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Updated: May 24, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Scaling Electronic Consent for Research Integrated into Clinical Routine Processes.

Eric Wündisch1, Alexander Palant1, Loïc Khodarkovsky1

  • 1Core Unit THS, BIH at Charité, Berlin, Germany.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

Implementing an electronic consent app into clinical workflows is feasible. This system streamlines research consent collection, reducing workload and supporting multiple projects with minimal support needs.

Keywords:
electronic consentmobile apppseudonymizationtrusted third party

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Area of Science:

  • Health Informatics
  • Clinical Research Management
  • Digital Health

Background:

  • Collecting informed consent for research within routine clinical processes presents significant challenges.
  • Integrating digital consent solutions without increasing healthcare professional workload is a key objective.

Purpose of the Study:

  • To describe the design, implementation, and real-world deployment of an electronic consenting application.
  • To evaluate the feasibility and efficiency of embedding an electronic consent app into clinical routine processes.

Main Methods:

  • Development and deployment of a secure electronic consent app utilizing REST endpoints for dynamic content and data submission.
  • User interface optimization for diverse user groups, including older adults.
  • Integration with existing clinical infrastructure for participant registration and pseudonymization.

Main Results:

  • The system has successfully collected 7177 consents across 68 templates on 66 devices since 2021.
  • Low support demand reported, with 369 users and 14 supported research projects.
  • Automated derivation of usage permissions from structured consent data demonstrated.

Conclusions:

  • Scaling electronic consent collection in clinical settings is achievable through comprehensive architectural integration.
  • The developed system demonstrates a practical and efficient solution for managing electronic informed consent in research.
  • Embedding digital consent tools within clinical workflows can be streamlined without adding significant burden.