Data Integration
Integrating clinical subsystems into an interoperable environment using high-performance ETL streams and the FHIR standard as a shared data schema.
Ahoy! / IKIM / University Medicine Essen
We at SHIP strive for the fusion of research and clinical applicability to create valuable clinical impact. Our backend enables state-of-the-art research questions while staying focused on clinical relevance. This lets us combine state-of-the-art AI and web development to solve clinically relevant problems and research questions.
Who we are
Drawing inspiration from the pioneering spirit of exploration, SHIP blends cutting-edge AI and web development to navigate the vast seas of clinical research and application. We venture beyond safe demos to build practical solutions for pressing clinical challenges.
As part of University Medicine Essen and the Institute for Artificial Intelligence in Medicine, we are closely connected to the real-world problems and infrastructure of one of the largest hospitals in western Germany.
Integrating clinical subsystems into an interoperable environment using high-performance ETL streams and the FHIR standard as a shared data schema.
Using real-world clinical data with state-of-the-art AI for computer vision, time-series forecasting, and large language models backed by GPU infrastructure.
Improving clinician workflows through easy-to-use applications based on real clinical problems, bridging data infrastructure to the point of care.
Clinical interoperability & AI from Essen
We operate one of Europe’s largest FHIR infrastructures, connecting hospital data with AI-powered and non-AI applications for research and clinical care.
That ecosystem supports patient dashboards, image analysis, risk prediction, survival modelling, and decision-support workflows built for real clinical use.
Our tech stack
Our tech stack leverages cutting-edge packages, open-source technologies, and high-performance programming languages tailored for rapid AI development and efficient ETL processes. With an always up-to-date and dynamic stack, we stay close to the pulse of healthcare technology.
Interoperable data models and application interfaces for clinical-scale workflows.
Computer vision, forecasting, and LLM approaches built on real-world clinical data.
High-performance importers that connect hospital subsystems to research-ready data products.
Web and mobile tools that turn infrastructure into usable support at the point of care.
Publications
Explore recent publications from SHIP and IKIM researchers across clinical AI, imaging, interoperability, and data-driven medicine.
Keyl J et al.
View PaperKünnemann MD et al.
View PaperOpen source
Reusable software, datasets, and clinical data infrastructure from our work at the intersection of AI and interoperability.
Softmax for Arbitrary Label Trees for segmentation networks with hierarchical label relationships.
Python API to query FHIR servers and structure bundles as analysis-ready pandas DataFrames.
CT segmentation and body composition tooling from the SHIP-AI group.
Sparsely Annotated Region and Organ Segmentation dataset for heterogeneous CT imaging data.
DICOMweb-compatible gateway server with DIMSE and S3 implementations.
Medical information retrieval with clinical language embeddings for RAG applications.
Transforms BOA analysis results into corresponding FHIR profiles.
Team

Lead

Lead AI & Data Science

Medical Lead

Postdoc AI & Data Science

Data Integration

Lead Annotation Lab

Lead Frontend Development

Technical Director DIC

Technical Director DIC

Lead Central IT

Nursing Research

Full-Stack Developer

Senior Developer

Full-Stack Developer

AI & Data Science

Data Science & AI

AI & Data Science

AI & Data Science

AI & Data Science

AI & Data Science

Administration

Administration

Full-Stack Developer

AI & Data Science

AI & Data Science

AI & Data Science

Data Integration

Data Integration
Data Integration

AI & Data Science

AI & Data Science

AI & Data Science

AI & Data Science

AI & Data Science

Junior Developer

Full-Stack Developer

AI & Data Science

Medical Research

Medical Research

Senior Developer

Data Integration

Data Integration

Full-Stack Developer

Medical Research

Medical Research

Medical Research

Medical Research

Developer
Junior Developer

Medical Research
AI & Data Science
AI & Data Science
Junior Developer
Full-Stack Developer
Data Integration
News
Recent talks, interviews, publications, and public updates from the clinical AI ecosystem around SHIP and IKIM.
Zitat zum Thema Foundation Models in der Radiologie im kma-Beitrag.
Vortrag im Rahmen einer Fortbildung zu Therapietreue in der Behandlung von Brustkrebspatientinnen.
Vortrag zur Patientenversorgung im Krankenhaus auf Einladung von Prof. Irit Nachtigall.
Vortrag über künstliche Intelligenz und die Patientenversorgung der Zukunft.
Zitat zum Thema Foundation Models in der Radiologie im kma-Beitrag.
Vortrag im Rahmen einer Fortbildung zu Therapietreue in der Behandlung von Brustkrebspatientinnen.
Vortrag zur Patientenversorgung im Krankenhaus auf Einladung von Prof. Irit Nachtigall.
Vortrag über künstliche Intelligenz und die Patientenversorgung der Zukunft.
Contact