This paper is in the following e-collection/theme issue:

Secondary Use of Clinical Data for Research and Surveillance (410) Research Infrastructures and Registries (69) Case Study (33) Clinical Informatics (1131) Recruitment of Research Participants (340) Innovations in Clinical Trials and Research Data Management (101) eHealth Infrastructures (383)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28696, first published .
Patient Recruitment System for Clinical Trials: Mixed Methods Study About Requirements at Ten University Hospitals

Patient Recruitment System for Clinical Trials: Mixed Methods Study About Requirements at Ten University Hospitals

Patient Recruitment System for Clinical Trials: Mixed Methods Study About Requirements at Ten University Hospitals

Authors of this article:

Kai Fitzer1, 2 Author Orcid Image ;   Renate Haeuslschmid3 Author Orcid Image ;   Romina Blasini4 Author Orcid Image ;   Fatma Betül Altun5 Author Orcid Image ;   Christopher Hampf1 Author Orcid Image ;   Sherry Freiesleben1 Author Orcid Image ;   Philipp Macho6 Author Orcid Image ;   Hans-Ulrich Prokosch7 Author Orcid Image ;   Christian Gulden7 Author Orcid Image
Article Authors Cited by (15) Tweetations (4) Metrics

Journals

  1. Kempf E, Vaterkowski M, Leprovost D, Griffon N, Ouagne D, Breant S, Serre P, Mouchet A, Rance B, Chatellier G, Bellamine A, Frank M, Guerin J, Tannier X, Livartowski A, Hilka M, Daniel C. How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in Urologic Cancers. JCO Clinical Cancer Informatics 2023;(7) View
  2. Wolfien M, Ahmadi N, Fitzer K, Grummt S, Heine K, Jung I, Krefting D, Kühn A, Peng Y, Reinecke I, Scheel J, Schmidt T, Schmücker P, Schüttler C, Waltemath D, Zoch M, Sedlmayr M. Ten Topics to Get Started in Medical Informatics Research. Journal of Medical Internet Research 2023;25:e45948 View
  3. Blasini R, Buchowicz K, Schneider H, Samans B, Sohrabi K. Implementation of inclusion and exclusion criteria in clinical studies in OHDSI ATLAS software. Scientific Reports 2023;13(1) View
  4. Blasini R, Strantz C, Gulden C, Helfer S, Lidke J, Prokosch H, Sohrabi K, Schneider H. Evaluation of Eligibility Criteria Relevance for the Purpose of IT-Supported Trial Recruitment: Descriptive Quantitative Analysis. JMIR Formative Research 2024;8:e49347 View
  5. Marino M, Kazmaier L, Krendelsberger A, Müller S, Kesting S, Fey T, Nasseh D. How can current oncological datasets be adjusted to support the automated patient recruitment in clinical trials?. Health Informatics Journal 2024;30(1) View
  6. Gulden C, Macho P, Reinecke I, Strantz C, Prokosch H, Blasini R. recruIT: A cloud-native clinical trial recruitment support system based on Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) and the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). Computers in Biology and Medicine 2024;174:108411 View
  7. Semler S, Boeker M, Eils R, Krefting D, Loeffler M, Bussmann J, Wissing F, Prokosch H. Die Medizininformatik-Initiative im Überblick – Aufbau einer Gesundheitsforschungsdateninfrastruktur in Deutschland. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024;67(6):616 View
  8. Stein A, Blasini R, Strantz C, Fitzer K, Gulden C, Leddig T, Hoffmann W. User Requirements for an Electronic Patient Recruitment System: Semistructured Interview Analysis After First Implementation in 3 German University Hospitals. JMIR Human Factors 2024;11:e56872 View
  9. La Rosa A, Vaterkowski M, Cuggia M, Campillo‐Gimenez B, Tournigand C, Baujat B, Daniel C, Kempf E, Lamé G. “The Truth Is, We Must Miss Some”: A Qualitative Study of the Patient Eligibility Screening Process, and Automation Perspectives, for Cancer Clinical Trials. Cancer Medicine 2024;13(23) View
  10. Koh J, Caron S, Watters A, Vaidyanathan M, Melnick D, Santi A, Hudson K, Arguelles C, Mathur P, Etemadi M. Technological Adjuncts to Streamline Patient Recruitment, Informed Consent, and Data Management Processes in Clinical Research: Observational Study. JMIR Formative Research 2025;9:e58628 View
  11. Geerts J, Siemerink E, Sniehotta F, Loman L, Bode C, Pieterse M. A protocol for a feasibility study of Cognitive Bias Modification training (IVY) countering fatigue in people with breast cancer. Pilot and Feasibility Studies 2024;10(1) View
  12. Bikou A, Deligianni E, Dermiki-Gkana F, Liappas N, Teriús-Padrón J, Beltrán Jaunsarás M, Cabrera-Umpiérrez M, Kontogiorgis C. Improving Participant Recruitment in Clinical Trials: Comparative Analysis of Innovative Digital Platforms. Journal of Medical Internet Research 2024;26:e60504 View
  13. Saady M, Eissa M, Yacoub A, Hamed A, Azzazy H. Implementation of artificial intelligence approaches in oncology clinical trials: A systematic review. Artificial Intelligence in Medicine 2025;161:103066 View
  14. Gardner L, Raeisian Parvari P, Seidman M, Holden R, Fowler N, Zarzaur B, Summanwar D, Barboi C, Boustani M. Improving the User Interface and Guiding the Development of Effective Training Material for a Clinical Research Recruitment and Retention Dashboard: Usability Testing Study. JMIR Formative Research 2025;9:e66718 View