Rosslyn Elliott

Case study for B2B SAAS company highlighting the success of one of their partners. I wrote this piece, though it is bylined with the name of one of the staff members who worked on the project.

White Paper/Report: These four maps show the rising risk to healthcare access in rural America. Is telemedicine the answer?

"The question is, why aren’t we more focused on medication management? And the answer is that health care tends to focus on the wolf closest to the sled. So, if there are eight wolves gathered around the sled, we’re not focusing on the wolf that’s off in the woods.” Daniel Barchi, CIO, New York-Presbyterian

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on using algorithms against large data sets. ML can “learn” from a data set to improve its own analysis without the need for additional programmer input of new analytical rules. As the healthcare industry searches for solutions to analyze and apply the vast amount of data collected through electronic health records (EHRs), ML is a natural choice to successfully deploy that data. The power of ML can transform the quality and accuracy of healthcare, but first, industry leaders must address the challenges that accompany implementation and oversight.

I was part of the team that interviewed and selected our organization's marketing consultant, and I drafted this RFQ to start the process.

The Central Arkansas Library System embraces a mission to be a model for sustainability and alternative energy for the community. By modeling sustainability, the library system will raise public awareness of the crucial balance that must be maintained in our ecosystem, as well as the ways in which human beings can make both positive and negative impacts on the natural world.

I was the editor and language drafter for this web design proposal. I took the team's technical language and rewrote it to make it accessible and engaging for laypeople.