MedSurg Patient Deterioration Burden Calculator

Fill in the fields below with your data to calculate the estimated burden of Med/Surg patient deterioration in your hospital.
The burden calculator will update automatically upon entering your clinical data.



Estimated increased LOS days
due to Patient Deterioration

Increased MedSurg LOS
Increased ICU LOS


Estimated patient Deterioration
Direct Costs

MedSurg LOS Costs


Estimated ptient Deterioration cases 7


Estimated Annual Rate of MedSurg Code Blues 11


This calculator is intended to be used only for the purpose of assessing and demonstrating potential cost savings ranges under normalized hospital cost conditions. The results and outcomes are estimations only and should not be interpreted as a guarantee or warranty of similar results. It does not suggest a definitive review of actual costs and savings incurred in a hospital. Savings are estimates only and specific to the individual case. Savings may not be typical and may vary.


(1) Agency for Healthcare Research and Quality (AHRQ). Healthcare cost and utilization project. National (Nationwide) Inpatient Sample (NIS). Date accessed:

(2) Society of Critical Care Medicine.

(3) Taheri, P. A., Butz, D. A., & Greenfield, L. J. (2000). Length of stay has minimal impact on the cost of hospital admission. Journal of the American College of Surgeons, 191(2), 123–130.

(4) Milbrandt, E. B., Kersten, A., Rahim, M. T., Dremsizov, T. T., Clermont, G., Cooper, L. M., Angus, D. C., & Linde-Zwirble, W. T. (2008). Growth of intensive care unit resource use and its estimated cost in Medicare. Critical care medicine, 36(9), 2504–2510.

(5) Slight, S. P., Franz, C., Olugbile, M., Brown, H. V., Bates, D. W., & Zimlichman, E. (2014). The return on investment of implementing a continuous monitoring system in general medical-surgical units. Critical care medicine, 42(8), 1862–1868.

(6) Definitive Healthcare. (2021). Top-10 hospital performance metrics you need to know.

(7) Zimlichman, E., Szyper-Kravitz, M., Shinar, Z., Klap, T., Levkovich, S., Unterman, A., Rozenblum, R., Rothschild, J. M., Amital, H., & Shoenfeld, Y. (2012). Early recognition of acutely deteriorating patients in non-intensive care units: assessment of an innovative monitoring technology. Journal of hospital medicine, 7(8), 628–633.

(8) Wang, J., Hahn, S. S., Kline M., Cohen R. I. (2017). Early in-hospital clinical deterioration is not predicted by severity of illness, functional status, or comorbidity. International Journal of General Medicine 2017:10 329–334

(9) Lighthall, G. K., Markar, S., & Hsiung, R. (2009). Abnormal vital signs are associated with an increased risk for critical events in US veteran inpatients. Resuscitation, 80(11), 1264–1269.

(10) Romero-Brufau, S., Gaines, K., Nicolas, C. T., Johnson, M. G., Hickman, J., & Huddleston, J. M. (2019). The fifth vital sign? Nurse worry predicts inpatient deterioration within 24 hours. JAMIA open, 2(4), 465–470.

(11) Perman, S. M., Stanton, E., Soar, J., Berg, R. A., Donnino, M. W., Mikkelsen, M. E., Edelson, D. P., Churpek, M. M., Yang, L., Merchant, R. M., & American Heart Association's Get With the Guidelines®—Resuscitation (formerly the National Registry of Cardiopulmonary Resuscitation) Investigators (2016). Location of In-Hospital Cardiac Arrest in the United States-Variability in Event Rate and Outcomes. Journal of the American Heart Association, 5(10), e003638.