Title
New Approach to Privacy-Preserving Clinical Decision Support Systems for HIV Treatment
Author
Spini, G.
Mancini, E.
Attema, T.
Abspoel, M.
de Gier, J.
Fehr, S.
Veugen, T.
van Heesch, M.
Worm, D.
de Luca, A.
Cramer, R.
Sloot, P.M.A.
Publication year
2022
Abstract
BackgroundHIV treatment prescription is a complex process. Clinical decision support systems (CDSS) are a category of health information technologies that can assist clinicians to choose optimal treatments based on clinical trials and expert knowledge. The usability of some CDSSs for HIV treatment would be significantly improved by using the knowledge obtained by treating other patients. This knowledge, however, is mainly contained in patient records, whose usage is restricted due to privacy and confidentiality constraints.MethodsA treatment effectiveness measure, containing valuable information for HIV treatment prescription, was defined and a method to extract this measure from patient records was developed. This method uses an advanced cryptographic technology, known as secure Multiparty Computation (henceforth referred to as MPC), to preserve the privacy of the patient records and the confidentiality of the clinicians’ decisions.FindingsOur solution enables to compute an effectiveness measure of an HIV treatment, the average time-to-treatment-failure, while preserving privacy. Experimental results show that our solution, although at proof-of-concept stage, has good efficiency and provides a result to a query within 24 min for a dataset of realistic size.InterpretationThis paper presents a novel and efficient approach HIV clinical decision support systems, that harnesses the potential and insights acquired from treatment data, while preserving the privacy of patient records and the confidentiality of clinician decisions.
Subject
Anti-HIV agents
Clinical decision support systems
Confidentiality
Privacy
Secure multiparty computation
clinical decision support system
computer security
confidentiality
human
Human immunodeficiency virus infection
privacy
Computer Security
Confidentiality
Decision Support Systems, Clinical
HIV Infections
Humans
Privacy
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http://resolver.tudelft.nl/uuid:255e66d7-b8a9-45c5-ae89-57c3b5b6b0ad
TNO identifier
977837
Publisher
Springer
ISSN
0148-5598
Source
Journal of Medical Systems, 46 (46)
Document type
article