The rapidly expanding field of big data analytics has started to play a pivotal role in the
evolution of healthcare practices and research. It has provided tools to accumulate, manage …

A 60-year-old woman is brought to the emergency department following an out-of-hospital
cardiac arrest with non-shockable rhythm. Return of spontaneous circulation was achieved …

After reading this chapter, you should be able to answer these questions 1. What is patient
monitoring, and why is it used? 2. What patient parameters do bedside physiological …

Objective: Storage of physiological waveform data for retrospective analysis presents
significant challenges. Resultant data can be very large, and therefore becomes expensive …

Our goal is to use automatic data monitoring for reliable prediction of episodes of intracranial
hypertension in patients with traumatic brain injury. Here we test the validity of our method …

Objective: Our objective was to construct a prospective high-quality and high-frequency
database combining patient therapeutics and clinical variables in real time, automatically fed …

This chapter introduces and reviews electronic health record (EHR) systems as essential
core health information technology (IT). It describes current and potential future EHR …

The amount of long-term, multichannel ICU patient data that could potentially be archived
and analyzed continues to mushroom with the growth of high-volume data acquisition and …

Data analytics is crucial in health services, supporting healthcare delivery, research, and
decision-making. This article provides an overview of data analytics's benefits, challenges …

As a result of innovations in informatics over the last decades, physiologic models
elaborated in the second half of the 20th century could be transformed into specific virtual …