Evaluation of a DIC Broad Consent Cohort

This single-center retrospective observational study accesses potential differences between adult patients who were admitted to the University Hospital Erlangen between March 2021 and December 2023 (hospital cohort) and adult patients who have given consent to use their documented data for research purposes (broad consent cohort). Demographic and clinical data (ICD-10 diagnoses) were extracted from the university hospital's FHIR research data repository and analyzed in pseudonymized form. The two cohorts comprise 98,564 and 1,678 patients respectively and were compared concerning representativity of the BC cohort. The results suggest that the ongoing stepwise rollout of the consent obtainment process creates biases in clinical and demographic characteristics. For as long as these biases persist, we suggest researchers to prefer federated over centralized approaches to data analysis, where broad consent is not required and the analyses can be based on the total hospital cohort.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250386
Primary Topic
Medical Malpractice and Liability Issues
Type
article
Field-Weighted Citation Impact
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article

Evaluation of a DIC Broad Consent Cohort

Marvin Kampf, Susanne A. Seuchter, Christian Gülden, Hans‐Ulrich Prokosch et al.
Studies in health technology and informatics
Medical Malpractice and Liability Issues
article

Evaluation of a DIC Broad Consent Cohort

Marvin Kampf, Susanne A. Seuchter, Christian Gülden, Hans‐Ulrich Prokosch, Detlef Kraska, Thomas Ganslandt
article en

Abstract

This single-center retrospective observational study accesses potential differences between adult patients who were admitted to the University Hospital Erlangen between March 2021 and December 2023 (hospital cohort) and adult patients who have given consent to use their documented data for research purposes (broad consent cohort). Demographic and clinical data (ICD-10 diagnoses) were extracted from the university hospital's FHIR research data repository and analyzed in pseudonymized form. The two cohorts comprise 98,564 and 1,678 patients respectively and were compared concerning representativity of the BC cohort. The results suggest that the ongoing stepwise rollout of the consent obtainment process creates biases in clinical and demographic characteristics. For as long as these biases persist, we suggest researchers to prefer federated over centralized approaches to data analysis, where broad consent is not required and the analyses can be based on the total hospital cohort.

Studies in health technology and informaticsVol. 327
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Universitätsklinikum Erlangen (DE)
Openalex Percentile: Top 73%
Medical Malpractice and Liability Issues
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