A goal in the Swedish healthcare system is that every cancer patient should receive a personalized care plan (Min Vårdplan) - a comprehensive document that serves as a national knowledge support system. Currently, these plans are manually created by a team of healthcare professionals, including contact nurses, doctors and physiotherapists, consuming valuable time in an already resource-constrained healthcare environment.
Tenfifty, together with Regional Cancer Centers of Sweden, are developing a solution to allow healthcare professionals to spend less time on the tedious tasks involved in creating the care plan and instead let them direct their expertise to the complex aspects. The goal is that they should be reviewers instead of writers. Our solution uses an agentic workflow where LLMs are tasked with decisions about document structure, adaptation of existing content, generating new material and providing references where these are needed.
This talk will detail our technical implementation and the challenges we faced. It is aimed at anyone working in the generative AI space, and especially those who are interested in using LLMs in multi-step workflows.
Linus earned his master's degree in computer science from Chalmers University of Technology in 2023 and has since been working as a data scientist at Tenfifty. He works with implementing AI solutions across various business domains. Having completed his master's thesis in the field of NLP, he has developed a particular interest in NLP-based projects and their broad range of applications.
