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What is Health Analytics?

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Manage episode 448018524 series 2993204
内容由Springbuk Inc.提供。所有播客内容(包括剧集、图形和播客描述)均由 Springbuk Inc. 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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!

Produced by David Pittman

Theme music: "Overboard" by Stay Outside

  continue reading

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Artwork
icon分享
 
Manage episode 448018524 series 2993204
内容由Springbuk Inc.提供。所有播客内容(包括剧集、图形和播客描述)均由 Springbuk Inc. 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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!

Produced by David Pittman

Theme music: "Overboard" by Stay Outside

  continue reading

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