Today, it seems like artificial intelligence (AI) is everywhere. In healthcare, AI tools promise to improve speed and accuracy in patient care, as well as increase administrative efficiency behind the scenes. Some research says that AI in healthcare will be a $188 billion industry by 2030.
Despite the excitement surrounding AI, research shows that only 5.4% of businesses were utilizing AI by February 2024. This low adoption suggests that AI’s usefulness may not be as widespread as news headlines suggest. Ultimately, before jumping headfirst into AI tools, healthcare organizations should carefully evaluate the technology to determine if it will be truly useful — or if it’s just marketing hype.
To separate the two, you must first understand how AI contributes to a particular technology. Below, we explore the role that AI plays in real-time location systems (RTLS), so healthcare organizations can better determine if an AI-backed system will benefit their staff and patients.
AI for RTLS data analytics and reporting
Artificial intelligence plays a crucial role in RTLS by enabling data analysis and reporting. Once the data is collected, AI systems analyze large datasets to generate meaningful insights.
However, the effectiveness of these insights is directly tied to the quality of the location data. Reliable and precise data is vital, but this poses a challenge for many RTLS solutions. If the RTLS system fails to consistently deliver accurate room-level data, the value of the insights it provides is significantly reduced.
AI for RTLS location intelligence
AI used as the location intelligence of RTLS — as opposed to more traditional technology like infrared or ultrasound — has the potential to produce more accurate data without extensive hardware, installation, and maintenance expenses.
Amid the growing popularity of AI, healthcare leaders must carefully evaluate each potential solution: Will they deliver true value to the organization? In our new white paper, “Navigating AI in RTLS: Separating True Value from Marketing Hype,” we dive into AI in RTLS, so hospital leaders can more accurately assess the value it delivers.
The paper explores:
- How alternative technology compares to AI-backed RTLS
- Ways AI can maximize the value of RTLS
- An introduction into how AI location intelligence works
- And more!
Download the white paper now.
