Universitätsklinikum Leipzig launches UKL-GPT, an in-house AI platform run entirely in its own data centre
Universitätsklinikum Leipzig· GermanyUniversitätsklinikum Leipzig presented UKL-GPT, a company-GPT operated in compliance with data protection fully in the hospital's own data centre, able to work with sensitive information such as patient data. Core function is search across about 8,700 internal documents such as guidelines and administrative documents, plus an AI assistant that helps draft emails, reports and summaries. Planned extensions include support for patient history-taking and automated drafting of applications.
Overview
Universitätsklinikum Leipzig presented UKL-GPT, a company-GPT operated in compliance with data protection fully in the hospital's own data centre, able to work with sensitive information such as patient data. Core function is search across about 8,700 internal documents such as guidelines and administrative documents, plus an AI assistant that helps draft emails, reports and summaries. Planned extensions include support for patient history-taking and automated drafting of applications.
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Inspect the highlighted sourceThe challenge
The hospital wanted to use the advantages of modern generative AI without compromising on data protection, and many hospitals use AI only selectively, for example for medical decision support in radiology.
The solution
UKL-GPT is a company-GPT developed for the needs of a university hospital and run fully in the hospital's own data centre. Its core function is a search across about 8,700 internal documents such as guidelines and administrative documents, complemented by an AI assistant that helps draft emails, reports and summaries.
Reported business value
UKL-GPT establishes a broadly available internal assistance system for all professional groups, able to work with sensitive information such as patient data. The report gives no outcome figures. The hospital plans to extend it, for example to support patient history-taking and automated drafting of applications.
Sources
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