MMHA 6700 Week 10 Bed Capacity Payback Projection Example

What Earlier Discharges Are Worth: A Bed Capacity Payback Projection in a Range, With Sensitivity

Student Name

Walden University

MMHA 6700: Healthcare Operations

Instructor Name

Month Day, Year

What Earlier Discharges Are Worth: A Bed Capacity Payback Projection in a Range, With Sensitivity

Purpose

The discharge redesign chartered in Week 9 at Linden Ford Medical Center, the fictional community hospital that anchors this course's operations work, aims to move medical discharges from 15:50 to 13:30. Leaders have asked whether the program, if spread to all medical-surgical units, would pay for itself. This projection estimates three things: the bed-hours recovered by earlier departures, the relief to emergency department boarding those hours could bring, and the program's cost. Because several estimates are uncertain, it reports a low, base and high case and shows which assumption moves the answer most. All figures are illustrative.

Recovered Bed-Hours

Medical-surgical units discharge about 23 patients a day. If the median departure moves earlier by 2 hours 20 minutes, from 15:50 to 13:30, and the change applies to the home discharges that make up about three-quarters of the total, about 17 patients a day leave earlier. That recovers roughly 40 bed-hours a day. A bed-hour recovered at 14:00 is more valuable than one at 02:00, because it arrives when the emergency department's admitted patients are waiting, as the Week 3 discussion and the Week 4 flow analysis showed.

The recovered hours do not create new beds; total patient days do not change unless length of stay falls. What changes is when beds are available. Analyses of discharge timing have found mixed effects on length of stay, with earlier discharge associated with shorter stays for medical but not surgical patients in one study (Rajkomar et al., 2016). The projection therefore treats a reduction in length of stay as an upside in the high case only.

Boarding Relief

At present, an admitted patient's median wait downstairs for an inpatient bed is 4.8 hours. If beds are clean about two hours earlier in the afternoon, many admitted patients will move upstairs sooner. The projection assumes boarding falls by 1.0 hour in the low case, 1.5 hours in the base case and 2.0 hours in the high case, applied to the roughly 23 daily admissions from the emergency department.

Boarding relief has value in three forms. First, treatment spaces freed by boarders let the department see waiting patients, reducing the share who leave without being seen. Second, ambulance diversion hours fall, so the hospital captures patients it would otherwise send elsewhere. Third, patient safety improves, because longer boarding is associated with higher mortality (Singer et al., 2011). An analysis of one emergency department estimated that reducing boarding could recover substantial lost revenue from patients who left without being seen and from ambulance diversion (Pines et al., 2011). This projection counts only the first two, which can be measured in dollars; the safety benefit is real but not monetized here.

Program Cost

Table 1

Annual Program Cost When Spread to All Medical-Surgical Units (Illustrative)

Most of the cost is people, not technology. The case manager is the largest single item.

Benefits by Case

Table 2

Annual Monetized Benefits, Low, Base and High Cases (Illustrative)

In the base case the program roughly breaks even. In the low case it costs about $97,000 a year; in the high case it returns about twice its cost.

Sensitivity

The result is most sensitive to the ambulance diversion assumption, because each captured admission carries a large margin. If diversion hours fall by half rather than by a third, the base case turns clearly positive. The second most sensitive assumption is the case manager cost: if existing case managers can absorb the huddles on some units, cost falls by up to $95,000 and every case improves. Leave-without-being-seen effects matter less, because the margin per visit is small. Length of stay matters only in the high case, and given the mixed evidence, it should not be counted on.

A further sensitivity concerns spread. If only 5 West achieves the aim and other units achieve half as much, benefits fall by about 40 percent across the board, while most costs remain.

What the Projection Means

The program is not a clear financial win on monetized benefits alone, and the projection should not be presented as one. It is close to break-even in the base case, with an upside that depends mainly on diversion. Its safety benefit, shorter boarding for admitted patients, is not counted and may be the strongest argument. Solutions to boarding are often underused partly because their benefits fall on the emergency department while their costs fall on inpatient units (Rabin et al., 2012), so leaders should weigh the program at the hospital level, not unit by unit.

The projection recommends proceeding, with two conditions: measure diversion hours and leave-without-being-seen rates monthly so the dominant assumptions can be checked, and test whether existing case managers can cover huddles on smaller units before hiring.

Limits

Every margin and rate here is a placeholder awaiting the finance office's real numbers. The model treats benefits as independent, though they interact. It ignores seasonal variation and does not monetize staff experience.

Conclusion

Earlier discharges recover about 40 bed-hours a day at the time they matter most, which could cut boarding by one to two hours. Monetized, that is roughly break-even in the base case, negative in the low case and strongly positive in the high case, with diversion as the swing factor. Presenting the range, rather than a single optimistic number, gives leaders a fair basis to decide and tells them what to measure.

References

Pines, J. M., Batt, R. J., Hilton, J. A., & Terwiesch, C. (2011). The financial consequences of lost demand and reducing boarding in hospital emergency departments. Annals of Emergency Medicine, 58(4), 331-340. https://doi.org/10.1016/j.annemergmed.2011.03.004

Rabin, E., Kocher, K., McClelland, M., Pines, J., Hwang, U., Rathlev, N., Asplin, B., Trueger, N. S., & Weber, E. (2012). Solutions to emergency department "boarding" and crowding are underused and may need to be legislated. Health Affairs, 31(8), 1757-1766. https://doi.org/10.1377/hlthaff.2011.0786

Rajkomar, A., Valencia, V., Novelero, M., Mourad, M., & Auerbach, A. (2016). The association between discharge before noon and length of stay in medical and surgical patients. Journal of Hospital Medicine, 11(12), 859-861. https://doi.org/10.1002/jhm.2529

Singer, A. J., Thode, H. C., Viccellio, P., & Pines, J. M. (2011). The association between length of emergency department boarding and mortality. Academic Emergency Medicine, 18(12), 1324-1329. https://doi.org/10.1111/j.1553-2712.2011.01236.x