COVID-19 and Telehealth: Prevention of Exposure in a Medically Complex Patient With a Mild Presentation.

The novel coronavirus disease-2019 (COVID-19) was declared a pandemic by the World Health Organization on March 11, 2020. We discuss a less common presentation of COVID-19 in a patient where the use of telemedicine technology prevented the exposure of the healthcare team in an academic general pediatrics clinic. A medically complex 20-year-old male presented via virtual visit for unilateral eye redness and discharge.

The role of telemedicine in pediatric critical care.

Telemedicine technologies involve real-time, live, interactive video and audio communication and allow pediatric critical care physicians to have a virtual presence at the bedsides of critically ill children. Telemedicine use is increasing and will be a common in remote emergency departments, inpatient wards, and intensive care units for pediatric care. Hospitals and physicians that use telemedicine technologies provide higher quality of care, are more efficient in resource use with improved cost-effectiveness, and have higher satisfaction among patients, parents, and remote providers.

The impact of telemedicine intensivist support and a pediatric hospitalist program on a community hospital.

Background: Because of centralization of care, pediatric patients often require transfer for subspecialty care. We evaluated the impact of telemedicine critical care consultation and a pediatric hospitalist program on enabling patients to remain at a community hospital.

Patients And Methods: This is a retrospective chart review of pediatric patients at a community hospital receiving critical care consultation from a tertiary children's hospital from January 2006 to October 2009.

Design and implementation of a portable physiologic data acquisition system.

Objective: To describe and report the reliability of a portable, laptop-based, real-time, continuous physiologic data acquisition system (PDAS) that allows for synchronous recording of physiologic data, clinical events, and event markers at the bedside for physiologic research studies in the intensive care unit.

Design: Descriptive report of new research technology.

Setting: Adult and pediatric intensive care units in three tertiary care academic hospitals.

An automatic beat detection algorithm for pressure signals.

Beat detection algorithms have many clinical applications including pulse oximetry, cardiac arrhythmia detection, and cardiac output monitoring. Most of these algorithms have been developed by medical device companies and are proprietary. Thus, researchers who wish to investigate pulse contour analysis must rely on manual annotations or develop their own algorithms.

A novel algorithm to estimate the pulse pressure variation index deltaPP.

We designed a new methodology to estimate the pulse pressure variation index (deltaPP) in arterial blood pressure (ABP). The method uses automatic detection algorithms, kernel smoothing, and rank-order filters to continuously estimate deltaPP. The technique can be used to estimate deltaPP from ABP alone, eliminating the need for simultaneously acquiring airway pressure.

Physiologic data acquisition system and database for the study of disease dynamics in the intensive care unit.

Objective: To describe a real-time, continuous physiologic data acquisition system for the study of disease dynamics in the intensive care unit.

Design: Descriptive report.

Setting: A 16-bed pediatric intensive care unit in a tertiary care children's hospital.

Update on intensive care ECG and cardiac event monitoring.

This brief review is aimed primarily as a resource for the clinician and summarizes recent advancements in electrocardiographic monitoring in the intensive care unit. Emphasis is placed on recent advances in ICU ECG and cardiac event monitoring with particular attention to arrhythmia detection in patients following myocardial infarction. Specific topics addressed include: clinical indicators of impending arrhythmic events and sudden death, signal averaged ECG, QT dispersion, ST segment fluctuation, T-wave alternans, QT interval beat-to-beat variability, heart rate variability, and advances in automated arrhythmia detection.