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453 - Ripple Effect of Patient Flow in Healthcare: An Independent Study on The Benefits of Miya Flow, Alcidion

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Manage episode 429094969 series 2628426
Content provided by Talking HealthTech. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Talking HealthTech or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of Talking HealthTech, host Peter Birch sits down with Nick White, Chief Marketing Officer at Alcidion, to explore the benefits of implementing modern patient flow systems in healthcare.

Nick discusses the recent independent study at Alfred Health that highlights the positive impact of electronic patient journey boards on clinical workflows, bed allocation, discharge planning, and overall patient care. With his extensive healthcare tech and marketing background, Nick shares insights on how Alcidion transforms patient flow management through innovative solutions like Miya Precision.

Key Takeaways:

  • Enhanced Efficiency in Bed Allocation: The study showed a 67% reduction in call duration for bed allocation, thanks to Alcidion's Miya Precision platform. This freed up clinicians’ time and resources, making bed management more efficient.
  • Reduction in Outliers: There was a significant 17.7% decline in patients being admitted to incorrect wards, improving patient care quality and reducing the length of stay.
  • Real-Time Patient Information: Access to up-to-date patient data has eliminated discrepancies that previously existed between different data sources, enhancing patient safety and care.
  • Improved Discharge Planning: The study highlighted the positive impact of mandatory Estimated Date of Discharge (EDD) entries, which have improved predictive analytics and bed availability planning.
  • Consistency in Workflow: Before Miya Precision, the healthcare facility faced 30 different workflow variations. This number was reduced to 9, allowing staff to move between wards more effectively and maintain consistent care levels.
  • Shorter Length of Stay: A 12.1% reduction in patient length of stay was observed, reflecting the overall enhanced efficiency in the system.
  • Future Technological Advancements: Potential for AI and advanced predictive analytics to further enhance patient flow and bed management.

Check out the episode and full show notes on the Talking HealthTech website.

Loving the show? Leave us a review, and share it with someone who might get some value from it.

Keen to take your healthtech to the next level? Become a THT+ Member for access to our online community forum, meet-ups, special offers and more exclusive content. For more information visit talkinghealthtech.com/thtplus

  continue reading

468 episodes

Artwork
iconShare
 
Manage episode 429094969 series 2628426
Content provided by Talking HealthTech. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Talking HealthTech or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of Talking HealthTech, host Peter Birch sits down with Nick White, Chief Marketing Officer at Alcidion, to explore the benefits of implementing modern patient flow systems in healthcare.

Nick discusses the recent independent study at Alfred Health that highlights the positive impact of electronic patient journey boards on clinical workflows, bed allocation, discharge planning, and overall patient care. With his extensive healthcare tech and marketing background, Nick shares insights on how Alcidion transforms patient flow management through innovative solutions like Miya Precision.

Key Takeaways:

  • Enhanced Efficiency in Bed Allocation: The study showed a 67% reduction in call duration for bed allocation, thanks to Alcidion's Miya Precision platform. This freed up clinicians’ time and resources, making bed management more efficient.
  • Reduction in Outliers: There was a significant 17.7% decline in patients being admitted to incorrect wards, improving patient care quality and reducing the length of stay.
  • Real-Time Patient Information: Access to up-to-date patient data has eliminated discrepancies that previously existed between different data sources, enhancing patient safety and care.
  • Improved Discharge Planning: The study highlighted the positive impact of mandatory Estimated Date of Discharge (EDD) entries, which have improved predictive analytics and bed availability planning.
  • Consistency in Workflow: Before Miya Precision, the healthcare facility faced 30 different workflow variations. This number was reduced to 9, allowing staff to move between wards more effectively and maintain consistent care levels.
  • Shorter Length of Stay: A 12.1% reduction in patient length of stay was observed, reflecting the overall enhanced efficiency in the system.
  • Future Technological Advancements: Potential for AI and advanced predictive analytics to further enhance patient flow and bed management.

Check out the episode and full show notes on the Talking HealthTech website.

Loving the show? Leave us a review, and share it with someone who might get some value from it.

Keen to take your healthtech to the next level? Become a THT+ Member for access to our online community forum, meet-ups, special offers and more exclusive content. For more information visit talkinghealthtech.com/thtplus

  continue reading

468 episodes

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