We consider an integrated patient monitoring system, combining electronic patient records
with high-rate acquisition of patient physiological data. There remain many challenges in …

There are several types of decision support systems based on the application environment
(Table 1). Data-driven systems can translate raw data and numbers into meaningful …

Objectives Predictive models for critical events in the intensive care unit (ICU) might help
providers anticipate patient deterioration. At the heart of predictive model development lies …

The complexity and amount of medical information and data keeps increasing, which makes
it difficult to maintain the same quality of care in the Intensive Care Unit, without significant …

Objectives: This paper addresses the design of a platform for the management of medical
decision data in the ICU. Whenever new medical data from laboratories or monitors is …

What started in 1967 as a computerized system to help monitor patients following open heart
surgery has now dramatically matured [1, 2]. Starting with'homemade'storage tube terminals …

Abstract The Intensive Care Unit (ICU) is a complex and technologically advanced
healthcare setting. Technologies enable continuous monitoring through patient signals that …

The process of how laboratory tests are made and the results are delivered is very important
to the decision making process in medicine. This situation is more critical in areas like …

Using evidence-based guidelines to standardize the care of patients with complex medical
problems is a difficult challenge. In acute care settings, such as intensive care units, the …

The diffusion of electronic health records collecting large amount of clinical, monitoring, and
laboratory data produced by intensive care units (ICUs) is the natural terrain for the …