Improving Specialty Care Access With AI and Leap
Tech Talks Daily

Improving Specialty Care Access With AI and Leap

B2Upper-intermediateOctober 22, 202628 min
  • Interview

What good is a new treatment if patients still struggle to get the approvals, appointments, and support needed to receive it? In this episode of Tech Talks Daily, I speak with Amir Sharif, president and co-founder of Leap, about the operational infrastructure behind specialty care. While AI in drug discovery attracts attention, the journey from a prescription to treatment often depends on disconnected organizations, incomplete information, and manual coordination. Amir describes how Leap combines drug sourcing, distribution, care coordination, and employer benefit arrangements to address some of those gaps. His interest in patient experience grew...

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depends on insurance approvals, drug deliveries, appointment scheduling and people connecting

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B2 · Upper-intermediate

Comfortable if you already follow TV news

A1 14%A2 29%B1 25%B2 22%C1 10%
  • 68% of the words are B1 or easier.
  • 175 words a minute: natural, fairly fast speech.
  • 160 harder words (B2 and up) in the whole episode.

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0:00

What happens after a physician prescribes a treatment if getting that treatment still depends on insurance approvals, drug deliveries, appointment scheduling and people connecting systems that barely speak to each other? Well today on Tech Talks Daily I'm going to be joined by the president and co-founder

0:23

of a company called Leap and together we're going to look at the technology behind speciality care. These are often complex and expensive therapies that require a nurse or a physician to administer them. But my guest today will explain why a prescription can be the beginning of a very difficult analogue administrative journey. I'll also learn today about how drug

0:47

pricing can impact employers and patients alike, and where technology can help. Supervised AI workflows, how AI workflows can take work off a care team's desk. And we'll also discuss the data needed to identify patients earlier, the economics of running agents, and why someone should still answer the phone when a patient needs help. But if you're trying to connect it all and

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