How can health care organizations proactively help the public to better understand their personal and family risk for cancer and encourage them to seek genetic testing? In 2015, HudsonAlpha Institute for Biotechnology—a nonprofit organization dedicated to advancing genomic technology and sciences—launched its "Information is Power" genetic testing campaign.
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"All truth passes through three stages. First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as being self-evident." For healthcare strategists today, this quote from the German philosopher Arthur Schopenhauer reflects the relationship between skepticism and the process of collecting, analyzing, and interpreting data as a means to better decision making.
How can a health system develop optimal new wellness programs tailored specifically to its unique market? That's the challenge Fairview Health Services, headquartered in Minneapolis, Minnesota, faced in 2015 as part of its strategy to develop new services that would meet the needs of the community, generate new sources of revenue in a retail delivery model, and extend its presence in Minnesota and the upper Midwest.
How to utilize data to improve organizational decision making. Today, the volume of raw data a healthcare organization collects can be overwhelming. In fact, it is estimated that 90 percent of all the data in existence today was created in the last two years. The challenge for healthcare strategists is to figure out ways to make sense of all this information. But how?
Customer relationship management (CRM) is a hot topic in healthcare marketing. From conferences to webinars to white papers, everyone seems to be jumping on the CRM bandwagon. And for every hospital or health system that doesn't have CRM, there seems to be another that underutilizes its existing CRM echnology. In an increasingly complex world of digital marketing channels, propensity modeling, and targeted analytics, a back-to-basics approach to CRM will help most organizations make sense of this ambiguous acronym.