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Digital healthcare systems are very popular lately, as they provide a variety of helpful means to monitor people's health state as well as to protect people against an unexpected health situation. These systems contain a huge amount of…

密码学与安全 · 计算机科学 2019-08-28 Ngoc Hong Tran , Thien-An Nguyen-Ngoc , Nhien-An Le-Khac , M-Tahar Kechadi

Increasing demand for secure remote operation in industry and technology advancements to support delivering efficient services and tele-mentoring have opened a new market in healthcare sector and emergency services based on 5G and Tactile…

网络与互联网体系结构 · 计算机科学 2020-04-29 Mona Ghassemian , Max Smith-Creasey , Maziar Nekovee

Electronic Health Records (EHR) serve as a valuable source of patient information, offering insights into medical histories, treatments, and outcomes. Previous research has developed systems for detecting applicable ICD codes that should be…

计算与语言 · 计算机科学 2024-07-09 Mireia Hernandez Caralt , Clarence Boon Liang Ng , Marek Rei

Several recent works have proposed and implemented cryptography as a means to preserve privacy and security of patients health data. Nevertheless, the weakest point of electronic health record (EHR) systems that relied on these…

计算机与社会 · 计算机科学 2017-08-09 Adebayo Omotosho , Justice Emuoyibofarhe , Christoph Meinel

This manuscript explores linking real-world patient data with external death data in the context of research Clinical Data Warehouses (r-CDWs). We specifically present the linking of Electronic Health Records (EHR) data for Stanford Health…

数据库 · 计算机科学 2022-11-04 Alvaro Andres Alvarez Peralta , Priya Desai , Somalee Datta

Electronic health record (EHR) foundation models have been an area ripe for exploration with their improved performance in various medical tasks. Despite the rapid advances, there exists a fundamental limitation: Processing unseen medical…

人工智能 · 计算机科学 2025-08-15 Junmo Kim , Namkyeong Lee , Jiwon Kim , Kwangsoo Kim

In an era driven by information exchange, transparency and security hold crucial importance, particularly within the healthcare industry, where data integrity and confidentiality are paramount. This paper investigates the integration of…

软件工程 · 计算机科学 2024-10-08 Oliver Simonoski , Dijana Capeska Bogatinoska

With the widespread of machine learning models for healthcare applications, there is increased interest in building applications for personalized medicine. Despite the plethora of proposed research for personalized medicine, very few focus…

机器学习 · 计算机科学 2024-02-27 Ghadeer O. Ghosheh , Jin Li , Tingting Zhu

We describe an innovative framework for prescription of personalised health apps by integrating Personal Health Records (PHR) with disease-specific mobile applications for managing medical conditions and the communication with clinical…

计算机与社会 · 计算机科学 2017-06-30 Venet Osmani , Stefano Forti , Oscar Mayora , Diego Conforti

The efficiency and service quality in a medical environment can be improved by using electronic documents (or e-docs) and digital signatures to speed up both doctors' activity and to provide in the same time easy retrieval and use of needed…

密码学与安全 · 计算机科学 2019-10-22 Diana Berbecaru , Antonio Lioy , Marius Marian , Diana Marano

Despite the growing attention of researcher, healthcare managers and policy makers, data gathering and information management practices are largely untheorized areas. In this work are presented and discussed some early-stage…

计算机与社会 · 计算机科学 2019-04-02 Enrico Maria Piras

Standardisation of healthcare has been the focus of hospital management and clinicians since the 1990's. Electronic health records were already intended to provide clinicians with real-time access to clinical knowledge and care plans while…

计算机与社会 · 计算机科学 2020-04-13 Scott McLachlan

Electronic health records (EHRs) contain vast amounts of complex data, but harmonizing and processing this information remains a challenging and costly task requiring significant clinical expertise. While large language models (LLMs) have…

计算与语言 · 计算机科学 2024-07-02 João Matos , Jack Gallifant , Jian Pei , A. Ian Wong

With the arrival of the big data era, more and more data are becoming readily available in various real-world applications and those data are usually highly heterogeneous. Taking computational medicine as an example, we have both Electronic…

机器学习 · 计算机科学 2019-05-08 Xi Sheryl Zhang , Jingyuan Chou , Fei Wang

The widespread adoption of electronic health records (EHRs) enables the acquisition of heterogeneous clinical data, spanning lab tests, vital signs, medications, and procedures, which offer transformative potential for artificial…

信号处理 · 电气工程与系统科学 2026-03-17 Mingcheng Zhu , Yu Liu , Zhiyao Luo , Tingting Zhu

The promise of AI in medicine depends on learning from data that reflect what matters to patients and clinicians. Most existing models are trained on electronic health records (EHRs), which capture biological measures but rarely…

The robust development of Electronic Health Records (EHRs) causes a significant growth in sharing EHRs for clinical research. However, such a sharing makes it difficult to protect patient's privacy. A number of automated de-identification…

密码学与安全 · 计算机科学 2012-11-19 Jie Qian , Nafees Qamar

Technology has evolved over the years, making our lives easier. It has impacted the healthcare sector, increasing the average life expectancy of human beings. Still, there are gaps that remain unaddressed. There is a lack of transparency in…

密码学与安全 · 计算机科学 2022-09-27 Debendranath Das

Digital healthcare systems have revolutionized medical services, facilitating provider collaboration, enhancing diagnosis, and optimizing and improving treatments. They deliver superior quality, faster, reliable, and cost-effective…

密码学与安全 · 计算机科学 2024-12-16 Md Al Amin , Hemanth Tummala , Rushabh Shah , Indrajit Ray

The global Electronic Health Record (EHR) market is growing dramatically and expected to reach $39.7 billions by 2022. To safe-guard security and privacy of EHR, access control is an essential mechanism for managing EHR data. This paper…

密码学与安全 · 计算机科学 2019-06-05 Hao Guo , Wanxin Li , Mark Nejad , Chien-Chung Shen