The following is a guest article by Dr. Shannon Housh, EdD, MBA, MHA, LCC, at CenTrak
Real-time visibility isn’t just about knowing where things are; it’s about understanding the context around what’s happening and why it matters to the people involved. These data insights are equally beneficial and crucial for healthcare professionals and their patients. As healthcare continues to evolve, so do expectations around communication, transparency, safety, and efficiency.
With the integration of Artificial Intelligence (AI) into Real-Time Location Systems (RTLS) and other smart sensing platforms, health systems now have the tools to not only track and respond—but to anticipate, inform, and reassure. From equipment insights to security workflows, AI is enabling hospitals to create more connected, transparent, and healing environments. Paired with human knowledge, advanced AI and RTLS technologies are reshaping the future of security and safety in healthcare, helping organizations deliver a truly human-centered experience.
Five Ways AI Complements RTLS to Revolutionize Hospital Security and Safety
Security and safety in healthcare are more than just operational requirements; both are fundamental to the patient and staff experience and the way people perceive their care journey. A well-orchestrated environment builds confidence and ensures a calm, healing space to recover. A chaotic or disorganized space erodes it. When patients feel unsafe regarding people entering their room or unsure of what’s happening around them, trust suffers—and so does the quality of care and, ultimately, their overall outcome. The best outcomes do not stem from stressful environments. In response, healthcare systems are finding new ways to elevate the care experience through the power of AI.
One of the most promising advancements lies in the integration of Artificial Intelligence (AI) with Real-Time Location Systems (RTLS) and other smart platforms. These technologies bring order to complexity, allowing staff to work more efficiently and patients to feel safer.
AI doesn’t just monitor. AI supports RTLS in learning, anticipating, and optimizing. When this pairing is applied to hospital security and clinical workflows, it can transform the patient and staff experience in five meaningful ways:
Smarter Real-Time Monitoring
AI-powered RTLS platforms further support the ability to monitor the location and movement of staff, equipment, and patients in real time. Emerging AI-powered RTLS platforms provide significant growth from the traditional RTLS options as the advanced platforms learn from movement patterns and actionable data to identify potential issues before they escalate. By analyzing large amounts of real-time data, AI has the potential to flag any activity that is unauthorized or unusual, alert staff to developing safety risks based on those predictive analytics, and identify workflow inefficiencies that could impact patient care and staff safety while factoring in situational awareness.
This proactive approach enables hospitals to maintain safer environments by constantly monitoring multiple systems and simultaneously reducing the nonclinical tasks falling to clinical staff. The technology transforms raw location data into actionable insights, helping security teams proactively flag and prevent unique occurrences that may need diffusing and address the urgent situations even faster, reducing alarm fatigue and ensuring critical alerts get immediate attention.
Visibility and Transparency Build Trust
One of the most impactful applications of AI-integrated technology is improving patient communication through real-time visibility. By connecting location data to patient-facing displays, health systems can show patients exactly who is entering their room. Ensuring patients know who is entering their room and why develops trust in the overall process, which is invaluable. When implemented effectively, these systems share staff member details, including first name, role, and photo, along with the purpose of the visit. These infotainment systems can also provide entertainment options and personalized information about the patient’s care journey.
This level of transparency is particularly valuable for more vulnerable populations, including pediatric, elderly, and non-verbal patients who may struggle to communicate their needs or concerns. Knowing exactly who is caring for them and why each interaction is taking place transforms their experience from uncertainty to informed participation. The result is greater trust, comfort, and engagement, which in turn support better outcomes as patients take a more active role and have the peace of mind to solely focus on their recovery.
Predictive Safety Interventions
AI can analyze behavior in real time to predict and prevent incidents before they happen. By analyzing real-time behavior patterns, these platforms can identify potential safety risks and trigger appropriate interventions. In fall prevention scenarios, the system can detect when at-risk patients begin to get out of bed unassisted and immediately alert nursing staff. AI-powered risk scoring goes beyond traditional fall-risk assessments. AI can pull patient data (medication, lab values, mobility history, cognitive status, etc) from electronic health records (EHR) to give real-time dynamic fall risk scores. Risk scores can then be automatically updated as new data is entered into a patient’s EHR. Based on the risk data, AI can also suggest tailored interventions such as bed alarms, electronic sitter support, physical therapy consults, and medication adjustments. Standard fall prevention methods (bedside safety checks, mobility aids, call light access) are not replaced by these advancements from AI, but each of the appropriate methods is paired to make prevention more proactive.
For elopement prevention, the technology monitors patient movement patterns and triggers alerts when someone unexpectedly leaves their assigned area. RTLS paired with AI learns typical activity patterns for each hospital area and time of day, enabling the platform to recognize when something is truly out of the ordinary and take action accordingly.
Streamlined Emergency Response
In emergencies, every second counts. AI prioritizes alerts based on urgency and context, reducing alarm fatigue and helping teams respond faster. Traditional alarm systems often result in alarm fatigue. AI addresses this challenge by providing context-aware alerts that differentiate between routine updates and true emergencies. If a staff duress situation occurs, the system instantly pinpoints the exact location where a staff badge panic button is pressed and provides a unique alert to nearby team members and security personnel. If critical equipment malfunctions, it automatically dispatches maintenance teams. In clinical emergencies, alerts are prioritized based on patient context and available staff resources.
This smart alert management reduces response times and minimizes unnecessary interruptions. By understanding the context and urgency of each situation, AI ensures that the right people receive the right information at the right time, improving overall response effectiveness without overwhelming busy clinical teams.
Purposeful and Calming Environments
AI supports an environment that feels calm, purposeful, and professional by coordinating staff workflows and supporting timely room turnover after discharge. Leveraging tools that work in the background, such as AI-powered RTLS, patients are typically unaware of the technology, but they feel the results. The patient experience benefits through reduced wait times, improved coordinated care delivery, smoother transitions between different aspects of the care journey, and clear evidence that staff members are competent, caring, and efficient.
Technology with a Human Purpose
AI in healthcare is not about replacing human interaction. It’s about enhancing it. By taking on the burden of monitoring, optimizing, and orchestrating the background systems of care, AI allows human caregivers to focus on what matters most: being present, compassionate, and trustworthy. It allows patients to focus on their recovery.
As healthcare continues to evolve, technologies like AI and RTLS will become even more essential. Not just for efficiency or compliance, but for delivering the kind of care patients remember and trust. By combining real-time visibility with human care and advanced AI capabilities, we help healthcare leaders build environments where patients feel seen, staff feel supported, and operational excellence becomes the norm.
About Shannon Housh
Shannon Housh is the Director of Consulting Services at CenTrak, which offers locating, sensing, and security solutions for the healthcare industry. CenTrak has helped more than 2,000 healthcare organizations around the world build a safer, more efficient enterprise. For more information, visit centrak.com
