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August 1, 2024 | 6 minute

The ROI on Discharge Automation: What Hospitals Can Save by Using Location Data in Patient Flow

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Whether you’re the CEO, CIO, or CNO… you know how critical it is to consider the ROI on any new technology solution. What are the upfront costs and expenses of implementation? How will this new solution impact our business operations?

At Kontakt.io, we work every day to help healthcare systems improve their workflows and find efficiencies in their clinical operations. And we pride ourselves on the ROI we can deliver for our customers by leveraging easy, fast, and scalable tech solutions that integrate IoT, RTLS, and AI with existing infrastructure.

In this article, let’s explore the ROI of automated discharge. What are the hard costs and savings opportunities with a patient flow solution that could automate manual discharge tasks and reduce bed turnover rate?

What exactly is “Automated Discharge” and how does it work?

Patient discharge and bed turnover is one of the biggest time thieves in healthcare. On average, it takes 4.4 hours (Mercy Health, 2018) of turn-around time to reset a patient bed, but only 43 minutes of that time is actual cleaning and resetting. These inpatient rooms sit idle, unused, waiting for turnover because staff are busy or unaware or waiting for specific equipment. This wasted time creates delays in admitting new patients and negatively impacts patient flow and overall patient satisfaction across the entire enterprise.

But there is a solution that can help hospitals reclaim that lost time and better serve their patients: Discharge automation. This is the automated creation of a discharge event within EPIC once the patient is actually leaving and not when the nurse is entering the information. And this automation and reduction of workflow can greatly reduce turnover time and dramatically increase efficiency throughout the health system.
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What costs can hospitals expect to save using patient location (RTLS) data to automate discharge workflows?

Streamlining the discharge process, reducing length of stay (LOS), and improving bed turnover rates (BTR) can deliver substantial savings. Let’s take a look at both LOS and BTR among other areas of patient flow that can benefit from RTLS workflow automation.

Reduced LOS:

A reduction of 0.25 to 0.5 days in length of stay can lead to significant savings. For example, if the average cost per inpatient day is $2,000, reducing the length of stay by an average of 0.5 days for 1,000 patients can save $1 million per year.

Improved BTR:

By increasing bed utilization rates, hospitals can not only treat more patients but also avoid and defer the costs of building new bed capacity or expanding facilities. This can deliver savings of $3,000 to $5,000 per bed, annually. With 5 additional patient days, that savings rises to $10,000 per year.

Enhanced operational efficiency:

Automating discharge tasks reduces the administrative burden on staff, allowing them to focus on patient care. This reduction or elimination of discharge tasks can save on labor costs with annual savings of $1,000 to $2,000 per bed.

Reduction in Readmission Rates:

With effective discharge automation, hospitals can better communicate and follow up with patients, which can impact the likelihood of readmissions. Reducing readmission rates by even a small percentage can lead to significant cost savings. For example, a 1% reduction in readmissions for a hospital with 10,000 annual discharges can save approximately $500,000 to $1 million annually. 
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TOTAL ESTIMATED SAVINGS

discharge automation

Looking at these four categories around discharge automation, the total estimated savings per bed can range from approximately $5,500 to $10,000 annually. For a 200-bed hospital, an effective RTLS-powered discharge automation process could deliver $2M in savings each year.

So if a hospital can save just 30 minutes in room turnover time due to discharge automations – How many additional patient days per bed can an average US hospital get per year?

Implementing an RTLS inpatient flow solution for discharge automation can have a significant impact on hospital efficiency and patient throughput. Yes, even just 30 minutes in a reduction of room turnover time can increase capacity and revenue.

Let’s take a look at some numbers here, using “Hospital ABC” as an example.

Hospital ABC

  • Beds: 200
  • Occupancy rate: 65-70%
  • Average LOS: 4.5 days
  • Current room turnover time: 90-120 minutes

At 200 beds with 70% occupancy, Hospital ABC serves a total of 51,000 patient days per year. 

With an average LOS of 4.5 days, that gives us a total of 81 turnovers per bed in a year, which across 200 beds equals 16,200 turnovers each year.

Saving 30 minutes per turnover at 16,200 turnovers equals 8,100 hours or 337.5 additional patient days. Across Hospital ABC’s 200 beds, that comes to 1.69 additional days per bed per year.

Hospital ABC with discharge automation

  • Room turnover time reduction: 30 minutes
  • Impact on hospital days per bed per year: 1.69 additional days
  • Total increase of patient days: 337.5 additional days

By reducing room turnover time by just 30 minutes, an average US hospital can achieve significant business impact and dramatically increase the amount of care they can provide without investing in additional beds or expanding facilities. This increase of approximately 337.5 additional patient days per year can deliver increased revenue, improved utilization, and higher  quality patient care. Let’s take a look at what the increased revenue can be.

Let’s assume this discharge automation solution investment is $350 per bed per year to unlock those 337.5 additional patient days.

How does that translate to revenue?

Let’s calculate the additional revenue and ROI using these assumptions at Hospital ABC with 200 beds.
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ROI summary

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This means that for every dollar spent on discharge automation using patient location (RTLS) data, the hospital gains approximately 8.64 times that amount in additional revenue.

Implementing integrated technology to improve operations and save you money is what we do at Kontakt.io. Using IoT, RTLS, and AI to automate workflows, patient flow, and more, we can deliver tech solutions that have a significant impact not only on your day-to-day activities and patient care but also on your bottom line. The ROI is clear in our example here with Hospital ABC.

If you’d like to see what ROI your facility could expect, take a look at our easy-to-use ROI calculator. Or schedule a call with a Kontakt.io expert to chat one-on-one. We’d love to hear from you. Here’s to the future of healthcare.


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Discharge management automation uses real-time data and workflow orchestration to automatically trigger patient discharge events. Instead of waiting for manual documentation, systems powered by Real-Time Location Services (RTLS) detect when a patient physically leaves a room and automatically notify relevant teams. This information updates electronic health records and activates Environmental Services (EVS) cleaning or bed prep tasks. The result is faster turnover, reduced idle time, and improved patient flow. By integrating RTLS, IoT, and AI, discharge automation eliminates manual handoffs and delays—transforming discharge from a bottleneck into an intelligent, self-running process that increases bed availability and hospital throughput.

Hospital discharge is often a slow, manual process that depends on multiple teams communicating in sequence. Nurses, EVS staff, and admitting departments must wait for each other to confirm patient status before a bed can be prepared for the next admission. As a result, valuable beds can remain empty for hours, delaying admissions and increasing Emergency Department crowding. A single delay in discharge documentation can cascade across the entire hospital, impacting patient satisfaction and revenue. Automating this process eliminates lag between patient exit and workflow initiation, turning what was once an administrative burden into a streamlined, data-driven operation.

Automating discharge directly improves patient flow by reducing idle room time and accelerating bed readiness. When RTLS data detects that a patient has exited the facility, automation immediately alerts Environmental Services (EVS) to begin cleaning and preparation. This reduces the delay between discharge and room availability—freeing beds faster for new admissions. Improved patient flow reduces Emergency Department boarding, shortens wait times, and enhances the overall care experience. Automation also provides analytics on throughput performance, helping hospitals identify bottlenecks and continuously optimize operations. The outcome: faster care transitions, increased bed capacity, and measurable operational ROI.

Discharge automation delivers a clear, quantifiable return on investment. Hospitals can save between $5,500 and $10,000 per bed annually, primarily through reduced labor, lower length of stay (LOS), and higher bed utilization. Automating workflows can shorten room turnover times by up to 30 minutes—creating additional patient days without adding physical beds. This increased capacity can translate into millions in annual revenue. For example, a 200-bed hospital can save over $2 million per year while improving patient flow and satisfaction. Beyond financial gains, automation reduces staff burnout, enhances productivity, and enables a higher quality of patient care.

RTLS collects live location data from patients, staff, and equipment to automate workflow triggers. When a patient leaves their assigned room or exits the facility, RTLS sensors communicate this event to the hospital’s cloud platform. The system then automatically initiates tasks like EVS cleaning, bed preparation, or patient transfer notifications—without requiring nurse input. This automation ensures no bed sits idle due to communication gaps. RTLS also provides analytics on discharge timing, turnover efficiency, and staff utilization. With BLE-based precision, hospitals gain real-time visibility into operations, making it possible to accelerate patient flow and achieve measurable ROI from automation.

Automating discharge helps reduce LOS by eliminating unnecessary waiting periods during patient transitions. Instead of relying on manual updates or staff availability, discharge automation uses real-time data to signal when rooms are ready for cleaning, transfer, or new admissions. Faster turnover allows hospitals to admit patients sooner, avoiding extended stays caused by operational delays. Reducing LOS by even 0.25 to 0.5 days per patient can save hundreds of thousands annually, depending on hospital size. Shorter stays free up capacity, improve clinical throughput, and enhance patient satisfaction—all while preserving the quality of care delivery.

Discharge automation accelerates bed turnover by automatically initiating the cleaning and preparation process the moment a patient leaves. This reduces average turnover time from over an hour to as little as 30–45 minutes. For a 200-bed hospital, this improvement translates into 337 additional patient days per year without adding beds or staff. Faster bed readiness increases patient throughput and alleviates Emergency Department boarding. Over time, improved turnover directly impacts hospital revenue, utilization rates, and staff productivity. Automating discharge workflows creates a scalable foundation for continuous efficiency gains across all inpatient operations.

An automated discharge workflow typically includes five key components:

  • Patient Departure Detection: RTLS sensors or BLE tags identify when a patient leaves the room.
    Automated Task Triggers: The system alerts EVS and nursing teams to begin discharge-related tasks.
    Workflow Orchestration: AI prioritizes and sequences tasks dynamically based on hospital capacity.
    Progress Tracking: Real-time dashboards show room status and team activity.
    Analytics and Reporting: Data collected supports continuous process improvement and ROI validation.

Kontakt.io’s discharge automation solution uses Bluetooth® Low Energy (BLE) RTLS technology to detect when patients physically leave their rooms. This data automatically triggers discharge workflows—alerting EVS teams, updating system dashboards, and signaling readiness for new admissions. The platform integrates seamlessly with hospital IT infrastructure, including EHR and IoT systems, ensuring accurate, real-time communication across departments. With cloud analytics, administrators can monitor performance, calculate ROI, and continuously refine processes. Hospitals using Kontakt.io report faster turnover, shorter LOS, and millions in annual savings. The result is a more efficient, data-driven discharge process that enhances patient flow and overall hospital performance.