Swapping data: A pragmatic approach for enabling academic-industrial partnerships.
Digit Health
; 9: 20552076231172120, 2023.
Article
en En
| MEDLINE
| ID: mdl-37188076
ABSTRACT
Objectives:
Academic institutions have access to comprehensive sets of real-world data. However, their potential for secondary use-for example, in medical outcomes research or health care quality management-is often limited due to data privacy concerns. External partners could help achieve this potential, yet documented frameworks for such cooperation are lacking. Therefore, this work presents a pragmatic approach for enabling academic-industrial data partnerships in a health care environment.Methods:
We employ a value-swapping strategy to facilitate data sharing. Using tumor documentation and molecular pathology data, we define a data-altering process as well as rules for an organizational pipeline that includes the technical anonymization process.Results:
The resulting dataset was fully anonymized while still retaining the critical properties of the original data to allow for external development and the training of analytical algorithms.Conclusion:
Value swapping is a pragmatic, yet powerful method to balance data privacy and requirements for algorithm development; therefore, it is well suited to enable academic-industrial data partnerships.
Texto completo:
1
Colección:
01-internacional
Idioma:
En
Revista:
Digit Health
Año:
2023
Tipo del documento:
Article
País de afiliación:
Alemania