Improve Bed Availability and Reduce Unnecessary Days: Patient Flow and Room Turnover
Takeaways:
- Length of stay (LOS) issues are the outcome of multiple, unrelated clinical and operational variables, which together impact a patient’s care progression and discharge readiness.
- Rapid Room Turnover eliminates idle bed time that frequently occurs after patients are discharged and before documentation has caught up. Patient Flow Agent addresses care progression delays that occur between admission and discharge.
- Rapid Room Turnover can help address ED boarding and LWBS rates (capacity management), while Patient Flow Agent reduces clinically unnecessary days (LOS).
When a COO or CFO reviews quarterly dashboards, they are often watching several patient flow metrics. Many hospitals are experiencing an increase in clinically unnecessary days, driving up length of stay (LOS) from 4.2 days in 2022 to 5.5 days; and a noticeable rise in ED boarding and left without being seen (LWBS) rates.
Most dashboards will group these metrics together because they fall within the patient flow domain. That said, there are different solutions required to improve performance on each. Expediting discharge efficiency can reduce ED boarding and LWBS rates associated with crowded EDs; these are capacity management challenges. On the other hand, any LOS or excess days reduction requires finding efficiency opportunities earlier in the patient journey, before discharge, where care progression stalls.
For the former, a doctor signs a discharge order at 10 AM, and the patient leaves the hospital at 12 PM. Then, the hospital’s EHR does not register the discharge until a nurse finishes discharge documentation at 2 PM, after caring for other sick patients. Even when the discharge is documented, the bed is still not available until environmental services (EVS) finishes cleaning the room. In many hospitals, the time between when one patient leaves and another occupies the bed can be several hours. This is idle bed time that hospitals want to minimize, in favor of placing patients from EDs and PACUs sooner.
For the latter, the more efficiently that patients can be seen and move through their patient journey, the lower the chance that they’ll spend additional, unnecessary days in the hospital. Care progression delays may result from scheduling availability for surgeries, procedures, and ancillary services (e.g., radiology). It can also result from post-acute care placement and authorization, consult timeliness, and a variety of other operational bottlenecks. In most hospitals, departments that play a role in care progression lack the clinical context for the patient and the broader patient census to prioritize optimally.
Rapid Room Turnover vs. Patient Flow Agent
In order to get admitted patients in beds faster and to ensure care progression delays are avoided, hospitals need to take a multi-faceted approach; this is why Kontakt.io created Rapid Room Turnover and Patient Flow Agent.
Both tools have one thing in common: they are built on a foundation of real-time location system (RTLS) data, including patient tags, staff badges, and in-room sensors. This continuous stream of information provides comprehensive visibility into hospital operations, vital for real time interventions.
How Rapid Room Turnover works
Rapid Room Turnover executes a targeted, specific intervention sequence that reduces the prevalence of patients waiting in EDs and PACUs longer than they need to be there.
Today, most hospitals manage discharges manually: nurses complete discharge documentation, patient placement coordinators make calls, and EVS/Transport waits for dispatch orders. This process is slow, sequential, and dependent on manual tasks at each step.
Rapid Room Turnover removes discharge documentation as a dependency. It uses RTLS data to detect when a patient with a discharge order physically leaves the facility, and triggers transport and EVS workflows to happen in parallel rather than in sequence. Instead of waiting on a bedside nurse to have time to complete discharge documentation, EVS gets the clean request the moment the patient departs. Next, transport gets their request to bring a patient upstairs from the ED when the room clean is nearly done. Between these two automations, hospitals save an average of 90 minutes per discharge. That reduces idle bed time, ED boarding time, and LWBS rates.
How Patient Flow Agent addresses the big picture
Rather than focusing only on the moment of discharge, Patient Flow Agent identifies care progression delays that occur earlier in the patient’s stay.
A 2025 study of the Veterans Health Administration examined the causes behind length of stay increases, and found that only 16% of this growth stemmed from the sort of avoidable, discharge-related delays that Rapid Room Turnover addresses. The authors hypothesized that the increases may instead “reflect longer periods of acute care delivery…Improving acute care processes may more effectively reduce hospital capacity strain.”
That’s where Patient Flow Agent fits into the equation. Rather than intervening in clinical care, Patient Flow Agent identifies and removes the obstacles to care. This could take the form of Patient Flow Agent helping prioritize patients for scheduling, provider rounding, and prompting early coordination to avoid weekend stalls, among others.
How Patient Flow Agent uses data
Patient Flow Agent accomplishes this by painting a holistic view of the hospital, ingesting real-time location signals alongside EHR data, including ADT, orders, and more, across a patient’s entire stay. In essence, it analyzes care progression to find delays.
At most hospitals today, these delays are invisible because they occur in isolation of the bigger picture and are difficult to quantify cumulatively. In order to diagnose delays in care, some hospitals task experts with doing time consuming chart reviews, building out process maps, and convening committees to evaluate findings. At scale, this is unsustainable. Capacity management has many local inputs, and mapping out the care journey of every patient at a 200 bed hospital would take an army of coordinators, reams of data, and far too much time, expense, and effort.
Enter Patient Flow Agent. By combining EHR data with RTLS signals, showing staff/patient interactions, patterns in asset utilization by patient, new orders and test results as they come in, Patient Flow Agent continuously evaluates a digital twin of each hospital to identify care progression opportunities in real time. Using a variety of EHR integrations and escalation pathways, it can intervene in these delays. Rather than focusing all effort on studying the sources of excess days, hospitals can actually act on them.
Where the two systems meet
Rapid Room Turnover and Patient Flow Agent are complementary, not competing tools — but they aren’t interchangeable starting points. Rapid Room Turnover addresses the immediate, visible pain of ED boarding and LWBS rates, with a clear, quantifiable ROI (90 minutes saved per discharge). This makes it the natural entry point for hospitals investing in RTLS-driven patient flow.
Patient Flow Agent builds on that foundation. Once discharge-day mechanics are solved, the remaining excess days (the 16% study finding notwithstanding) come from care progression delays earlier in the stay. Patient Flow Agent is how hospitals go after that harder, less visible problem, using the same RTLS infrastructure and EHR integrations already in place from Rapid Room Turnover.
Together, they represent a sequenced path: Rapid Room Turnover proves the value of real-time operational data and delivers fast, tangible wins; Patient Flow Agent extends that same data foundation to address the larger, more complex driver of hospital capacity strain.
