---
title: "AI and the Trust Problem in Healthcare | Smart Data"
url: https://www.smartdata.net/blog/ai-and-the-trust-problem-in-healthcare
description: "This Lunch and Learn event will explore strategies for safely implementing AI technology in healthcare, with a focus on oncology."
source: "Smart Data (smartdata.net). Markdown copy of the page; the HTML page is canonical."
---

Lunch and Learn

# AI and the Trust Problem in Healthcare

Jay Brown

Business Development October 19, 2023 1 min read

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- Lunch and Learn Information

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A guide from Smart Data

The AI Enablement Guide

Where your data stands, and which AI use cases it can support today.

[A guide from Smart Data The AI Enablement Guide Where your data stands, and which AI use cases it can support today.…](https://www.smartdata.net/ai-enablement)

## Lunch and Learn Information

11:30 am - 1:00 pm

In-Person and Virtual

This talk will discuss strategies to safely apply the latest advances in AI and LLM technology to a healthcare setting. The talk will focus on applying these strategies in an oncology setting as a means to accelerate the adoption of new treatments and support general oncologists to deliver better care close to home for every patient. We will explore both the technical and human strategies to make this possible.

#### About Matthew Struck

Founder, Head of Product @ Primum

Matthew is an experienced product leader who has worked on healthcare products in clinical decision support, cell and gene therapy, real world data, and decentralized clinical trials. He has had prior roles at Medable, Syapse, Vineti and Epocrates. He is passionate about bringing to healthcare a user-centered design approach, and has specialized in building zero to one products.

**Eventbrite/In-Person link:**

[https://www.eventbrite.com/e/lunch-learn-ai-and-the-trust-problem-in-healthcare-tickets-740883040117](https://www.eventbrite.com/e/lunch-learn-ai-and-the-trust-problem-in-healthcare-tickets-740883040117)

#### Recording

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## Not sure your data is ready for AI?

The guide covers data maturity, use cases by readiness level and industry perspectives, so you can see where your platform stands before you pick a model.