Lessons Learned From Shipping AI-Powered Healthcare Products

QCon London 2025

Session AI/ML

Lessons Learned From Shipping AI-Powered Healthcare Products

Monday Apr 7 / 10:35AM BST, Windsor (5th Fl.)

Abstract

This talk provides valuable insights into Sword Health's real-world experience implementing AI in healthcare, focusing on practical strategies for developing consistent, safe and reliable AI-powered healthcare solutions. Through a case study format, attendees will learn concrete approaches to building guardrails, evaluation frameworks, and data-driven development practices. The session will be valuable for those looking to understand the challenges of deploying AI systems in real-world settings.

Interview

Building and scaling machine learning systems that support Sword Health's goal of reinventing how patients access and receive care, by creating a more human, more clinically effective, and more scalable way to treat patients.

I look forward to sharing our practical learnings because, while many discuss AI's potential in healthcare, few are openly sharing strategies for responsible implementation.

The session will be valuable for those looking to understand the challenges of deploying AI systems in real-world settings.

This talk provides valuable insights into Sword Health's real-world experience implementing AI in healthcare, focusing on practical strategies for developing consistent, safe and reliable AI-powered healthcare solutions. Through a case study format, attendees will learn concrete approaches to building guardrails, evaluation frameworks, and data-driven development practices.

How Generative AI will change how we work everyday.

Topics

AI/ML use case Healthcare
76% senior dev or higher
1:11 speaker ratio
60+ practitioners

QCon London 2025 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.

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