Evidence map›Paper›PMID 38632712›Full record

ArticleJMIR medical informatics2024

Development of a Trusted Third Party at a Large University Hospital: Design and Implementation Study.

Eric Wündisch, Peter Hufnagl, Peter Brunecker, Sophie Meier Zu Ummeln, Sarah Träger, Marcus Kopp, Fabian Prasser, Joachim Weber

Abstract read
In one paragraph

Article in JMIR medical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Eric WündischCore Unit THS, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0009-0007-5648-5528
Peter HufnaglDigital Pathology, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0001-6810-586X
Peter BruneckerCore Unit Research IT, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-1107-1982
Sophie Meier Zu UmmelnCore Unit THS, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0009-0006-7502-1748
Sarah TrägerCore Unit THS, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0009-0001-6213-355X
Marcus KoppCore Unit THS, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0009-0002-9311-5036
Fabian Prasser *Medical Informatics Group, Center of Health Data Science, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-3172-3095
Joachim Weber *Core Unit THS, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-1666-6021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pseudonymization 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 the direct identification of 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 known as trusted third parties (TTPs). However, pseudonymization can significantly increase the complexity of data management and research workflows, necessitating adequate tool support. Common tasks of TTPs include supporting the secure registration and pseudonymization of patient and sample identities as well as managing consent. Objective: Despite the challenges involved, little has been published about successful architectures and functional tools for implementing TTPs in large university hospitals. The aim of this paper is to fill this research 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 requires implementing workflows that span different basic services, such as patient registration, followed by pseudonym generation and concluded by consent collection. To achieve this, an integration layer was developed to provide a unified Representational state transfer (REST) application programming interface (API) as a basis for more complex workflows. Based on this API, a unified graphical user interface was also implemented, providing an integrated view of information objects and workflows supported by the TTP. The API was implemented using Java and Spring Boot, while the graphical user interface 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 its launch in December 2019. Within these projects, more than 3000 identities were stored, more than 30,000 pseudonyms were generated, and more than 1500 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, as personnel of the supported research projects can use many functionalities independently. Conclusions: With the architecture and components described, we created a user-friendly and compliant environment for supporting research projects. 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.

Indexed as

applicationarchitectureconsentdata managementdata privacyEHRelectronic health recordhealth platformhealth recordidentifying dataimplementationinfrastructuremodularpseudonymisationpseudonymizationscalabilitysecuritysoftwaretrusted third partyuser interface

Identifiers

PMID38632712
PMCPMC11040164

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.