How to Measure the True Worth of Ambient Listening
Ambient listening captures the content of patient visits, removing paperwork and overhead for clinicians and nurses; Kontakt.io’s Access Agent analyzes the numbers behind patient visits, such as length, room usage, and other key metrics.
Together, the two technologies form a clinical stack, enabling outpatient clinics to understand the complete operational picture, and to ground their decision making and planning in real-time, real-world data, rather than the aspirations of fixed schedules.
For health systems that have already invested in ambient listening, Access Agent also offers a potential path to measuring whether that investment is delivering.
Measuring The Potential of Ambient Listening
Ambient listening is one of the most popular technologies in healthcare today, and for good reason: clinicians are simply spending far too much time taking notes and filling out paperwork. A study published in the Annals of Internal Medicine found that for every hour physicians spent with patients, they also used almost two more hours on administrative work.
It’s no surprise then, that nearly two-thirds of U.S. hospitals using Epic’s EHR had also adopted ambient AI tools for clinical documentation. The appeal is straightforward: tools like DAX Copilot and Abridge record and document conversations between providers and patients, giving clinicians more time with the people in front of them, and less time at a keyboard.
This reduces administrative tasks, a key source of expenses for the US healthcare system (roughly $1 trillion annually), and an important factor behind increased clinician burnout, turnover, and late-night charting.
The business case goes beyond burnout reduction, and into operational and financial value. The same tools that reduce administrative burden also enhance the accuracy of medical records and improve the overall patient experience. This creates positive results for health systems, such as more accurate coding and billing, fewer denials, and easier authorization and reimbursement processes.
The ongoing challenge, however, is measurement. How can clinics quantify ambient listening’s gains and return on investment (ROI)?
Thus far, all indicators are anecdotal, taking the form of improved clinician satisfaction or more time regained for patient care. Hospitals still lack a way to connect these gains to the operational and financial outcomes, such as room utilization and patient throughput, that leaders are judged on.
What Access Agent Measures
Kontakt.io’s Access Agent can answer this question. Designed specifically for outpatient clinics, Access Agent uses real-time location systems (RTLS), combining staff badges and in-room infrared sensors, to track which rooms are occupied, by whom, and for how long.
Access Agent then uses this data to improve room utilization through dynamic rooming, assigning exam rooms only when a provider is ready or nearly ready, rather than parking patients in empty rooms to wait. It also informs template optimizations, including building visit lengths based on how long visits actually take. With the adoption of ambient listening, health systems may see visit lengths going down, as providers spend less time documenting during a visit.
Access Agent creates an operational picture that adapts to real-world changes, rather than being limited to scheduling data that is quickly rendered obsolete by cancelled, late, or missed appointments. This is a valuable resource to health systems, who can now understand how long appointments actually take, how often patients are late or on-time, and whether clinic operations are running efficiently.
Benchmarking Ambient Listening’s Gains
Because Access Agent tracks actual time-in-room by provider and visit type, it creates the conditions for a straightforward before-and-after analysis. Clinic leaders can compare how long appointments ran prior to ambient listening adoption against how they run after, controlling for provider, visit type, and time of day. If ambient listening is reducing in-room documentation time, that change should surface in Access Agent’s data as shorter visit durations, faster room turnover, and higher utilization across the clinic’s available hours. For health systems who apply Access Agent after ambient listening implementation, even though before and after comparisons aren’t available, the opportunity will still be surfaced.
Health systems no longer have to accept ambient listening’s ROI as a matter of clinical intuition. Ambient listening captures what happens in the room; Access Agent captures what the room does next. Together, they form a clinical intelligence stack capable of connecting care delivery improvements to the language of capacity, throughput, and revenue — which is, ultimately, what sustains them.
