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Why Net Health Approach to Analytics is Unique
As we reach our final post in this series on predictive analytics in healthcare, I quickly want to mention two things. First—if you’ve been following along the entire journey, thanks! I hope you’ve learned a lot of helpful and meaningful information. Second—if you’re just joining us now, it’s not too late to head back and read […]
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The Must-Have Elements of an Effective AI Healthcare Analytics Solution
As we continue our discussion on artificial intelligence (AI) and machine learning in healthcare analytics, many of you may be starting to feel more confident in your understanding of how the technology can really enhance the overall treatment experience. And as the understanding and confidence grow, you may be starting to make some preliminary moves […]
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Wound Care Clinics Could Really Benefit from Predictive Analytics
Up until now, this blog series has focused primarily on higher-level concepts and broader strokes as we discuss the impact of predictive analytics in healthcare. And before we get started, if you haven’t read those earlier discussions just yet, I’d highly encourage you to take a minute to do so as those blogs help to lay […]
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Real-World Benefits of Predictive Analytics in the Healthcare Space
If you’ve been following along with this blog series, I hope you’ve enjoyed our deep dive into healthcare analytics and how it’s poised to change with the implementation and growth of predictive analytics and machine learning. If you haven’t, I’d really encourage you to take a minute to check out the previous posts linked here. What […]
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Value of AI in Scheduling for Wound Care Providers
The chief goal of any provider in the wound care industry is to offer the highest level of care possible to patients. It’s no secret that in order to do that, providers must pay attention to things like resource management, efficient budgeting, and the financial bottom line. The stronger a provider is in these areas, […]
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Not Ready for Clinical Analytics? Try Operational Analytics
Up until this point, our discussion about analytics in healthcare has revolved heavily around clinical analytics—and understandably so. The potential promises it brings to the table are huge, especially when you look at things like predicting clinical outcomes, identifying the risks for diseases and ailments, and helping practitioners choose better treatment plans. However, clinical analytics […]
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