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The future of data in in collaboration among standards bodies (Rachel Dunscombe)

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Contenido proporcionado por Tjasa Zajc. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Tjasa Zajc 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.

This short discussion with Rachel Dunscombe, CEO of openEHR International Foundation, was recorded in Reading at the first openEHR Annual conference. Rachel Dunscombe discussed trends in data standards and the importance of structured data for the future development of AI.

Recap of the discussion:

  1. Historical Context and Progress in Data Standards:
  • Thirty years ago, the "Good European Healthcare Record" initiative aimed to create a standardized European healthcare record. How does it relate to EHDS and efforts for single patient records on European level.
  • Unlike the past, today's digital landscape and AI advancements underscore the importance of standardized, actionable data for remote care and patient self-management.
  1. Collaboration Among Standards Bodies:
  • Recent years have seen increased cooperation among standards organizations like FHIR, OpenEHR, and SNOMED, with a focus on complementing rather than duplicating efforts.
  • Standards bodies are now defining clearer roles and working together toward a unified goal of improving healthcare outcomes.
  1. Need for Practical Implementation and Governance:
  • Effective implementation of standards requires practical guides for healthcare systems, developed collaboratively by standards bodies.
  • Open, democratic communities with strong governance are essential to ensure diverse input and practical guidance for using standards effectively.
  1. AI and Data Quality:
  • Good data quality is foundational for effective AI in healthcare; without it, AI solutions cannot achieve optimal results.
  • Standards are crucial for creating "trustworthy" AI and have been discussed at forums like the United Nations, emphasizing the need for global alignment on data standards.
  1. Future Goals and Global Standards:
  • Continued development of clear, internationally recognized standards will support interoperability and innovation in healthcare, including AI-driven solutions.
  • Guidelines from standards bodies are anticipated to help healthcare systems apply data standards cohesively for population health benefits.
  1. Resources and Engagement:
  • The podcast "Faces of Digital Health" and its associated newsletter discuss these topics, offering updates on trends and insights in healthcare digitalization and standards.

www.facesofdigitalhealth.com

Newsletter: https://fodh.substack.com/

  continue reading

339 episodios

Artwork
iconCompartir
 
Manage episode 450127160 series 2359900
Contenido proporcionado por Tjasa Zajc. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Tjasa Zajc 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.

This short discussion with Rachel Dunscombe, CEO of openEHR International Foundation, was recorded in Reading at the first openEHR Annual conference. Rachel Dunscombe discussed trends in data standards and the importance of structured data for the future development of AI.

Recap of the discussion:

  1. Historical Context and Progress in Data Standards:
  • Thirty years ago, the "Good European Healthcare Record" initiative aimed to create a standardized European healthcare record. How does it relate to EHDS and efforts for single patient records on European level.
  • Unlike the past, today's digital landscape and AI advancements underscore the importance of standardized, actionable data for remote care and patient self-management.
  1. Collaboration Among Standards Bodies:
  • Recent years have seen increased cooperation among standards organizations like FHIR, OpenEHR, and SNOMED, with a focus on complementing rather than duplicating efforts.
  • Standards bodies are now defining clearer roles and working together toward a unified goal of improving healthcare outcomes.
  1. Need for Practical Implementation and Governance:
  • Effective implementation of standards requires practical guides for healthcare systems, developed collaboratively by standards bodies.
  • Open, democratic communities with strong governance are essential to ensure diverse input and practical guidance for using standards effectively.
  1. AI and Data Quality:
  • Good data quality is foundational for effective AI in healthcare; without it, AI solutions cannot achieve optimal results.
  • Standards are crucial for creating "trustworthy" AI and have been discussed at forums like the United Nations, emphasizing the need for global alignment on data standards.
  1. Future Goals and Global Standards:
  • Continued development of clear, internationally recognized standards will support interoperability and innovation in healthcare, including AI-driven solutions.
  • Guidelines from standards bodies are anticipated to help healthcare systems apply data standards cohesively for population health benefits.
  1. Resources and Engagement:
  • The podcast "Faces of Digital Health" and its associated newsletter discuss these topics, offering updates on trends and insights in healthcare digitalization and standards.

www.facesofdigitalhealth.com

Newsletter: https://fodh.substack.com/

  continue reading

339 episodios

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