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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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COVID-19 and the Financial Storm Ahead for Providers
Across the country, healthcare organizations are seeing 40%-80% declines in monthly charges with some of the most profitable services lines only seeing 20% of their normal monthly volumes during the pandemic.
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