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3 Tips to leverage data for improved outcomes in home-based care with Elliott Wood, President and CEO of Medalogix

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Manage episode 403667706 series 2438436
内容由The Post-Acute POV by MatrixCare提供。所有播客内容(包括剧集、图形和播客描述)均由 The Post-Acute POV by MatrixCare 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

Introduction

In this episode of the Post-Acute POV Podcast our host, Melissa Polly, our senior director of marketing, is joined by Rob Stoltz, senior director for business development and strategic initiatives, and Elliot Wood, CEO and President of Medalogix to discuss their personal tips and tricks for leveraging data to obtain improved outcomes in home-based care.

Rob and Elliot discuss strategies for leveraging data using machine learning to improve patient care. The duo will also share insights and ideas on how to put predictive analytics to work and integrate technology into workflows to drive better care coordination. Don’t miss their conversation.

Topics discussed during today’s episode:

  1. [00:34 – 01:38]: Melissa introduces Rob and Elliot and shares some background on their careers.
  2. [02:11 – 06:05]: Elliot begins the discussion by diving into what machine learning is and how it is applied within the home-based care industry.
  3. [06:47 – 09:36]: Elliot outlines the importance of accurate predictions in machine learning, and how to use these resources wisely.
  4. [10:21 – 15:07]: Elliot talks about best practices and how these impact your organization. He also shares examples of how to work with customers using these best practices.
  5. [15:46 – 18:51]: Elliot concludes his portion of the episode by discussing the significance of the implementation process and how the adoption of machine learning technology can be helpful.
  6. [19:14 – 21:22]: Rob explains how interoperability and patient support play a huge role when talking about technology and partnerships.
  7. [22:03 – 25:14]: Rob goes into more detail about the use of interoperability in leveraging data and the environment for remote patient support.
  8. [25:44 – 29:43]: Rob talks about the meaning of an omnichannel approach and how virtual care options allow for a more proactive process.
  9. [30:17 – 35:24]: Rob addresses how using machine learning can not only show potential risks but also stop emergencies from occurring before they begin.
  10. [36:08 – 37:13]: Rob recaps the conversation and concludes the episode.

Resources

Disclaimer

The content in this presentation or materials is for informational purposes only and is provided “as-is.” Information and views expressed herein, may change without notice. We encourage you to seek as appropriate, regulatory and legal advice on any of the matters covered in this presentation or materials.

©2024 by MatrixCare

  continue reading

85集单集

Artwork
icon分享
 
Manage episode 403667706 series 2438436
内容由The Post-Acute POV by MatrixCare提供。所有播客内容(包括剧集、图形和播客描述)均由 The Post-Acute POV by MatrixCare 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

Introduction

In this episode of the Post-Acute POV Podcast our host, Melissa Polly, our senior director of marketing, is joined by Rob Stoltz, senior director for business development and strategic initiatives, and Elliot Wood, CEO and President of Medalogix to discuss their personal tips and tricks for leveraging data to obtain improved outcomes in home-based care.

Rob and Elliot discuss strategies for leveraging data using machine learning to improve patient care. The duo will also share insights and ideas on how to put predictive analytics to work and integrate technology into workflows to drive better care coordination. Don’t miss their conversation.

Topics discussed during today’s episode:

  1. [00:34 – 01:38]: Melissa introduces Rob and Elliot and shares some background on their careers.
  2. [02:11 – 06:05]: Elliot begins the discussion by diving into what machine learning is and how it is applied within the home-based care industry.
  3. [06:47 – 09:36]: Elliot outlines the importance of accurate predictions in machine learning, and how to use these resources wisely.
  4. [10:21 – 15:07]: Elliot talks about best practices and how these impact your organization. He also shares examples of how to work with customers using these best practices.
  5. [15:46 – 18:51]: Elliot concludes his portion of the episode by discussing the significance of the implementation process and how the adoption of machine learning technology can be helpful.
  6. [19:14 – 21:22]: Rob explains how interoperability and patient support play a huge role when talking about technology and partnerships.
  7. [22:03 – 25:14]: Rob goes into more detail about the use of interoperability in leveraging data and the environment for remote patient support.
  8. [25:44 – 29:43]: Rob talks about the meaning of an omnichannel approach and how virtual care options allow for a more proactive process.
  9. [30:17 – 35:24]: Rob addresses how using machine learning can not only show potential risks but also stop emergencies from occurring before they begin.
  10. [36:08 – 37:13]: Rob recaps the conversation and concludes the episode.

Resources

Disclaimer

The content in this presentation or materials is for informational purposes only and is provided “as-is.” Information and views expressed herein, may change without notice. We encourage you to seek as appropriate, regulatory and legal advice on any of the matters covered in this presentation or materials.

©2024 by MatrixCare

  continue reading

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