Large-Scale Telemedicine Implementation for Outpatient Clinicians: Results From a Pandemic-Adapted Learning Collaborative.

Learning collaboratives are seldom used outside of health care quality improvement. We describe a condensed, 10-week learning collaborative ("Telemedicine Hack") that facilitated telemedicine implementation for outpatient clinicians early in the COVID-19 pandemic. Live attendance averaged 1688 participants per session.

Longitudinal stream synoptic monitoring tracks chemicals along watershed continuums: a typology of trends.

There are challenges in monitoring and managing water quality due to spatial and temporal heterogeneity in contaminant sources, transport, and transformations. We demonstrate the importance of longitudinal stream synoptic (LSS) monitoring, which can track combinations of water quality parameters along flowpaths across space and time. Specifically, we analyze longitudinal patterns of chemical mixtures of carbon, nutrients, greenhouse gasses, salts, and metals concentrations along 10 flowpaths draining 1,765 km of the Chesapeake Bay region.

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States.

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https://covid19forecasthub.

COVID-19 infection data encode a dynamic reproduction number in response to policy decisions with secondary wave implications.

The SARS-CoV-2 virus is responsible for the novel coronavirus disease 2019 (COVID-19), which has spread to populations throughout the continental United States. Most state and local governments have adopted some level of "social distancing" policy, but infections have continued to spread despite these efforts. Absent a vaccine, authorities have few other tools by which to mitigate further spread of the virus.

A Qualitative Assessment of Factors That Children, Parents, and Clinicians Prioritize in the Setting of Elective Anesthesia and Surgery.

Background: Assessing the postoperative recovery of pediatric patients is challenging as there is no validated comprehensive patient-centered recovery assessment tool for this population. A qualitative investigative approach with in-depth stakeholder interviews can provide insight into the recovery process and inform the development of a comprehensive patient-centered postoperative assessment tool for children.

Methods: We conducted open-ended, semistructured interviews with children 6-12 years old undergoing elective surgery (n = 35), their parents (n = 37), and clinicians (n = 23) who commonly care for this population (nurses, anesthesiologists, and surgeons).

An Interactive Virtual Reality Tour for Adolescents Receiving Proton Radiation Therapy: Proof-of-Concept Study.

Background: Child life therapists provide patient education for children undergoing radiation therapy to assist in coping with and understanding their treatment.

Objective: This proof-of-concept study aimed to determine the feasibility of incorporating a 360-degree video tour via a virtual reality system for children scheduled to receive radiation therapy. The secondary objective was to qualitatively describe each subject's virtual reality experience.

Visual analytical tool for evaluation of 10-year perioperative transfusion practice at a children's hospital.

Children are a vulnerable population in the operating room, and are particularly at risk of complications from unanticipated hemorrhage. The decision to prepare blood products prior to surgery varies depending on the personal experience of the clinician caring for the patient. We present the first application of a data visualization technique to study large datasets in the context of blood product transfusions at a tertiary pediatric hospital.