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GOTO에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 GOTO 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Privacy-First Research with OpenSAFELY • Eli Holderness & Hannes Lowette

27:58
 
공유
 

Manage episode 497201956 series 2896766
GOTO에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 GOTO 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

This interview was recorded for GOTO Unscripted.
https://gotopia.tech

Read the full transcription of this interview here

Eli Holderness - Research Software Advocate at Bennett Institute for Applied Data Science, Speaker & Professional Nerd
Hannes Lowette - Principal Consultant at Axxes, Monolith Advocate, Speaker & Whiskey Lover
RESOURCES
Eli
https://bsky.app/profile/eli.holderness.dev
https://twitter.com/eliholderness
https://hachyderm.io/@eli
https://linkedin.com/in/eli-holderness-4890b886
https://github.com/eli-miriam
https://eli.holderness.dev

Hannes
https://bsky.app/profile/hanneslowette.net
https://twitter.com/hannes_lowette
https://github.com/Belenar
https://linkedin.com/in/hanneslowette

Links
https://www.opensafely.org
https://docs.opensafely.org/ehrql
https://github.com/opensafely-core/ehrql

DESCRIPTION
OpenSAFELY represents a revolutionary approach to medical research that prioritizes patient privacy while enabling valuable insights from healthcare data. Rather than giving researchers direct access to sensitive GP records, it allows them to submit code that runs in a secure environment, with only privacy-checked aggregated results returned.
Hannes Lowette talks to Eli Holderness about how the system works, its benefits for ensuring reproducible science, the challenges of working with data not collected for research purposes, and its potential applications beyond healthcare. The approach balances the need for medical research with strict privacy protections, ensuring patients maintain trust in how their sensitive data is used.
RECOMMENDED BOOKS
Ben Goldacre • Bad Science
Ben Goldacre • Bad Pharma
Aaron Parecki • OAuth 2.0 Simplified
Aaron Parecki • OAuth 2.0 Servers
Erdal Ozkaya • Cybersecurity: The Beginner's Guide
Saleem Siddiqui • Learning Test-Driven Development
Jacqui Read • Communication Patterns

Bluesky
Twitter
Instagram
LinkedIn
Facebook
CHANNEL MEMBERSHIP BONUS
Join this channel to get early access to videos & other perks:
https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/join

Looking for a unique learning experience?
Attend the next GOTO conference near you! Get your ticket: gotopia.tech
SUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

  continue reading

챕터

1. Intro (00:00:00)

2. How OpenSAFELY protects GP data (00:01:24)

3. Ensuring secure, scalable medical research with OpenSAFELY (00:17:30)

4. Privacy protection & output checking (00:19:44)

5. Challenges: Data mismatch, privacy & trust (00:20:41)

6. Secure, reproducible science with sensitive data (00:25:50)

7. Outro (00:27:18)

249 에피소드

Artwork
icon공유
 
Manage episode 497201956 series 2896766
GOTO에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 GOTO 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

This interview was recorded for GOTO Unscripted.
https://gotopia.tech

Read the full transcription of this interview here

Eli Holderness - Research Software Advocate at Bennett Institute for Applied Data Science, Speaker & Professional Nerd
Hannes Lowette - Principal Consultant at Axxes, Monolith Advocate, Speaker & Whiskey Lover
RESOURCES
Eli
https://bsky.app/profile/eli.holderness.dev
https://twitter.com/eliholderness
https://hachyderm.io/@eli
https://linkedin.com/in/eli-holderness-4890b886
https://github.com/eli-miriam
https://eli.holderness.dev

Hannes
https://bsky.app/profile/hanneslowette.net
https://twitter.com/hannes_lowette
https://github.com/Belenar
https://linkedin.com/in/hanneslowette

Links
https://www.opensafely.org
https://docs.opensafely.org/ehrql
https://github.com/opensafely-core/ehrql

DESCRIPTION
OpenSAFELY represents a revolutionary approach to medical research that prioritizes patient privacy while enabling valuable insights from healthcare data. Rather than giving researchers direct access to sensitive GP records, it allows them to submit code that runs in a secure environment, with only privacy-checked aggregated results returned.
Hannes Lowette talks to Eli Holderness about how the system works, its benefits for ensuring reproducible science, the challenges of working with data not collected for research purposes, and its potential applications beyond healthcare. The approach balances the need for medical research with strict privacy protections, ensuring patients maintain trust in how their sensitive data is used.
RECOMMENDED BOOKS
Ben Goldacre • Bad Science
Ben Goldacre • Bad Pharma
Aaron Parecki • OAuth 2.0 Simplified
Aaron Parecki • OAuth 2.0 Servers
Erdal Ozkaya • Cybersecurity: The Beginner's Guide
Saleem Siddiqui • Learning Test-Driven Development
Jacqui Read • Communication Patterns

Bluesky
Twitter
Instagram
LinkedIn
Facebook
CHANNEL MEMBERSHIP BONUS
Join this channel to get early access to videos & other perks:
https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/join

Looking for a unique learning experience?
Attend the next GOTO conference near you! Get your ticket: gotopia.tech
SUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

  continue reading

챕터

1. Intro (00:00:00)

2. How OpenSAFELY protects GP data (00:01:24)

3. Ensuring secure, scalable medical research with OpenSAFELY (00:17:30)

4. Privacy protection & output checking (00:19:44)

5. Challenges: Data mismatch, privacy & trust (00:20:41)

6. Secure, reproducible science with sensitive data (00:25:50)

7. Outro (00:27:18)

249 에피소드

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