11 research outputs found
Symposium - Preparing for Success: Readiness Models for Rural Telehealth
Background: Readiness is an integral and preliminary step in the
successful implementation of telehealth services into existing health
systems within rural communities. Methods and Materials: This paper
details and critiques published international peer-reviewed studies
that have focused on assessing telehealth readiness for rural and
remote health. Background specific to readiness and change theories is
provided, followed by a critique of identified telehealth readiness
models, including a commentary on their readiness assessment tools.
Results: Four current readiness models resulted from the search
process. The four models varied across settings, such as rural
outpatient practices, hospice programs, rural communities, as well as
government agencies, national associations, and organizations. All
models provided frameworks for readiness tools. Two specifically
provided a mechanism by which communities could be categorized by their
level of telehealth readiness. Discussion: Common themes across models
included: an appreciation of practice context, strong leadership, and a
perceived need to improve practice. Broad dissemination of these
telehealth readiness models and tools is necessary to promote awareness
and assessment of readiness. This will significantly aid organizations
to facilitate the implementation of telehealth
Reliability and feasibility of registered nurses conducting web‐based surgical site infection surveillance in the community: A prospective cohort study
Water-in-Silicone Oil Emulsion Stabilizing Surfactants Formed From Native Albumin and α,ω-Triethoxysilylpropyl-Polydimethylsiloxane
Dielectric Studies of Hydrogen Bonded Association Complexes—Butanols with Aniline and Pyridine
Scheduling Algorithm to Select Optimal Programme Slots in Television Channels: A Graph Theoretic Approach
From Topology to Phenotype in Protein–Protein Interaction Networks
We have recently witnessed an explosion in biological network data along with the development of computational approaches for their analyses. This new interdisciplinary research area is an integral part of systems biology, promising to provide new insights into organizational principles of life, as well as into evolution and disease. However, there is a danger that the area might become hindered by several emerging issues. In particular, there is typically a weak link between biological and computational scientists, resulting in the use of simple computational techniques of limited potential to explain these complex biological data. Hence, there is a danger that the community might view the topological features of network data as mere statistics, ignoring the value of the information contained in these data. This might result in the imposition of scientific doctrines, such as scale-free-centric (on the modelling side) and genome-centric (on the biological side) opinions onto this nascent research area. In this chapter, we take a network science perspective and present a brief, high-level overview of the area, commenting on possible challenges ahead. We focus on protein-protein interaction networks (PINs) in which nodes correspond to proteins in a cell and edges to physical bindings between the proteins. © 2010 Springer-Verlag London Limited