The need for technological resilience in healthcare
The healthcare industry is no stranger to change. Over the years, it has witnessed remarkable advancements in medical treatments, diagnostics, and patient care. However, alongside these advancements, healthcare has also faced its fair share of challenges – from mounting costs to the need for greater operational efficiency and safety. In this era of rapid technological evolution, the healthcare sector finds itself at a crossroad, in search of ways to future-proof its operations to meet and serve the demands of the patient.
The unpredictable nature of healthcare
Healthcare is inherently unpredictable. The demands on healthcare facilities can fluctuate dramatically, as seen by the COVID-19 pandemic. To thrive and deliver in such an environment, healthcare providers must be adaptable and resilient to incoming changes. In response to these incoming changes, healthcare systems turn to technology for more information to make better decisions, but are they being presented with the best technology?
The Promise of AI-RTLS in Healthcare
Decision fatigue is a major problem in the healthcare space, it touches everyone from ground staff to the highest healthcare executive. These individuals are looking for a solution that can empower their decision-making abilities and eliminate uncertainty. Enter AI-powered Real-Time Locations. These systems represent a shift in how healthcare systems manage their resources, assets, staff, patients, and much more. AI-RTLS combines real-time tracking with predictive analytics which offers an in-depth and comprehensive solution that transcends traditional tracking and analytical systems.
The Path to Technological Resilience – Proactive Decision-making
The first step on the path to technological resilience is proactive decision-making and the ability to plan. Most technological systems will simply inform healthcare providers on what comes next, but AI-enabled RTLS systems equip healthcare professionals with real time data and insights. All this is achieved through curated predictive algorithms that give healthcare professionals the most relevant, proactive information needed to make the most informed decisions. When your healthcare professionals can see the road ahead, they can move swiftly with little to no uncertainty.
Patient-centric care
In the ever-evolving landscape of healthcare, patient-centric care has emerged as a cornerstone of excellence. AI-RTLS excels in facilitating a patient-centric healthcare model by capturing and monitoring every fine detail. By tracking patient movement and monitoring patient metrics, AI-RTLS can create an environment of seamless care coordination that puts the patient at the center.
Operational efficiency and cost control
In recent days, health systems have become more wary of costs and how they impact the overall organization’s operational efficiency. On the other hand, AI-RTLS is a valuable tool for enhancing operational efficiency and controlling costs. Health systems can optimize staffing levels based on real-time patient admission and discharge data. With real-time data, health systems can move assets and operations accordingly without wasting resources.
Healthcare providers grapple with the challenge of providing top-tier patient care while also managing a tight budget. AI-enabled RTLS can offer cost-effective solutions without diluting quality or efficiency. By constantly monitoring patient movement, bed occupancy rates, equipment quality and locations with the help of AI-RTLS healthcare facilities can ensure they deploy the right resources exactly where and when it is needed. This optimized resource management significantly reduces wastage which leads to higher cost savings.
Data-driven excellence
Technological resilience is achieved when the right technology systems provide actionable intelligence and AI-RTLS aims to provide that. This data-driven approach means that healthcare professionals can make informed decisions at a moment’s notice without sacrificing cost or quality. Healthcare professionals should understand the changes in the healthcare landscape and realize the potential of AI-RTLS and how it can add value and act as a one-stop solution for any healthcare need.