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Working Group for Data-Driven Innovation (W-EXK2)
Logo Working Group for Data-Driven Innovation (W-EXK2)
Working Group for Data-Driven Innovation (W-EXK2)
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DDI > Team > Sara Gehder

External Doctoral Candidate

Sara Gehder (formerly: Dühnen)

Room: D 3.014
Phone: +49 (0) 40 42878 4237
E-Mail: sara.gehder@tuhh.de

To arrange an appointment, please contact us by e-mail.

Further information

Curriculum vitae

01/2023 - Today PhD Student - Data Driven Innovation in Healthcare, Technische Universität Hamburg
01/2023 - Today Unternehmensentwicklung - Digital Office, Die Techniker Krankenkasse
02/2022 - 01/2023 Head of Business Development & Partnerships, Kry
02/2021 - 01/2022 Business Development, Kry
02/2019 - 12/2020 Consultant, Roland Berger
10/2018 - 12/2018 Intern Business Consulting, Bayer Business Services
04/2018 - 09/2018 Research Associate, Humboldt-Universität zu Berlin
08/2017 - 10/2017 Intern, Roland Berger
06/2016 - 07/2017 Freelancer - Technology Office Chemicals Science Relations, Merck KGaA
03/2016 - 06/2016 Intern Technology Office, Merck KGaG
07/2016 - 10/2016 Research Associate, Cornell University
2016 - 2018 Master of Science (M.Sc.) - Molecular Life Sciences, Humboldt-Universität zu Berlin
05/2015 - 12/2015 Research Associate, Universidad de los Andes, Bogotá
08/2014 - 10/2014 Research Internship, Freie Universität Berlin
2013 - 2016 Bachelor of Science (B.Sc.) - Biology, Freie Universität Berlin
2012 - 2014 Project Manager, LBBW
2009 - 2012 Bachelor of Arts (BA) - Business Administration, Duale Hochschule Baden-Württemberg

Research interests

Sara Gehder's research focuses on advancing the integration of patient-centered digital health applications into healthcare delivery. Her work explores innovative approaches to evidence generation, with particular emphasis on real-world data (RWD) and its potential to demonstrate the effectiveness of mHealth applications in improving care. Sara is also deeply interested in the regulatory and implementation frameworks that facilitate the adoption of digital health solutions, such as Germany's Fast-Track Approval Process for Digital Health Applications (DiGA) under the Digital Healthcare Act. Her current projects investigate the use of RWD to capture the nuanced impact of mHealth interventions, addressing challenges in transitioning from traditional evidence models like randomized controlled trials to more dynamic and continuous performance monitoring. Additionally, she explores the broader conceptualization of efficacy, examining how patient-relevant structural and procedural improvements can drive healthcare innovation. Through this work, Sara investigates barriers to the adoption of patient-centered digital health solutions and identifies pathways to facilitate their inclusion in statutory healthcare systems worldwide.

 

Publications

Peer reviewed journal publications

  • Gehder, S., and Goeldner, M. (2025). Unpacking Performance Factors of Innovation Systems and Studying Germany’s Attempt to Foster the Role of the Patient Through a Market Access Pathway for Digital Health Applications (DiGAs): Exploratory Mixed Methods Study. Journal of Medical Internet Research, 27, e66356.
  • Gehder, S., and Goeldner, M. (2024). Struktur-und Verfahrensverbesserungen auf Rezept? Eine qualitative Analyse der Potenziale und Herausforderungen des pSVV-Konzepts bei Digitalen Gesundheitsanwendungen (DiGA). Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen.
  • Goeldner, M. and Gehder, S. (2024), Digital Health Applications (DiGAs) on a Fast Track: Insights From a Data-Driven Analysis of Prescribable Digital Therapeutics in Germany From 2020 to Mid-2024. Journal of Medical Internet Research 26:e59013.
TU Hamburg
Working Group for Data-Driven Innovation (W-EXK2)
Am Schwarzenberg-Campus 4 (Gebäude D)
21073 Hamburg
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