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The future of AI in long-term care with Allison Rainey and Daniel Zhu (Part 1)

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Manage episode 441990015 series 2438436
Indhold leveret af The Post-Acute POV by MatrixCare. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af The Post-Acute POV by MatrixCare eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Introduction

In this two-part series of the Post-Acute POV podcast, our host Lois Bowers, editor at McKnight’s Senior Living is joined by Allison Rainey, APRN, FNP-BC, head of nursing and clinical informatics at MatrixCare, and Daniel Zhu, VP of product management, data & AI/ML at MatrixCare.

Join Lois, Allison, and Daniel as they discuss what AI and machine learning are, the use of artificial intelligence (AI) in the long-term care industry, and its current applications in healthcare environments. The trio shares their experiences with implementing AI and how these technologies can improve patient outcomes and staff satisfaction. Listen to their conversation.

Topics discussed during today’s episode:

  1. [00:34 – 01:38]: Introduction to episode topic and speakers.
  2. [02:40– 04:04]: Daniel defines what artificial intelligence and machine learning are and how they work.
  3. [05:06 – 07:07]: Examples of AI in long-term care and how people feel about using AI in healthcare.
  4. [08:02 – 09:05]: Allison discusses AI use in care coordination and monitoring.
  5. [09:48 – 10:35]: How staff can use AI to help streamline patient assessments and documents.
  6. [11:32 – 12:13]: Allison and Daniel discuss AI technologies and tools that help improve patient care.
  7. [13:01 – 13:42]: Daniel explains how AI can help drive efficiency and asks Allison how she implemented AI technologies in her past roles.
  8. [14:04 – 14:46]: Allison gives examples of how AI positively impacts patient outcomes and nurse satisfaction.
  9. [15:15 – 15:30]: Conclusion.

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.

©2023 by MatrixCare

  continue reading

98 episoder

Artwork
iconDel
 
Manage episode 441990015 series 2438436
Indhold leveret af The Post-Acute POV by MatrixCare. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af The Post-Acute POV by MatrixCare eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Introduction

In this two-part series of the Post-Acute POV podcast, our host Lois Bowers, editor at McKnight’s Senior Living is joined by Allison Rainey, APRN, FNP-BC, head of nursing and clinical informatics at MatrixCare, and Daniel Zhu, VP of product management, data & AI/ML at MatrixCare.

Join Lois, Allison, and Daniel as they discuss what AI and machine learning are, the use of artificial intelligence (AI) in the long-term care industry, and its current applications in healthcare environments. The trio shares their experiences with implementing AI and how these technologies can improve patient outcomes and staff satisfaction. Listen to their conversation.

Topics discussed during today’s episode:

  1. [00:34 – 01:38]: Introduction to episode topic and speakers.
  2. [02:40– 04:04]: Daniel defines what artificial intelligence and machine learning are and how they work.
  3. [05:06 – 07:07]: Examples of AI in long-term care and how people feel about using AI in healthcare.
  4. [08:02 – 09:05]: Allison discusses AI use in care coordination and monitoring.
  5. [09:48 – 10:35]: How staff can use AI to help streamline patient assessments and documents.
  6. [11:32 – 12:13]: Allison and Daniel discuss AI technologies and tools that help improve patient care.
  7. [13:01 – 13:42]: Daniel explains how AI can help drive efficiency and asks Allison how she implemented AI technologies in her past roles.
  8. [14:04 – 14:46]: Allison gives examples of how AI positively impacts patient outcomes and nurse satisfaction.
  9. [15:15 – 15:30]: Conclusion.

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.

©2023 by MatrixCare

  continue reading

98 episoder

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