AI and location intelligence: Driving operational efficiency in healthcare

In today’s hospitals, executive leaders are facing tangible, daily pain points: rising costs, persistent staffing shortages, patient dissatisfaction, and disconnected technology environments. You must balance operational efficiency with patient-centered care while improving measurable outcomes like HCAHPS scores.

The solution isn’t more siloed tools, but a unified layer of Operational Intelligence (OI).

This white paper, AI + Location Intelligence: Driving Operational Efficiency in Healthcare, from Penguin Location Services explores how integrating AI, location services, and diverse hospital data transforms operations from reactive to proactive.

What You Will Learn

Traditional tools are retrospective. This brief details how the fusion of multiple data streams—including EHRs, scheduling, nurse call, CMMS, and real-time location data (RTLS)—creates a dynamic intelligence layer that enables anticipation and real-time action.

Key takeaways on AI, location intelligence, and operational efficiency:

• Defining operational intelligence (OI) – Learn how OI is a living, real-time intelligence layer that allows administrators and clinical leaders to respond to issues proactively.
• Addressing critical healthcare challenges – Explore the five primary pain points hospitals must overcome, including rising costs, negative margins, workforce strain, and disconnected systems. For instance, 56% of nurses report emotional exhaustion and burnout.
• The power of data integration – See five concrete examples of integrated data streams—like EHR Check-ins + RTLS to flag delayed patient handoffs, or Mobile Device Data + Nurse Call to predict workload spikes—and how they deliver clear, actionable intelligence.
• Achieving measurable results – Discover how AI + RTLS-powered workflows can deliver reduced wait times, optimal staffing, and improved equipment uptime. For asset utilization alone, AI + RTLS can lead to a potential 15-20% reduction in inventory and cut clinician hunt time by up to 30%.
• Moving to agentic AI – Understand the shift beyond static dashboards to “Digital Colleagues”— AI systems that monitor, interpret, reason over multiple data feeds, and initiate real-time interventions like predicting clinician stress or pre-emptively reallocating resources for ED surge management.

The shift from isolated smart infrastructure to truly intelligent hospital operations is well underway. With the right technology and data architecture, you can move from firefighting to foresight.

Download the white paper today to learn how integrated data and AI can transform your operations and outcomes.