Modern health information systems can generate several exabytes of patient data, the so
called 'health big data', per year. Many health managers and experts believe that with the …

Objective This article proposes a framework to support the scientific research of standards
so that they can be better measured, evaluated, and designed. Methods Beginning with the …

The Internet of Things (IoT) emerges as a myriad of devices and services that interact to
build complex distributed applications. Interoperability and standardization are imperative …

摘要随着区域医疗, 移动医疗, 转化医学等新兴技术的应用和发展, 电子病历,
电子健康档案及转化基因等数据都呈现出爆炸式增长. 为了将医疗服务信任问题渗透到人与医疗 …

Healthcare systems around the world are in rapid transition, moving from traditional, paper-
based practices to computerized processes and systems based approaches to service …

Healthcare systems are very complex due to extreme heterogeneity in their data and
processes. Researchers and practitioner need to make systems interoperable and integrate …

Data in the healthcare industry and machine learning techniques is useful to analyse a huge
amount of data to identify the hidden patterns in the disease, to give personalised treatment …

Implementation of Electronic Health Record (EHR) has become essential towards delivery of
standardized healthcare services, particularly in developing nations. Legacy hospital …

The current study focuses on the disciplines of ISF researches. The various analyses have
employed to address research discipline of Management Information Systems (MIS). Since …

Diabetes is the sixth chronic disease causing death all over the world. The early diagnosis of
diabetes is a critical step in diabetes care process. Clinical decision support system (CDSS) …