Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train.

Autor: Choudhury A; Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands. ananya.choudhury@maastro.nl.; Clinical Data Science Group, Faculty of Health Medicine and Life Sciences, Maastricht University Medical Center+, Paul-Henri Spaaklaan 1, Maastricht, 6229 GT, Netherlands. ananya.choudhury@maastro.nl., Janssen E; Department of Orthopaedics, Maastricht University Medical Center+, Maastricht, The Netherlands.; Department of Orthopaedic Surgery, VieCuri Medical Center, Venlo, The Netherlands., Bongers BC; Department of Nutrition and Movement Sciences, Faculty of Health, Medicine and Life Sciences, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands.; Department of Epidemiology, Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands., van Meeteren NLU; Top Sector Life Sciences and Health (Health∼Holland), the Hague, the Netherlands.; Department of Anesthesiology, Erasmus Medical Center, Rotterdam, the Netherlands.; Topcare, Leiden, the Netherlands., Dekker A; Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands., van Soest J; Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.; Brightlands Institute for Smart Society (BISS), Faculty of Science and Engineering (FSE), Maastricht University, Heerlen, the Netherlands.
Jazyk: angličtina
Zdroj: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 May 09; Vol. 24 (1), pp. 121. Date of Electronic Publication: 2024 May 09.
DOI: 10.1186/s12911-024-02526-y
Abstrakt: Objective: Hospitals and healthcare providers should assess and compare the quality of care given to patients and based on this improve the care. In the Netherlands, hospitals provide data to national quality registries, which in return provide annual quality indicators. However, this process is time-consuming, resource intensive and risks patient privacy and confidentiality. In this paper, we presented a multicentric 'Proof of Principle' study for federated calculation of quality indicators in patients with colorectal cancer. The findings suggest that the proposed approach is highly time-efficient and consume significantly lesser resources.
Materials and Methods: Two quality indicators are calculated in an efficient and privacy presevering federated manner, by i) applying the Findable Accessible Interoperable and Reusable (FAIR) data principles and ii) using the Personal Health Train (PHT) infrastructure. Instead of sharing data to a centralized registry, PHT enables analysis by sending algorithms and sharing only insights from the data.
Results: ETL process extracted data from the Electronic Health Record systems of the hospitals, converted them to FAIR data and hosted in RDF endpoints within each hospital. Finally, quality indicators from each center are calculated using PHT and the mean result along with the individual results plotted.
Discussion and Conclusion: PHT and FAIR data principles can efficiently calculate quality indicators in a privacy-preserving federated approach and the work can be scaled up both nationally and internationally. Despite this, application of the methodology was largely hampered by ELSI issues. However, the lessons learned from this study can provide other hospitals and researchers to adapt to the process easily and take effective measures in building quality of care infrastructures.
(© 2024. The Author(s).)
Databáze: MEDLINE
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