Artwork

Contenido proporcionado por Mathieu Chaffard. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Mathieu Chaffard o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Player FM : aplicación de podcast
¡Desconecta con la aplicación Player FM !

#43 - Rethinking medical prescriptions to save lives - Emmanuel Bilbault - Posos

51:05
 
Compartir
 

Manage episode 454502865 series 3525366
Contenido proporcionado por Mathieu Chaffard. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Mathieu Chaffard o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

According to the WHO, unsafe medication practices and medication errors are a leading cause of avoidable harm in health systems across the globe.

In the European Union alone, this translates to nearly 200,000 deaths annually.

The magnitude of this problem has led to global initiatives such as "Medication Without Harm," launched in 2017, aiming to reduce medical errors by 50% over five years.

Although there is a need for more data on the results of this initiative, we are far from having reached the goal.

The key lies in our ability to access medical information, specifically related to prescriptions.

Direct access to reliable information, accounting for individual patient characteristics, and able to fit with the tools used by healthcare professionals.

A next-generation medical database, incorporating all known information about medications in structured and interoperable bricks capable of supporting caregivers in safer and more effective prescribing practices.

It turns out this database exists and has been developed by Pharmacist Emmanuel Bilbault and his team at Posos!

Approved less than a year ago by French health authorities, it offers a new perspective on how to approach medical prescriptions in the era of AI and digital health.

A way to give back time to every healthcare professional and ensure an unprecedented level of care quality for patients.

We talked with Emmanuel about the creation of this new tool - used today by more than 85,000 healthcare professionals in Europe - and what it changes in our fight against medical errors.

Timeline:

  • 00:02:56 - What pushed Emmanuel to quit the Pharma industry and found Posos
  • 00:11:11 - The first multilingual, structured, and encoded drug database to streamline medical prescribing
  • 00:16:31 - How Posos is leveraging AI to supercharge its platform
  • 00:22:54 - Keeping the drug database up to date across geographies
  • 00:24:37 - The impact Posos has on healthcare professionals, patients, and health systems
  • 00:29:59 - Toward providing patient access to Posos’ drug database
  • 00:32:40 - Lessons learned from scaling Posos in France and abroad
  • 00:40:47 - Emmanuel’s view on the current healthcare transformation

What we also talked about with Emmanuel:

We cited with Emmanuel some of the past episodes of the series:

As mentioned by Emmanuel during the episode, we recommend taking a look at this page to learn more about the SNOMED CT clinical terminology, as the most comprehensive, multilingual clinical healthcare terminology in the world.

You can follow Posos’ activities on LinkedIn, Instagram, and X, and get in touch with Emmanuel via LinkedIn!

If you want to give me feedback on the episode or suggest potential guests, contact me over LinkedIn or via email!

And if you liked the episode, please share it, subscribe to the podcast, and leave a 5-star review on streaming platforms! 🙏

There’s now a bi-monthly newsletter around the podcast where you will be informed of the latest episodes and kept posted on the latest medical tech progress, subscribe here!

Lastly, don’t forget to follow our activities on LinkedIn and our website!

  continue reading

89 episodios

Artwork
iconCompartir
 
Manage episode 454502865 series 3525366
Contenido proporcionado por Mathieu Chaffard. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Mathieu Chaffard o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

According to the WHO, unsafe medication practices and medication errors are a leading cause of avoidable harm in health systems across the globe.

In the European Union alone, this translates to nearly 200,000 deaths annually.

The magnitude of this problem has led to global initiatives such as "Medication Without Harm," launched in 2017, aiming to reduce medical errors by 50% over five years.

Although there is a need for more data on the results of this initiative, we are far from having reached the goal.

The key lies in our ability to access medical information, specifically related to prescriptions.

Direct access to reliable information, accounting for individual patient characteristics, and able to fit with the tools used by healthcare professionals.

A next-generation medical database, incorporating all known information about medications in structured and interoperable bricks capable of supporting caregivers in safer and more effective prescribing practices.

It turns out this database exists and has been developed by Pharmacist Emmanuel Bilbault and his team at Posos!

Approved less than a year ago by French health authorities, it offers a new perspective on how to approach medical prescriptions in the era of AI and digital health.

A way to give back time to every healthcare professional and ensure an unprecedented level of care quality for patients.

We talked with Emmanuel about the creation of this new tool - used today by more than 85,000 healthcare professionals in Europe - and what it changes in our fight against medical errors.

Timeline:

  • 00:02:56 - What pushed Emmanuel to quit the Pharma industry and found Posos
  • 00:11:11 - The first multilingual, structured, and encoded drug database to streamline medical prescribing
  • 00:16:31 - How Posos is leveraging AI to supercharge its platform
  • 00:22:54 - Keeping the drug database up to date across geographies
  • 00:24:37 - The impact Posos has on healthcare professionals, patients, and health systems
  • 00:29:59 - Toward providing patient access to Posos’ drug database
  • 00:32:40 - Lessons learned from scaling Posos in France and abroad
  • 00:40:47 - Emmanuel’s view on the current healthcare transformation

What we also talked about with Emmanuel:

We cited with Emmanuel some of the past episodes of the series:

As mentioned by Emmanuel during the episode, we recommend taking a look at this page to learn more about the SNOMED CT clinical terminology, as the most comprehensive, multilingual clinical healthcare terminology in the world.

You can follow Posos’ activities on LinkedIn, Instagram, and X, and get in touch with Emmanuel via LinkedIn!

If you want to give me feedback on the episode or suggest potential guests, contact me over LinkedIn or via email!

And if you liked the episode, please share it, subscribe to the podcast, and leave a 5-star review on streaming platforms! 🙏

There’s now a bi-monthly newsletter around the podcast where you will be informed of the latest episodes and kept posted on the latest medical tech progress, subscribe here!

Lastly, don’t forget to follow our activities on LinkedIn and our website!

  continue reading

89 episodios

所有剧集

×
 
Loading …

Bienvenido a Player FM!

Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.

 

Guia de referencia rapida

Escucha este programa mientras exploras
Reproducir