Enter the total number of discharges and the total number of beds into the Calculator. The calculator will evaluate the Bed Turnover Rate. 

Bed Turnover Rate Formula

BTR = D / B


  • BTR is the Bed Turnover Rate ()
  • D is the total number of discharges
  • B is the total number of beds

To calculate Bed Turnover Rate, divide the total number of discharges by the total number of beds.

How to Calculate Bed Turnover Rate?

The following steps outline how to calculate the Bed Turnover Rate.

  1. First, determine the total number of discharges. 
  2. Next, determine the total number of beds. 
  3. Next, gather the formula from above = BTR = D / B.
  4. Finally, calculate the Bed Turnover Rate.
  5. After inserting the variables and calculating the result, check your answer with the calculator above.

Example Problem : 

Use the following variables as an example problem to test your knowledge.

total number of discharges = 2500

total number of beds = 1500


What is a good Bed Turnover Rate?

A good Bed Turnover Rate varies by facility type and healthcare needs, but generally, a higher rate indicates efficient use of resources, as long as patient care is not compromised.

How does the Bed Turnover Rate affect hospital operations?

A higher Bed Turnover Rate can indicate better efficiency and potentially more revenue for the hospital. However, it’s important to balance this with the quality of care and the hospital’s capacity to manage high turnover without stress.

Can Bed Turnover Rate impact patient care?

Yes, both directly and indirectly. Directly, a very high turnover rate might rush patient care processes, while indirectly, it can affect the hospital’s ability to thoroughly clean and prepare beds, potentially leading to health risks.

Are there any strategies to improve Bed Turnover Rate without compromising patient care?

Yes, strategies include optimizing discharge planning, improving communication among care teams, investing in staff training, and implementing technology solutions for bed management and patient flow.