Implementation of App-Based Diabetes Medication Management: Outpatient and Perioperative Clinical Decision Support.

Purpose Of Review: Outpatient and perioperative therapeutic decision making for patients with diabetes involves increasingly complex medical-decision making due to rapid advances in knowledge and treatment modalities. We sought to review mobile decision support tools available to clinicians for this essential and increasingly difficult task, and to highlight the development and implementation of novel mobile applications for these purposes.

Recent Findings: We found 211 mobile applications related to diabetes from the search, but only five were found to provide clinical decision support for outpatient diabetes management and none for perioperative decision support.

A multifaceted quality improvement project improves intraoperative redosing of surgical antimicrobial prophylaxis during pediatric surgery.

Background: Accurate intraoperative antibiotic redosing contributes to prevention of surgical site infections in pediatric patients. Ensuring compliance with evolving national guidelines of weight-based, intraoperative redosing of antibiotics is challenging to pediatric anesthesiologists.

Aims: Our primary aim was to increase compliance of antibiotic redoses at the appropriate time and appropriate weight-based dose to 70%.

Feasibility and indicator outcomes using computerized clinical decision support in pediatric traumatic brain injury anesthesia care.

Background: Traumatic brain injury anesthesia care is complex. The use of clinical decision support to improve pediatric trauma care has not been examined.

Aims: The aim of this study was to examine feasibility, reliability, and key performance indicators for traumatic brain injury anesthesia care using clinical decision support.

Development and Feasibility of a Real-Time Clinical Decision Support System for Traumatic Brain Injury Anesthesia Care.

Background: Real-time clinical decision support (CDS) integrated with anesthesia information management systems (AIMS) can generate point of care reminders to improve quality of care.

Objective: To develop, implement and evaluate a real-time clinical decision support system for anesthetic management of pediatric traumatic brain injury (TBI) patients undergoing urgent neurosurgery.

Methods: We iteratively developed a CDS system for pediatric TBI patients undergoing urgent neurosurgery.

Simulating ventilation distribution in heterogenous lung injury using a binary tree data structure.

To determine the impact of mechanical heterogeneity on the distribution of regional flows and pressures in the injured lung, we developed an anatomic model of the canine lung comprised of an asymmetric branching airway network, which can be stored as binary tree data structure. The entire tree can be traversed using a recursive flow divider algorithm, allowing for efficient computation of acinar flow and pressure distributions in a mechanically heterogeneous lung. These distributions were found to be highly dependent on ventilation frequency and the heterogeneity of tissue elastances, reflecting the preferential distribution of ventilation to areas of lower regional impedance.

Focusing microparticles in a microfluidic channel with standing surface acoustic waves (SSAW).

We introduce a novel on-chip microparticle focusing technique using standing surface acoustic waves (SSAW). Our method is simple, fast, dilution-free, and applicable to virtually any type of microparticle.