Self-scheduling hits a dead end. Referrals leave patients in the dark. AI-powered tools don't give helpful answers. Behind everyone of those moments is someone waiting for an appointment, callback, or guidance for what’s next. And a care team absorbing the cost.
Even the best tools used to shape the patient experience don’t work without underlying operational support. And in fact, the most disappointing patient experiences happen when a great AI or digital solution is placed on top of disconnected operations. The patient feels it first, whether it’s the referral that stalls in a fax queue or the reminder that goes out with the wrong information because two systems never reconciled. What looks like a workflow problem on the inside shows up as delayed care on the outside.
In this discussion, Aditya Bansod and GP Singh talk about the combination of technology and process that creates a simple, effective patient experience. They explore how AI helps merge the two by taking on behind-the-scenes bottlenecks that previously needed staff to connect the dots. The backend work is vital for what it makes possible at the front: patients who get to the right care faster, and clinicians who spend their time on care instead of chasing missing data.
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