Design of a Trust Third Party at a large University Hospital: Current Status and Future Developments (Preprint)

Author:

Wündisch EricORCID,Hufnagl Peter,Brunecker Peter,Meier zu Ummeln Sophie,Träger Sarah,Kopp Marcus,Prasser Fabian,Weber Joachim E.ORCID

Abstract

BACKGROUND

Pseudonymisation has become a best practice to securely manage the identities of patients and study participants in medical research projects and data sharing initiatives. This method offers the advantage of not requiring directly identifying data to support various research processes, while still allowing for advanced processing activities, such as data linkage. Often, pseudonymization and related functionalities are bundled in specific technical and organization units, the so-called Trusted Third Parties (TTPs). However, pseudonymization can significantly increase the complexity of data management and research workflows, necessitating the need for adequate tool support. Common tasks for TTPs include supporting the secure registration and pseudonymization of patient and sample identities as well as consent management.

OBJECTIVE

Despite the challenges involved, little has been published about successful architectures and functional tools for implementing TTPs in large-scale university hospitals. The aim of this manuscript is to bridge this gap by describing the software architecture and tool set developed and deployed as part of a TTP established at Charité – Universitätsmedizin Berlin.

METHODS

The infrastructure for the TTP was designed to provide a modular structure while keeping maintenance requirements low. Basic functionalities were realized with the free MOSAIC tools. However, supporting common study processes required to implement workflows that span different basic services, e.g., patient registration, followed by pseudonym generation and concluded by consent collection. To achieve this, an integration layer was developed that provides a unified RESTful Application Programming Interface (API) as a basis for more complex workflows. Based on this API, a unified Graphical User Interface (GUI) was also implemented, providing an integrated view on information objects and workflows supported by the TTP. The API was implemented using Java and Spring Boot, while the GUI was implemented in PHP and Laravel. Both services use a shared Keycloak instance as a unified management system for roles and rights.

RESULTS

By the end of 2022, the TTP has already supported more than 10 research projects since it took up operation in December 2019. Within these projects, more than 3,000 identities were stored, more than 30,000 pseudonyms were generated and more than 1,500 consent forms were submitted. In total, more than 150 people regularly work with the software platform. By implementing the integration layer and the unified user interface together with comprehensive roles and rights management, the effort for operating the TTP could be significantly reduced, since personnel of the supported research projects can use many functionalities independently.

CONCLUSIONS

With the architecture and components described, a user-friendly and compliant environment for supporting research projects has been created. We believe that the insights into the design and implementation of our TTP can help other institutions to efficiently and effectively set up corresponding structures.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3