Posts Tagged ‘Payer’
Measuring provider cost and utilization
No matter the time of year, payers and providers should work to agree on a shared source of truth when it comes to data. With the recent end of the year, it’s time to celebrate the new year (who isn’t ready to say goodbye to 2020?) and close the books, which includes the reconciliation of any shared savings or losses.
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Data visualization: A picture is worth a thousand…healthcare data points?
The amount of data produced daily has grown exponentially with nearly 90% of the world’s data generated in the last two years alone. To ensure we can make sense of this data, analysts must find meaningful ways to present the information to their audiences.
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Fall, winter bring cooler weather and HEDIS Season
November brings cooler nights, changing leaves, pumpkin spice EVERYTHING and, of course, the kickoff to HEDIS® season. Amid eating too much turkey and stuffing, many of our Healthcare Quality Assurance colleagues also are entering the HEDIS MY 2020 data submission season.
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Why Enterprise Analytics Should Be More Like A Book, Less Like A Spotify Playlist
People like stories. We like to tell them. We like to read them. Enterprise analytics is the story of a healthcare organization. Just like the chapters in a book, enterprise analytics takes “readers” from the beginning to the end, from chapter to chapter without interruption.
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How to help employer groups plan in a time of uncertainty
Employers and their sponsored health plans are thinking about next year’s benefit designs with a significant challenge not seen before: the effect of the coronavirus pandemic. There are important considerations to take into account before making any decisions about new or existing coverage. Becky Niehus, a director of Product Consulting at MedeAnalytics, explores these new issues and what employers can do to ensure employees are “covered.”
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Healthcare’s return to “normal” after COVID-19: Is it possible?
As providers determine how to get patients to return to facilities for routine disease management and preventive screenings, opportunities are ripe for the application of analytics to triage at the right time to the right setting. Data related to COVID-19 will continue to flow rapidly, but there are possibly more questions than answers now about a return to “normal.”
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Avoid COVID-19 modeling pitfalls by eliminating bias, using good data
COVID-19 models are being used every day to predict the course and short- and long-term impacts of the pandemic. And we’ll be using these COVID-19 models for months to come.
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Population Health Amid the Coronavirus Outbreak
In speaking with many colleagues throughout the provider and payer healthcare community, I’ve found an overwhelming sense of helplessness to the outbreak’s onslaught. This is exacerbated by the constant evolution of reported underlying medical conditions that indicate a higher risk of hospitalization or mortality for a coronavirus patient.
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3 Steps Any Healthcare Organization Can Take to Improve Enterprise Analytics
By Kristin Weir When it comes down to the most basic purpose of why organizations use analytics, it’s simple: they want to uncover insights that help them take the next best step or make the best decision. These healthcare organizations often need, however, all the components of the enterprise analytics story to be able to…
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Why Predictive Analytics is the Answer to Healthcare’s Big Data Problem
By Scott Hampel Making improvements in healthcare data analytics has the potential to lead to significant cost savings and improved patient health and wellness. We’ve identified two ways these improvements can be accomplished: Embrace an enterprise analytics strategy to process vast amounts of healthcare data, rather than historical approaches of stitching together dozens of analytics…
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