How do you envision AI changing the day-to-day reality for healthcare providers and the broader care delivery system?
AI, when providing actionable intelligence to enhance human expertise rather than replace it, has the potential to empower our clinicians and the entire healthcare industry. It is also poised to transform the daily experience of frontline healthcare workers by addressing one of the industry’s most pressing issues: cognitive overload. Clinicians are constantly making decisions—many of which are routine but mentally taxing. By automating many of non-clinical responsibilities, AI can free up cognitive capacity, allowing providers to stay focused on what matters most: delivering high-quality care.
Cognitive overload isn’t just a workload issue but is a key factor that directly impacts clinician performance and patient care and outcomes. Every time we think about supporting caregivers, we should focus on reducing the number of decisions they need to make. AI enables us to streamline complexity, removing friction from daily routines and reducing burnout.
When we lessen that burden, not only do we improve efficiency and the caregiver experience, but we also protect the patient experience. AI can make a real difference by handling the operational decisions so caregivers can stay present at the bedside.
Repetitive administrative tasks continue to drain valuable clinical resources. Where do you see AI having the greatest potential to drive efficiency and relieve this operational burden?
As a nurse, I know firsthand how much cognitive overload clinicians carry every day—juggling direct patient care alongside a flood of administrative, logistical, and operational tasks. There isn’t one single task AI can eliminate to magically fix everything, but it can steadily reduce the burden.
Most importantly, AI can help ensure clinicians are working at the top of their license and focusing on the most intellectually demanding, high-impact tasks rather than being bogged down by non-value-add activities. For example, a clinician might need to administer medication, ensure accuracy, and simultaneously handle tasks like booking transport or completing paperwork. These are critical, but they’re not always the best use of their expertise. By shifting some of these responsibilities to intelligent systems, we allow clinicians to focus on the patient.
What key factors determine whether a hospital is truly ready to adopt and integrate AI effectively?
A hospital’s readiness for AI isn’t just about having the right technology; rather, it’s about making adoption as easy as possible for the people using it. It’s about people, process and technology—a three-legged stool, if you will.
Part of the process is on us, the technology provider, to ensure that clinicians clearly see how AI benefits their work and their patients. At TeleTracking, we take a multidisciplinary approach to implementation and ongoing account management so that we can be a part of that process, ensuring AI is implemented in a way that supports staff, sustains long-term process improvements, and drives real outcomes. And if something isn’t working? We adjust, refine, and continuously improve. That’s how AI moves from being just another tool to something that truly transforms patient care.
What stands out to you about TeleTracking’s approach to AI, and how do you see it driving operational impact for clients?
What excites me most about TeleTracking’s approach to AI is that we are designing AI-driven solutions with frontline care teams in mind—not just as an administrative tool but a critical enabler of better patient care and improved hospital operations. Our goal was to truly learn and evolve with our clients, rather than add to the noise of the AI healthcare boom. In doing so, we were able to integrate meaningful, actionable insights into our platform, ultimately helping to reduce the manual burden placed on clinicians.
In the healthcare industry, there is the need to deliver quality care while managing the business side of operations. That duality often leads to decision fatigue, especially toward the end of a clinician’s shift. Our goal is to make it better for providers, not just by offloading tasks, but by reducing the mental toll of constant decision making.
At the same time, we know that while tech is often introduced to help, it can unintentionally add to the workload, especially if it pulls clinicians away from the bedside. We’re committed to designing solutions that don’t just shift the burden but truly share it by removing tasks that shouldn’t require clinical expertise and ensuring that technology strengthens, rather than hinders, the patient-caregiver relationship.
Don’t miss the panel discussion, Best AI Use Cases for Operational Efficiency, at Becker’s Annual Meeting, featuring Michelle Skinner, Chief Clinical Executive at TeleTracking.
Join the session on Tuesday, April 29th, from 10:30–11:10 AM at the Hyatt Regency in Chicago, IL to explore how AI is reshaping health system operations. Click here to register.