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What is Health Analytics?

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Manage episode 448018524 series 2993204
المحتوى المقدم من Springbuk Inc.. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Springbuk Inc. أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

In this episode, we break down the broad and powerful world of health analytics, aiming to show how data can improve healthcare outcomes while managing costs. Health analytics goes beyond simple record-keeping to integrate data from claims, biometric screenings, wearable devices, and more. A great analogy in the episode compares it to having a “super-powered health detective” on your team, with predictive analytics that can even foresee risks like diabetes or cardiovascular issues before they manifest. This proactive approach allows employers and advisors to target wellness programs effectively, shifting from reactive treatment to prevention.

Key takeaways include:

  • Cost Containment: By analyzing claims, employers can identify overspending patterns and address them without compromising care.
  • Predictive Analytics: Using risk data, employers can preemptively support at-risk employees with targeted health programs, gym memberships, and more.
  • Machine Learning and AI: These tools enhance analysis by uncovering patterns in vast data, providing insights that guide better decision-making.
  • Privacy and Data Security: As this field grows, robust measures and transparency are essential to build trust and protect sensitive health information.
  • Future of Personalized Care: The goal is individualized health plans and preventive healthcare, helping people “stay healthy, not just get healthy.”

Have feedback, questions, or suggestions for show ideas? Send them to us at podcast@springbuk.com.

Please rate and review us on your favorite podcast platform, and share it with your friends and colleagues. We appreciate you and thank you for listening!

Theme music: "Overboard" by Stay Outside

  continue reading

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Artwork
iconمشاركة
 
Manage episode 448018524 series 2993204
المحتوى المقدم من Springbuk Inc.. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Springbuk Inc. أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

In this episode, we break down the broad and powerful world of health analytics, aiming to show how data can improve healthcare outcomes while managing costs. Health analytics goes beyond simple record-keeping to integrate data from claims, biometric screenings, wearable devices, and more. A great analogy in the episode compares it to having a “super-powered health detective” on your team, with predictive analytics that can even foresee risks like diabetes or cardiovascular issues before they manifest. This proactive approach allows employers and advisors to target wellness programs effectively, shifting from reactive treatment to prevention.

Key takeaways include:

  • Cost Containment: By analyzing claims, employers can identify overspending patterns and address them without compromising care.
  • Predictive Analytics: Using risk data, employers can preemptively support at-risk employees with targeted health programs, gym memberships, and more.
  • Machine Learning and AI: These tools enhance analysis by uncovering patterns in vast data, providing insights that guide better decision-making.
  • Privacy and Data Security: As this field grows, robust measures and transparency are essential to build trust and protect sensitive health information.
  • Future of Personalized Care: The goal is individualized health plans and preventive healthcare, helping people “stay healthy, not just get healthy.”

Have feedback, questions, or suggestions for show ideas? Send them to us at podcast@springbuk.com.

Please rate and review us on your favorite podcast platform, and share it with your friends and colleagues. We appreciate you and thank you for listening!

Theme music: "Overboard" by Stay Outside

  continue reading

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