New Approach to Privacy-Preserving Clinical Decision Support Systems for HIV Treatment.
Background: HIV 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...
| Publicado en: | Journal of Medical Systems Vol. 46; no. 12; pp. 1 - 12 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160563215&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160563215 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Dec2022 vid: 46 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 160563215 160563215 160563215 10.1007/s10916-022-01851-x 160563215 ppf: 1 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: New Approach to Privacy-Preserving Clinical Decision Support Systems for HIV Treatment. aug: au: Spini, Gabriele Mancini, Emiliano Attema, Thomas Abspoel, Mark de Gier, Jan Fehr, Serge Veugen, Thijs van Heesch, Maran Worm, Daniël De Luca, Andrea Cramer, Ronald Sloot, Peter M.A. affil: Applied Cryptography and Quantum Algorithms, TNO, 96800, 2509 JE, Postbus, The Hague, The Netherlands sug: subj: HIV Infections Drug Therapy Decision Support Systems, Clinical Privacy and Confidentiality Data Security Anti-HIV Agents Therapeutic Use Human Exploratory Research Access to Information Medical Records Genotype Protease Inhibitors HIV Integrase Inhibitors Reverse Transcriptase Inhibitors Amino Acids Viral Load Bioinformatics Decision Making, Clinical Funding Source ab: Background: HIV 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. Methods: A 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. Findings: Our 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. Interpretation: This 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. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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