Objective There is a need to integrate the various theoretical frameworks and formalisms for
modeling clinical guidelines, workflows, and pathways, in order to move beyond providing …

Artifact detection (AD) techniques minimize the impact of artifacts on physiologic data
acquired in critical care units (CCU) by assessing quality of data prior to clinical event …

One problem pertaining to Intensive Care Unit information systems is that, in some cases, a
very dense display of data can result. To ensure the overview and readability of the …

Until now, the creation of massive (long-term and multichannel) waveform databases in
intensive care required an interdisciplinary team of clinicians, engineers and informaticians …

Objective We propose the use of a formal approach to support content validation of a
standard operating procedure (SOP) for a therapeutic intervention. Such an approach …

Objective Develop an efficient non-clinical method for identifying promising computer-based
protocols for clinical study. An in silico comparison can provide information that informs the …

Background: We propose a methodology to analyze complex real-life glucose data in insulin
pump users. Methods: Patients with type 1 diabetes (T1D) on insulin pumps were recruited …

The task of comparing and evaluating the performance of different computer-based clinical
protocols is difficult and expensive to accomplish. This dissertation explores methods to …

ABSTRACT Type 1 diabetes (T1D) is a chronic disease that affects 1.25 million people in the
United States. There is no known cure and patients must self-manage the disease to avoid …

Artifact detection (AD) is a critical component of Clinical Decision Support Systems (CDSS)
to assess the quality of data and issue clinical alarms with high specificity and low false …