Total number of nights each bed was occupied during the month.
31 Days (Jan, Mar, May, Jul, Aug, Oct, Dec)
30 Days (Apr, Jun, Sep, Nov)
28 Days (February)
29 Days (Leap Year February)
Your Bed Occupancy Rate is:
0%
function calculateBOR() {
var totalBeds = parseFloat(document.getElementById('totalBeds').value);
var occupiedDays = parseFloat(document.getElementById('occupiedDays').value);
var monthDays = parseFloat(document.getElementById('monthDays').value);
var resultBox = document.getElementById('bor-result-box');
var borPercentage = document.getElementById('bor-percentage');
var borStatus = document.getElementById('bor-status');
var borExplanation = document.getElementById('bor-explanation');
if (!totalBeds || !occupiedDays || totalBeds <= 0 || occupiedDays totalPotentialNights) {
alert("Occupied bed nights cannot exceed the total potential nights available (" + totalPotentialNights + "). Please check your numbers.");
return;
}
var rate = (occupiedDays / totalPotentialNights) * 100;
var finalRate = rate.toFixed(2);
resultBox.style.display = "block";
borPercentage.innerHTML = finalRate + "%";
if (rate >= 85) {
resultBox.style.backgroundColor = "#fee2e2";
borStatus.innerHTML = "High Occupancy / Potential Overcrowding";
borStatus.style.color = "#b91c1c";
borExplanation.innerHTML = "A rate above 85% typically suggests the facility is operating near full capacity, which may lead to delays in admissions or increased staff stress.";
} else if (rate >= 70) {
resultBox.style.backgroundColor = "#dcfce7";
borStatus.innerHTML = "Optimal Occupancy Level";
borStatus.style.color = "#15803d";
borExplanation.innerHTML = "An occupancy rate between 70% and 85% is often considered ideal for balancing efficiency with the ability to handle new admissions.";
} else {
resultBox.style.backgroundColor = "#fef3c7";
borStatus.innerHTML = "Low Occupancy / Underutilization";
borStatus.style.color = "#b45309";
borExplanation.innerHTML = "A rate below 70% suggests that resources are being underutilized, which could impact revenue and operational cost-efficiency.";
}
}
Understanding the Bed Occupancy Rate (BOR) Formula
The Bed Occupancy Rate (BOR) is a critical Key Performance Indicator (KPI) used primarily in healthcare management and the hospitality industry. It measures the percentage of available beds that are occupied over a specific period, usually a month.
The Monthly BOR Formula
BOR = (Total Occupied Bed Days / (Total Available Beds × Number of Days in Month)) × 100
Example Calculation
Let's say you manage a clinic with 20 beds for the month of April (30 days):
Total Beds: 20
Days in Month: 30
Total Potential Nights: 20 × 30 = 600
Total Occupied Bed Nights: 480 (sum of patients present each night)
Calculation: (480 ÷ 600) × 100 = 80%
Why Bed Occupancy Rate Matters
Factor
Impact
Staffing
High BOR requires more personnel to maintain safety standards.
Revenue
Low BOR may indicate a need for marketing or service expansion.
Patient Care
Over 85% occupancy often correlates with higher infection risks and delays.
Key Definitions
Total Available Beds: The number of beds staffed and ready for use, excluding those out of service for maintenance.
Occupied Bed Day: One bed occupied for one night. For example, one patient staying 5 nights equals 5 occupied bed days.
Efficiency Frontier: Generally considered between 80-85% for acute care hospitals to allow for emergency surges.