Driving Adoption and Change Management with Solutions that Clinicians Trust

November 5, 2025

By Justin Mardjuki, Sayvant CEO

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The Change Management Problem

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Every acute care leader can recite the same list of documentation challenges: SEP-1 compliance, disposition justification for CDI, social determinants of health capture, critical care capture. These are not new problems, yet year after year, they remain stubbornly resilient to resolution. Hospitals launch initiatives, hire consultants, and add layers of alerts and education. The results often look promising at first. Then performance plateaus, or worse, slips back to baseline.

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Most change management efforts fail for a predictable reason. They are designed around data and policy rather than the lived experience of the clinician. Manual coaching and spot audits can nudge short-term improvement, but they do not scale. Clinical decision support systems add alerts, but over time those alerts become noise. The clinician learns to click through them just to keep up with the pace of patient care.

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The problem is not that these issues are unimportant or unsolved. It is that they are not being solved from the right perspective. Every acute care clinician makes hundreds of decisions every month under extreme time pressure. The expectation to document perfectly, capture every relevant code, and meet every compliance metric in real time is unrealistic without meaningful support built into the workflow.

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Building Trust with Clinical AI

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Sayvant succeeds in this environment because our platform was purpose-built for acute care clinicians. We understand what it means to sign out after a twelve-hour shift, how quickly a clinician must switch context between a full-code patient and a low-severity upper respiratory infection, and how an extra two minutes with a patient explaining follow–up instructions can prevent a readmission.

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Our practical understanding drives clinician adoption. In a recent study across 50 deployed sites of care, we found that 72% of clinicians who bring Sayvant on shift continue trusting us on shift in the following month. 

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This level of sustained engagement is rare in healthcare technology. Sayvant’s long-term partnership with clinicians places us in the same category as the world’s most used consumer products such as WhatsApp (63%), TikTok (69%), and Instagram (73%) in user retention. Every time a clinician chooses to bring Sayvant on shift, it means we’ve earned their trust.

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The results have been validated independently. KLAS Research’s Emerging Spotlight on Sayvant featured dozens of interviews with our customers. 100% stated they would recommend Sayvant to their peers. Every one of them confirmed that Sayvant is part of their organization’s long-term clinical documentation and quality strategy.

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The lesson is clear. Technology alone does not change clinician behavior. Trust does. When clinicians believe that an AI solution genuinely supports their workflow, rather than adds to it, adoption follows naturally. Once adoption is in place, the downstream effects are substantial: better documentation quality, stronger compliance performance, improved charge capture, and more time for direct patient care.

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