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Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study

Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study

CDS: clinical decision support; CP-ABE: ciphertext-policy attribute–based encryption. EHR: electronic health record; OMOP: Observational Medical Outcomes Partnership; RDF: resource description framework. The local EHR knowledge graph component offers the capability to leverage local EHR data for semantic reasoning and CDS generation. This component has been adapted from our previous study [18].

Yong Shang, Yu Tian, Kewei Lyu, Tianshu Zhou, Ping Zhang, Jianghua Chen, Jingsong Li

J Med Internet Res 2024;26:e54263

Perceptions of a Secure Cloud-Based Solution for Data Sharing During Acute Stroke Care: Qualitative Interview Study

Perceptions of a Secure Cloud-Based Solution for Data Sharing During Acute Stroke Care: Qualitative Interview Study

Thus, besides using encryption and access control to secure the data in the cloud, it is necessary to use modern techniques to adequately address all the requirements in acute care. Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Health Care (ASCLEPIOS) is a project funded by the Horizon 2020 program [21].

Marcela Tuler de Oliveira, Lúcio Henrik Amorim Reis, Henk Marquering, Aeilko H Zwinderman, Sílvia Delgado Olabarriaga

JMIR Form Res 2022;6(12):e40061

Machine Learning–Based Analysis of Encrypted Medical Data in the Cloud: Qualitative Study of Expert Stakeholders’ Perspectives

Machine Learning–Based Analysis of Encrypted Medical Data in the Cloud: Qualitative Study of Expert Stakeholders’ Perspectives

For most nontechnical participants, there was a common belief that encryption is being performed by the institution behind the scenes. For example, encrypted email is common within their organization. Encrypted data are better protected than unencrypted data. Encryption is considered important, especially for data that are being transferred between institutions. It was mentioned that encrypted data are considered to be safer than unencrypted data; however, encryption “cannot be trusted 100%” (Res12).

Ala Sarah Sarah Alaqra, Bridget Kane, Simone Fischer-Hübner

JMIR Hum Factors 2021;8(3):e21810

Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis

Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis

The combination of secure multiparty computation and homomorphic encryption was proposed to overcome their respective overheads and technical limitations; we refer to it as multiparty homomorphic encryption [43-46]. Multiparty homomorphic encryption enables flexible secure processing by efficiently transitioning between encrypted local computation, performed with homomorphic encryption, and interactive protocols (secure multiparty computation).

James Scheibner, Jean Louis Raisaro, Juan Ramón Troncoso-Pastoriza, Marcello Ienca, Jacques Fellay, Effy Vayena, Jean-Pierre Hubaux

J Med Internet Res 2021;23(2):e25120