ABSTRACT
The virtual care landscape is significantly changing, largely due to an increased demand initiated by the COVID-19 pandemic and the evolution of technology. Complex questions about how to best leverage virtual care and its impact remain unanswered. Our team developed a systems-level evaluation framework to inform virtual care service design and evaluation to take a more comprehensive approach to planning and implementing virtual care. We designed the framework for application in Alberta Health Services (AHS) by engaging virtual care users (patients, families and healthcare providers), implementation staff and decision makers across the organization. Here we report our design process and key lessons learned. The framework received endorsement by AHS senior leadership for application across the system. Our next step is to test the framework. By sharing our design process and experiences, we aim to help inform other national and international jurisdictions plan virtual care evaluations within their context.
Subject(s)
COVID-19 , Pandemics , Humans , COVID-19/epidemiology , AlbertaABSTRACT
Cancers arise owing to mutations in a subset of genes that confer growth advantage. The availability of the human genome sequence led us to propose that systematic resequencing of cancer genomes for mutations would lead to the discovery of many additional cancer genes. Here we report more than 1,000 somatic mutations found in 274 megabases (Mb) of DNA corresponding to the coding exons of 518 protein kinase genes in 210 diverse human cancers. There was substantial variation in the number and pattern of mutations in individual cancers reflecting different exposures, DNA repair defects and cellular origins. Most somatic mutations are likely to be 'passengers' that do not contribute to oncogenesis. However, there was evidence for 'driver' mutations contributing to the development of the cancers studied in approximately 120 genes. Systematic sequencing of cancer genomes therefore reveals the evolutionary diversity of cancers and implicates a larger repertoire of cancer genes than previously anticipated.