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Healthcare RTLS for Fall Prevention and Patient Safety

Precision Where It Matters: How Healthcare RTLS-Enabled Workflows Support Fall Prevention and Patient Safety

Aug 28, 2026
5 minutes read

Every September, the World Health Organization asks the global health community to pause and focus on one thing: reducing avoidable harm to patients. This year’s World Patient Safety Day theme, “Safe care for noncommunicable diseases,” carries the slogan “Safe care for life!” and centers on the risks people face when they need long-term, complex care across multiple settings.

It’s a theme that quietly puts fall prevention back in the spotlight. Patients managing chronic conditions like diabetes, cardiovascular disease, or COPD are often older, more likely to be on multiple medications, and more likely to experience the dizziness, fatigue, or mobility changes that raise fall risk. A safety strategy built around long-term, complex care must include the moment-to-moment reality of keeping someone from hitting the floor.

Falls remain one of the most common and most preventable sources of harm in hospitals. They extend length of stay, drive up costs, and can permanently change a patient’s trajectory of recovery. Healthcare RTLS and real-time clinical workflow technologies can help hospitals close an important gap between fall-prevention protocols and what is actually happening at the bedside.

Most fall-prevention programs already have the right components on paper: risk assessments, hourly rounding, bed and chair alarms, non-slip footwear, clear signage. The gap is usually not knowledge; it’s execution in real time and whether those protocols are happening where and when they’re intended.

That’s where healthcare real-time location systems (RTLS) intersect with clinical workflows, patient safety, and real-time visibility in a very practical way.

How Healthcare RTLS Improves Real-Time Visibility for Nursing Rounds

Structured nursing rounds are one of the best-evidenced tools against falls. When patients are checked on consistently, they’re less likely to attempt getting up unassisted, and staff are more likely to catch early warning signs. The challenge is consistency: manual rounding logs are easy to fall behind on, and charge nurses often have no live view of which rooms have gone unchecked.

RTLS can help close that gap by turning staff presence into real-time information rather than something reconstructed after the fact. Instead of relying purely on paper logs or memory, RTLS-enabled clinical workflows systems give care teams a clearer, more current picture of where rounding has and hasn’t happened, as well as visibility that helps supervisors to direct attention to higher-risk patients before a gap in coverage turns into an incident.

RTLS and Nurse Call Automation: Faster Response, Fewer Unsafe Moments

Alarm fatigue is one of the underappreciated contributors to fall risk. When call bells and bed alarms go off constantly and response times stretch past several minutes, patients who are told to “wait for help” sometimes don’t. Every one of those moments is a fall risk.

Room-level healthcare RTLS accuracy enables nurse call systems and clinical workflow to automate parts of the workflow that previously consumed valuable response time, automatically canceling a call when a nurse arrives, logging exactly who responded and when, and giving supervisors accurate response-time data instead of self-reported estimates. Shorter, more reliable response times mean fewer patients deciding to get up on their own.

Precision Is the Whole Point

Not all healthcare RTLS and indoor positioning technologies provide the room-level location accuracy and precision required for these kinds of clinical workflows. RTLS location data that’s “probably” accurate to the room—or that jumps between adjacent rooms—isn’t good enough when the output triggers an automated clinical action.

If a system can’t reliably confirm which room a caregiver is in, it cannot be trusted to automate call cancellation, trigger a duress alert, or feed accurate rounding data. These kinds of near-misses erode staff trust in the technology altogether and create disruption.

Sonitor’s ULE (Ultrasound Low Energy) technology was built around that requirement: deterministic, sub-room accuracy that tells a nurse call or clinical workflow system with certainty who is in a room and the exact time they entered. That precision is what allows rounding, nurse call automation, and staff duress alerts to function as safety tools instead of just data collection.

Healthcare RTLS for Staff Safety and Duress

Fall prevention doesn’t happen in isolation from the rest of the unit. RTLS-enabled staff duress systems can pinpoint exactly where help is needed, helping hospitals support faster, location-aware emergency response. A caregiver who’s alone with an agitated or high-fall-risk patient needs a fast way to call for backup, and RTLS-enabled duress alerts can pinpoint exactly where help is needed, badge or phone in hand. The same real-time visibility that supports fall prevention also supports the people delivering the care.

Marking World Patient Safety Day with Action

World Patient Safety Day is a reminder, not a solution. 

Sonitor’s healthcare RTLS technology helps close the gap between fall-prevention policy and fall-prevention practice by giving care teams the real-time visibility and precise location intelligence needed to support safer clinical workflows.

This September 17th, it’s worth asking: Does your team know, in real time, which patients still need to be checked on? If the honest answer is “not exactly,” there’s a workflow gap worth closing—long before the next incident report reveals it.

About the Author

Teresa Brasac

PhD, MSN, MBA, APRN

Teresa is Chief Clinical and Informatics Officer at Sonitor Technologies and is responsible for leading Sonitor’s strategy for clinical evidence-based design, data analytics, clinical applications and implementation of enterprise level clinical solutions that leverage real-time location systems. She works closely with Sonitor’s implementation teams and R&D leadership to expand the data sets we capture to enhance the care delivered at the bedside. She has led successful technology implementation programs in large hospital systems and IDNs incorporating various connected medical device projects and house wide RTLS deployments. Teresa received her PhD degree in Nursing from Barry University. The focus of her dissertation and professional passion is learning and implementing medical device technology at the bedside. She received her undergraduate degree, Master’s degree in business administration, and Master’s degree in Nursing from Florida International University where she also received her Advance Practice Registered Nurse (APRN) degree. Her nursing background is in Oncology and Hospice. She developed the evidence-based IT implementation design model that she uses to lead smart room technology implementations. In the past 10 years, Teresa has worked with the larger U.S. health systems designing and implementing technology that leverages maximum utilization, integration and measurable outcomes using an evidence-based IT implementation methodology design.

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