For many clinicians, documentation has become one of the biggest barriers to patient-centred care. Notes pile up, attention is split between the screen and the patient, and charting often spills into evenings and weekends.
At Windsor Essex Community Health Centre, this tension was felt daily. As a long-standing community health organisation serving Windsor and Essex County since 1989, their mission has always been clear: deliver accessible, inclusive, and collaborative care while supporting the clinicians who make that care possible.
But like many care teams, they were spending too much time on documentation and not enough time with patients.
Before introducing an AI scribe, providers at Windsor Essex relied on a mix of typing and traditional dictation tools to complete their notes. While familiar, these methods were time-consuming and contributed to cognitive fatigue throughout the day.
Providers described feeling pulled away from the conversation, typing while patients spoke, and carrying unfinished charting into their personal time. The result was not just administrative strain, but a growing concern about burnout and sustainability.
Windsor Essex began exploring tools that could reduce documentation burden without compromising the patient experience.
Like many clinicians, there was some initial hesitation around using AI during patient visits. Patients were curious, and in some cases unsure, about how the technology would fit into their care.
Over time, that uncertainty shifted.
By reducing the need for real-time typing, clinicians were able to maintain eye contact, listen more closely, and engage in more natural conversations. Providers noted that patients quickly became comfortable once they experienced the difference.
Initially, some patients were uncertain about AI being used in their consultations, but over time, they appreciated the increased engagement and attention. In some cases, Tali even captured details that I might have missed.
Rather than disrupting care, the technology faded into the background.
As clinicians became more comfortable using an AI scribe, the impact showed up in small but meaningful ways.
Providers reported:
Several clinicians shared that they were saving an estimated five to ten minutes per patient. Over the course of a day, that time added up.
Since using Tali, I’ve been able to save five to ten minutes per patient, which really adds up over the day. This has helped with both work efficiency and reducing after-hours work.
The result was not just faster documentation, but a lighter cognitive load between visits.
For providers managing heavy caseloads, documentation can easily become overwhelming. Prior to adopting an AI scribe, some clinicians at Windsor Essex were juggling large backlogs of outstanding tasks, including consults and prescription refills.
With documentation captured more efficiently during the visit itself, clinicians were better able to stay on top of their workload.
Before, we were dealing with a huge number of outstanding messages daily. Now, we’ve cut that down significantly,
making it much easier to keep up.
By closing encounters more consistently in real time, clinicians ended their days with less unfinished work and more mental breathing room.
For Windsor Essex, the value of an AI scribe was not about replacing clinical judgment or changing how care is delivered. It was about supporting clinicians so they could do what they do best.
Leadership at the centre emphasized that simplicity and ease of use played a big role in adoption, especially for providers who were initially hesitant about new technology.
It’s simple and easy to use, and it really reduces the documentation burden. It’s definitely helped with burnout.
Even in sensitive care settings, including mental health, patients adapted quickly once they saw that the focus remained on the conversation, not the computer.
By reducing the administrative weight of documentation, Windsor Essex Community Health Centre was able to support more present, engaged clinical encounters while helping clinicians protect their time and energy.
For organisations exploring AI in healthcare, their experience shows that when implemented thoughtfully, technology can strengthen patient connection rather than distract from it.
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