Healthcare providers continue to recognize the value of using AI in reporting operations throughout the organization. AI has many strengths when applied to the healthcare industry:
- Automate routine, repeatable data analysis;
- Create data insights delivered directly to users;
- Build analytics, such as chatbots;
- Posit “what if” scenarios; and
- Identify data clusters, forecasting and anomalies using algorithms.
The final installment of MedeAnalytics President Scott Hampel’s series on the evolution of manual reporting to AI-powered business intelligence is available now. He discusses how AI is the ultimate tool to help healthcare organizations understand and act on their voluminous data.
Get our take on industry trends
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.
Read on...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.
Read on...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.
Read on...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…
Read on...