We know how to test new software in a hospital or clinic. We run a pilot, check for bugs, and measure its basic functions. But what happens when the new 'software' is an AI agent expected to perform a complex job, not just a simple task?
A compelling argument suggests we need to shift our thinking. Instead of a 'pilot,' these AI systems need a 'probation period,' much like a new human employee. As highlighted in a recent commentary, healthcare leaders are adept at testing software, but we lack a shared playbook for onboarding an AI designed to handle a workflow from end to end.
Think of the difference. A pilot asks, "Does the tool work?" A probation period asks, "Can this AI effectively do the job in a real-world setting?" This means evaluating its performance over time, its integration with human teams, and its ability to handle the unpredictable nature of patient care.
At Medicup, this perspective is central to how we develop and integrate our own AI-powered tools. For telehealth providers and their patients, trust is paramount. It’s not enough for an AI tool to simply transcribe a virtual visit or suggest a possible entry for an electronic medical record. It must do so accurately, reliably, and in a way that genuinely reduces a clinician's administrative burden without adding new corrective tasks.
Treating AI implementation as a probation period ensures that these powerful new 'colleagues' are vetted not just for technical function, but for their real-world value and safety. It’s a critical step in responsibly building the future of digital health, ensuring that technology serves clinicians and patients, not the other way around.
Source: [MedCity News](https://medcitynews.com/2026/09/ai-workers-need-a-probation-period-not-just-a-pilot/)