An overview of clinical decision support systems: benefits, risks, and strategies for success

RT Sutton, D Pincock, DC Baumgart… - NPJ digital …, 2020 - nature.com
Computerized clinical decision support systems, or CDSS, represent a paradigm shift in
healthcare today. CDSS are used to augment clinicians in their complex decision-making …

Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review

O Ali, A Shrestha, J Soar, SF Wamba - International Journal of Information …, 2018 - Elsevier
Cloud computing offers an innovative method of delivering IT services efficiently. Extant
literature suggests that cloud technology can enhance the level of services in various …

A blockchain-based medical data sharing and protection scheme

X Liu, Z Wang, C **, F Li, G Li - IEEE Access, 2019 - ieeexplore.ieee.org
Electronic health record (EHR) has recorded the process of occurrence, development, and
treatment of diseases. So it has high medical value. Owing to the private and sensitive …

[HTML][HTML] Tamper-resistant mobile health using blockchain technology

D Ichikawa, M Kashiyama, T Ueno - JMIR mHealth and uHealth, 2017 - mhealth.jmir.org
Background: Digital health technologies, including telemedicine, mobile health (mHealth),
and remote monitoring, are playing a greater role in medical practice. Safe and accurate …

Smartphones let surgeons know WhatsApp: an analysis of communication in emergency surgical teams

MJ Johnston, D King, S Arora, N Behar… - The American Journal of …, 2015 - Elsevier
Background Outdated communication technologies in healthcare can place patient safety at
risk. This study aimed to evaluate implementation of the WhatsApp messaging service within …

A sco** review of cloud computing in healthcare

L Griebel, HU Prokosch, F Köpcke… - BMC medical informatics …, 2015 - Springer
Background Cloud computing is a recent and fast growing area of development in
healthcare. Ubiquitous, on-demand access to virtually endless resources in combination …

Big data analytics for genomic medicine

KY He, D Ge, MM He - International journal of molecular sciences, 2017 - mdpi.com
Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic
decision-making by utilizing patients' genomic information. Big Data analytics uncovers …

VAULT: Reducing paging overheads in SGX with efficient integrity verification structures

M Taassori, A Shafiee… - Proceedings of the Twenty …, 2018 - dl.acm.org
Intel's SGX offers state-of-the-art security features, including confidentiality, integrity, and
authentication (CIA) when accessing sensitive pages in memory. Sensitive pages are …

Recent advances in deep learning and medical imaging for head and neck cancer treatment: MRI, CT, and PET scans

M Illimoottil, D Ginat - Cancers, 2023 - mdpi.com
Simple Summary Deep learning techniques have significant potential in head and neck
cancer imaging, particularly in tumor detection, segmentation, and outcome prediction using …

Privacy preservation in e-health cloud: taxonomy, privacy requirements, feasibility analysis, and opportunities

T Kanwal, A Anjum, A Khan - Cluster Computing, 2021 - Springer
Electronic health records (EHRs) are increasingly employed to maintain, store and share
varied types of patient data. The data can also be utilized for various research purposes …