FlexiLingo
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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B2 · 中高级
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depends on insurance approvals, drug deliveries, appointment scheduling and people connecting
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这一集适合你吗？
B2 · 中高级
能看懂电视新闻就会觉得轻松
- 68% 的单词在 B1 或更简单的水平。
- 每分钟 175 词：自然语速，偏快。
- 整集共有 160 个较难的单词（B2 及以上）。
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较难的单词（B2+）
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
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
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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