Jannik Schaaf

Orcid: 0000-0002-0058-155X

According to our database1, Jannik Schaaf authored at least 20 papers between 2018 and 2023.

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Bibliography

2023
Requirements analysis for an AI-based clinical decision support system for general practitioners: a user-centered design process.
BMC Medical Informatics Decis. Mak., December, 2023

Diagnosis Support for Rare Diseases Using Phenotypic Profiles.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Rare Diseases in Citizen Science - Preliminary Experiences in Developing a Personal Health App.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Translation of Ontological Concepts from English into German Using Commercial Translation Software and Expert Evaluation.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Initial User-Centred Design of an AI-Based Clinical Decision Support System for Primary Care.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022
The ERN-LUNG Population Registry: Aims, Software-Implementation and First Results.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Conception, Development and Validation of Classification Methods for Coding Support of Rare Diseases Using Artificial Intelligence.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

The Use of Computer-Assisted Case-Based Reasoning to Support Clinical Decision-Making - A Scoping Review.
Proceedings of the Case-Based Reasoning Research and Development, 2022

Development of an Interactive Dashboard for OSSE Rare Disease Registries.
Proceedings of the dHealth 2022, 2022

User-Centred Development of a Diagnosis Support System for Rare Diseases.
Proceedings of the dHealth 2022, 2022

2021
Evaluation of a clinical decision support system for rare diseases: a qualitative study.
BMC Medical Informatics Decis. Mak., 2021

A Medical Report Feature for OSSE Rare Disease Registries.
Proceedings of the Public Health and Informatics, 2021

Citizen Science in Human Medicine and the Use of Software-Systems: A Rapid Scoping Review.
Proceedings of the German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal - Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF, 2021

2020
Interviews with experts in rare diseases for the development of clinical decision support system software - a qualitative study.
BMC Medical Informatics Decis. Mak., 2020

Visualization of Similar Patients in a Clinical Decision Support System for Rare Diseases - A Focus Group Study.
Proceedings of the German Medical Data Sciences: Bringing Data to Life - Proceedings of the Joint Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) and the Central European Network, 2020

The Registry Data Warehouse in the European Reference Network for Rare Respiratory Diseases - Background, Conception and Implementation.
Proceedings of the German Medical Data Sciences: Bringing Data to Life - Proceedings of the Joint Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) and the Central European Network, 2020

The Status Quo of Rare Diseases Centres for the Development of a Clinical Decision Support System - A Cross-Sectional Study.
Proceedings of the dHealth 2020 - Biomedical Informatics for Health and Care, 2020

2019
Finding the Needle in the Hay Stack: An Open Architecture to Support Diagnosis of Undiagnosed Patients.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Experiences from the National Demonstrator Study within the German Medical Informatics Initiative.
Proceedings of the AMIA 2019, 2019

2018
OSSE Goes FAIR - Implementation of the FAIR Data Principles for an Open-Source Registry for Rare Diseases.
Proceedings of the German Medical Data Sciences: A Learning Healthcare System, 2018


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