Privacy-Preserving Exploration of Genetic Cohorts with i2b2 At Lausanne University Hospital

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Amyloidosis refers to a range of medical conditions in which misshapen proteins accumulate in various organs and tissues, forming insoluble fibrils. Cardiac amyloidosis is frequently linked to the buildup of misfolded transthyretin (TTR) or immunoglobulin ...

Limited availability of representative time-to-failure (TTF) trajectories either limits the performance of deep learning (DL)-based approaches on remaining useful life (RUL) prediction in practice or even precludes their application. Generating synthetic d ...

The development of immune checkpoint inhibitors (ICIs) has revolutionized cancer therapy but only a fraction of patients benefits from this therapy. Model-informed drug development can be used to assess prognostic and predictive clinical factors or biomark ...

Background: Increasingly, hospitals and research institutes are developing technical solutions for sharing patient data in a privacy preserving manner. Two of these technical solutions are homomorphic encryption and distributed ledger technology. Homomorph ...

Analyzing and processing data that are siloed and dispersed among multiple distrustful stakeholders is difficult and can even become impossible when the data are sensitive or confidential. Current data-protection and privacy regulations highly restrict the ...

The increasing number of health-data breaches is creating a complicated environment for medical-data sharing and, consequently, for medical progress. Therefore, the development of new solutions that can reassure clinical sites by enabling privacy-preservin ...

Re-use of patients’ health records can provide tremendous benefits for clinical research. Yet, when researchers need to access sensitive/identifying data, such as genomic data, in order to compile cohorts of well-characterized patients for specific studies ...

Medical data are often scattered among multiple clinics, hospitals, insurance companies, pharmacies, and research institutions that store and process personal healthcare information. The use of information and communication technologies for health (eHealth ...

Being able to share large amounts of sensitive clinical and genomic data across several institutions is crucial for precision medicine to scale up. Unfor- tunately, existing solutions only partially address this challenge and are still unable to provide th ...

The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic health records from traditional health systems and patient-generated data. As the two data sources have comp ...

The Swiss Nano-Tera.ch program addresses – among others – issues at the intersection of engineering and medical domains. Specifically, electronic-health (or E-Health) is a broad area of engineering that leverages transducer, circuit and systems technologie ...

Objectives: While electronic health record (EHR) systems have potential to drive improvements in healthcare, a majority of EHR implementations fall short of expectations. Shortcomings in implementations are often due to organizational issues around the imp ...

Given persistent barriers to effective electronic health record (EHR) system implementation and use, the authors investigated implementation training practices in six organizations reputed to have ambulatory care EHR system implementation "best practices." ...

Purpose: Faced with an increasingly complex patient population and growing demand for services, community health centers (CHCs) are recognizing that electronic health records (EHRs) may help their efforts to improve efficiency in care delivery. Yet little ...

A multidisciplinary and shared computerized patient record (CPR) has been progressively implemented since 2002 for all public hospitals in the State of Valais, Switzerland. This paper presents the results of a formal evaluation of user’s satisfaction ...

Privacy-Preserving Exploration of Genetic Cohorts with i2b2 At Lausanne University Hospital

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Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records

Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions

Generating Controlled Physics-Informed Time-to-failure Trajectories for Prognostics in Unseen Operational Conditions

Modeling tumor size dynamics based on real-world electronic health records and image data in advanced melanoma patients receiving immunotherapy

Health data privacy through homomorphic encryption and distributed ledger computing: an ethical-legal qualitative expert assessment study

Privacy-Preserving Federated Analytics using Multiparty Homomorphic Encryption

MedCo: Enabling Secure and Privacy-Preserving Exploration of Distributed Clinical and Genomic Data

Protecting Privacy and Security of Genomic Data in i2b2 with Homomorphic Encryption and Differential Privacy

Privacy - Preserving Data Exchange and Aggregation in Healthcare

MedCo: Enabling Privacy-Conscious Exploration of Distributed Clinical and Genomic Data

Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health

NANO-TERA.CH: Electronic Technology for Health Management

Evidence-based management of ambulatory electronic health record system implementation: An assessment of conceptual support and qualitative evidence

The Role of Cognitive and Learning Theories in Supporting Successful EHR System Implementation Training: A Qualitative Study

Perceived efficiency impacts following electronic health record implementation: An exploratory study of an urban community health center network

Satisfaction des utilisateurs du dossier patient informatisé valaisan