /> | | 6<br /> | ||
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| 7 | | 7 | ||
| | | [[File:Overscheduling 07 10.pdf|300px]] | ||
| | | [[File:Overscheduling 07 20.pdf|300px]] | ||
| | | [[File:Overscheduling 07 30.pdf|300px]] | ||
| | | [[File:Overscheduling 07 40.pdf|300px]] | ||
| | | [[File:Overscheduling 07 50.pdf|300px]] | ||
| | | [[File:Overscheduling 07 60.pdf|300px]] | ||
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'''Limitations''' | |||
# In reality, the patient no-show probability is only partially statistically independent but also partially statistically linked (i.e. via the weather). | |||
Revision as of 06:48, 26 October 2021
Definition: to schedule in excess of capacity.
Purpose: to achieve the desired productivity when a substantial percentage of patients are expected to be no-shows (i.e. not show up for their appointment).
For different no-show rates and different numbers of appointments, the likelihood of a certain number of patients showing up can be probabilistically modeled.
Second-order approximation (bootstrap method)
Assumptions:
- Each patient has the same likelihood to no-show.
- The likelihood that each patient is a no-show is statistically independent of the likelihood of no-show of the other patients.
In the table below, the columns show increasing no-show rates (10% thru 60%) and the rows show increasing numbers of patients scheduled (6 thru 12).
| 10% | 20% | 30% | 40% | 50% | 60% | |
|---|---|---|---|---|---|---|
| 6 |
|
|
|
|
|
|
| 7 | 
|
|
|
|
|
|
| 8 | ||||||
| 9 | ||||||
| 10 | ||||||
| 11 | ||||||
| 12 |
Limitations
- In reality, the patient no-show probability is only partially statistically independent but also partially statistically linked (i.e. via the weather).
