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Estimation method for distance cost to access medical services: Policy and patient privacy implications in Taiwan [PDF]

open access: yesFrontiers in Public Health, 2022
IntroductionIndicators of healthcare access with high reliability, validity, timeliness, and easy application can aid in an understanding of the supply and demand of a region's medical resources and assist governments in allocating resources more ...
Siao-Jing Guo   +3 more
doaj   +2 more sources

Artificial intelligence ethics in precision oncology: balancing advancements in technology with patient privacy and autonomy [PDF]

open access: yesExploration of Targeted Anti-tumor Therapy, 2023
Precision oncology is a rapidly evolving field that uses advanced technologies to deliver personalized cancer care based on a patient’s unique genetic and clinical profile.
Bahareh Farasati Far
doaj   +2 more sources

The Relationship Between Nurses' Spiritual Well‐Being and Patient Privacy: A Cross‐Sectional Study [PDF]

open access: yesNursing Open
Aim This study aimed to examine the relationship between nurses' levels of spiritual well‐being and their status of observing patient privacy. Design A descriptive and cross‐sectional study was conducted.
Serpil Su, Ayşe Kacaroğlu Vicdan
doaj   +2 more sources

Awareness of radiology staff in Saudi Arabia regarding patient privacy, ethical, and legal implications of sharing medical imaging on online platforms [PDF]

open access: yesFrontiers in Medicine
BackgroundThe digitization of radiology through online platforms has introduced significant challenges in maintaining patient privacy and complying with ethical and legal standards, particularly in Saudi Arabia’s rapidly evolving healthcare system.AimTo ...
Wejdan M. Arif
doaj   +2 more sources

Protecting patient privacy in survival analyses. [PDF]

open access: yesJ Am Med Inform Assoc, 2020
AbstractObjectiveSurvival analysis is the cornerstone of many healthcare applications in which the “survival” probability (eg, time free from a certain disease, time to death) of a group of patients is computed to guide clinical decisions. It is widely used in biomedical research and healthcare applications.
Bonomi L, Jiang X, Ohno-Machado L.
europepmc   +5 more sources

Mediating effect of moral sensitivity in the relationship between mental workload and patient privacy protection among operating room nurses in China: a cross-sectional study [PDF]

open access: yesFrontiers in Medicine
BackgroundPatient privacy protection is a fundamental ethical obligation in healthcare, particularly in operating rooms where anesthesia and complex surgical procedures increase patients’ vulnerability.
Ruyi Tan   +6 more
doaj   +2 more sources

Safeguarding patient privacy in eHealth systems: Bridging theory and practice through a scoping review and healthcare survey. [PDF]

open access: yesPLOS Digital Health
The integration of eHealth technologies in hospitals has transformed patient care while raising privacy concerns. To address the latter, this paper combines a scoping review with a survey of healthcare professionals to examine both theoretical and ...
Michael Winter   +5 more
doaj   +2 more sources

Implementation of patient pagers in radiation oncology waiting rooms for patient privacy and satisfaction [PDF]

open access: yesBMC Research Notes, 2018
Objective In order to improve privacy, quality, and coordination of care, a patient pager system was introduced to notify patients of daily treatment in the Department of Radiation Oncology.
Tasneem Kaleem   +5 more
doaj   +2 more sources

An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks

open access: yesSensors, 2021
Recent research in computer vision has shown that original images used for training of deep learning models can be reconstructed using so-called inversion attacks.
Nagesh Subbanna   +3 more
doaj   +1 more source

Federated Learning in Ocular Imaging: Current Progress and Future Direction

open access: yesDiagnostics, 2022
Advances in artificial intelligence deep learning (DL) have made tremendous impacts on the field of ocular imaging over the last few years. Specifically, DL has been utilised to detect and classify various ocular diseases on retinal photographs, optical ...
Truong X. Nguyen   +6 more
doaj   +1 more source

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