Changes in policy, the alignment of incentives, and heavier adoption of data sharing protocols have influenced provider implementation of electronic health records (EHR). With increased financial risk-sharing, more fixed budgets and a focus on value-based care, it is critical to use data to address the social determinants of health.
With the healthcare industry shifting from the fee-for-service model toward pay-for-performance value-based care, it is critical to begin understanding patients, the care they receive from your organization, and the social determinants they face at a deeper level than ever.
If you help make decisions about which vendors your business hires, then you should be familiar with Gartner’s Magic Quadrant. Magic Quadrants offer one-to-one vendor comparisons outlining strengths and cautions for each, as well as insights into overall market status.
Continuing our Tableau learning series (click here to start from the beginning), you've created a view of your data broken down by some basic categories and sub-categories. You are starting to get somewhere, but that is a lot of data to sort through. You need to easily find interesting data points and focus on specific results. Well, Tableau has some great options for that!
Continuing the theoretical request from the last blog, imagine your manager asked you to look into the overall sales and profitability for the company and to identify key areas for improvement. You have a bunch of data loaded into Tableau and you’ve set out to identify key areas for improvement, but you aren’t sure where to start.
Imagine your manager asked you to look into the overall sales and profitability for the company and to identify key areas for improvement. You have a bunch of data, but you aren’t sure where to start. Here’s how to get your data loaded into Tableau so you can begin searching for valuable insights.
Now that you’ve spent some time with visualizations and customizing your reports, the most important step is sharing with your team. Power BI offers several customizable ways to share and collaborate on your reports.
You’ve got your sources loaded and have started building visuals and exploring your data in Microsoft Power BI. Now it’s time to take your data analysis to the next level and start looking at your data with fresh perspectives.
Visualizing your data is a powerful way to discover new insights and relationships. With data visualization, you can digest huge amounts of data to discover hidden links and opportunities, especially those that don’t stand out in lists and spreadsheets.
Power BI can not only import data from a variety of sources, it can also help with cleaning and formatting the data it pulls. But how easy is it to do this?