The impact of a professional development workshop on healthcare professionals' knowledge and readiness to use telehealth etiquette in virtual care.

Introduction: Telehealth is a growing part of the healthcare field, and healthcare professionals and trainees require training not only on the clinical skills relevant to telehealth but also on professionalism skills or telehealth etiquette. As healthcare outcomes are influenced by the patient-provider relationship, training healthcare professionals on telehealth etiquette skills is imperative.

Methods: Forty-eight healthcare professionals across different disciplines, work settings, and experience levels participated in a telehealth etiquette skills educational intervention workshop wherein their knowledge and readiness to use the skills (specific to technology, environment, confidentiality, and communication) were assessed before and after the workshop.

Development and validation of the Telehealth Etiquette Competency Checklist: A Delphi study.

Background: Providing telehealth care requires unique professionalism skills (i.e. telehealth etiquette) to ensure patients have a positive experience.

Impact of medical technologies may be predicted using constructed graph bibliometrics.

Scientific research is driven by allocation of funding to different research projects based in part on the predicted scientific impact of the work. Data-driven algorithms can inform decision-making of scarce funding resources by identifying likely high-impact studies using bibliometrics. Compared to standardized citation-based metrics alone, we utilize a machine learning pipeline that analyzes high-dimensional relationships among a range of bibliometric features to improve the accuracy of predicting high-impact research.

Complex decision making in an intensive care environment: Perceived practice versus observed reality.

Rationale: Advancing our understanding of how decisions are made in cognitively, socially and technologically complex hospital environments may reveal opportunities to improve healthcare delivery, medical education and the experience of patients, families and clinicians.

Aims And Objectives: Explore factors impacting clinician decision making in the Boston Children's Hospital Cardiac Intensive Care Unit.

Methods: A convergent mixed methods design was used.

The partial merger of two dolphin societies.

Interactions between mammalian social groups are generally antagonistic as individuals in groups cooperate to defend resources from non-members. Members of the family Delphinidae inhabit a three-dimensional habitat where resource defence is usually impractical. Here, we describe a long-term partial fusion of two communities of Atlantic spotted dolphins ().

Using social network analysis to confirm the 'gambit of the group' hypothesis for a small cetacean.

Social network analysis (SNA) can be used to explore a population's social structure and how individuals contribute to social cohesion. Quantifying relationships between individuals in a network can vary depending on the data available or the relationship of interest. Studies of readily visible species can use direct interaction measures in SNA, while studies of cryptic species usually rely on the 'gambit of the group'; individuals observed in a group are considered associates.