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...

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Publicado en:Journal of Medical Systems Vol. 46; no. 12; pp. 1 - 12
Autores principales: 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.
Formato: equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Dec2022
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        atl: New Approach to Privacy-Preserving Clinical Decision Support Systems for HIV Treatment.
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          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
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