In fact, today there are online communities for patients with every known condition.Īs a result of this constantly growing awareness, more and more patients are insisting on having a voice in their own care, rather than being dictated to by physicians or other caregivers. (Never was the old axiom “information is power” truer.) And with the rise of social media sites, a range of patient communities has formed.
With the advent of sites like WebMD and Everyday Health, consumers suddenly had access to a universe of information about every medical condition imaginable. This changing geography in healthcare, of course, follows on the heels of similar changes in industries like travel, retail and banking…but in healthcare the consumer-driven revolution has been particularly dramatic. The Voice of the Patient Reverberating Across the IndustryĪn industry that was slow to understand and respond to the changing needs of the consumer now employs the most up-to-date tools and methodologies to harvest and interpret consumer insights. That, of course, has created a challenging situation for insights professionals as they work to help clients understand the changing needs of healthcare consumers. Post-ACA (Affordable Care Act), ad agencies, consultancies and health-related companies of every kind are struggling to understand an environment where change is a constant.
It would be hard to point to an industry that has experienced more change than healthcare. Steve Orlick of Toluna offers an important perspective on how the changing landscape of healthcare in the US affects the ways in which industry gathers and uses insights from both patients and healthcare providers. In conclusion, comparative analysis of mitochondrial genomes could be used to identify differences in gene organization, accurate phylogenetic analysis and clustering of different types of silkworms.Editor’s Intro: While the market research industry is being forced to change across many industries, healthcare presents many unique challenges. In terms of protein coding genes, COX1, COX2 and COX3 showed the most obvious differences. In phylogenetic analysis of complete mitochondrial genomes, the Bombyx mori fell in a same cluster with Bombyx mandarina and showed the most similarity (96.7%). The effective number of codons (ENC) revealed the CUB was low among genes and genomes. Parity plot analysis revealed both natural selection and mutation pressure influenced CUB of mitochondrial genes while neutrality plot analysis suggested that role of natural selection was higher than mutation pressure.
Relative synonymous CUB analysis revealed most over-represented codon ends with A or T. Nucleotide composition analysis suggested that AT content was higher than GC content and t-test analysis revealed significance difference (p < 0.01) between AT and GC content. This study was performed to identify codon usage bias (CUB), genetic similarity and phylogenetic analysis of complete mitochondrial genomes along with separate sequences of 13 protein coding genes per each genome from five types of silkworm including Bombyx mori, Bombyx mandarina, Samia cynthia ricini, Antheraea pernyi and Antheraea assama.
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