"Patients need to feel like they have a friend in the system, while we orchestrate all the complex components in the background."
Earlier this year, our CEO Salman Ali joined Becker's Hospital Review to discuss what we've learnt about the application of AI in transitions of care—and why now is different.
The episode, recorded live at Becker's 15th Annual Meeting, tackles the hard truths about implementing AI in healthcare:
The Problem
$53B in avoidable readmissions annually. Nearly 1 in 5 Medicare patients back in the hospital within 30 days. Everyone "does transitions," but diffused responsibility means patients fall through the cracks.
Why Most AI Solutions Fail
The last thing health systems need is another tool that requires staff to change their workflows. If it needs adoption to succeed, it's already dead. Healthcare workers are burned out—they don't have bandwidth for "one more system."
What Actually Works
AI that runs in the background. Minimal change management. Effectively invisible. Our success isn't contingent on adoption—we integrate directly with existing EHR systems and work within the architecture already in place.
The Results
50%+ improvement over benchmark engagement rates
60%+ improvement in follow-up booking rates over benchmarks
95% patient CSAT
Up and running in <30 days with zero additional headcount
Salman also addressed the questions every health system executive is asking: How do you ensure quality and data governance? What about model obsolescence? How do you handle technical integration challenges?
His advice: Partner with vendors who take a heavy-handed approach to oversight and governance, who iterate thoughtfully with clinical partners, and who complement your existing investments rather than disrupting them.
For years, frontline workers have held the system together through sheer force of will. AI can finally be the reinforcements—but only if it's built to support care teams, not burden them.
Listen to the full conversation: https://lnkd.in/dGVWMswv
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