Background The evolving concepts of pervasive computing, ubiquitous computing and
ambient intelligence are increasingly influencing health care and medicine. Summarizing …

Background The healthcare scenario in developed countries is changing deeply: patients,
who are frequently affected by multi-pathological chronic conditions, have risen their …

Background In patients with chronic disease, many health care professionals are involved
during treatment and follow-up. This leads to fragmentation that in turn may lead to …

Background Increasing use is being made of routinely collected electronic patient data in
health services research. The aim of the present study was to evaluate the potential …

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 …

Ricardo João Cruz-Correia, Pedro Pereira Rodrigues, Alberto Freitas, Filipa Canario
Almeida, Rong Chen, and Altamiro Costa-PereiraThirty years ago, Komaroff [1] warned that …

Federated Learning is a distributed machine learning approach that enables geographically
distributed data silos to collaboratively learn a joint machine learning model without sharing …

BACKGROUND: The ideal scenario for information technology to bridge information gaps
between primary and secondary healthcare and to improve the quality of healthcare in the …

PURPOSE: The purpose of this study was to evaluate the functionality of eKidney as a
structured reporting tool in operative note generation. To do this, we compared …

Background Clinical models in electronic health records are typically expressed as
templates which support the multiple clinical workflows in which the system is used. The …