Chapter
The Problem of Trust and Transparency in Healthcare Data
Building large healthcare data sets for research purposes has been hindered by issues related to trust and transparency in data access. Despite the availability of de-identified data, legal and ethical issues surrounding ownership and responsibility of patient data pose challenges to the development of large-scale data sets for medical research.
Clips
Hospitals face legal responsibility for their data, creating issues of trust and transparency that need to be addressed before large data sets can be used to detect cancer and save lives.
25:09 - 28:03 (02:54)
Summary
Hospitals face legal responsibility for their data, creating issues of trust and transparency that need to be addressed before large data sets can be used to detect cancer and save lives. While hospitals have a lot to lose if data is given to the wrong person, there may be limited gain for them as a legal entity in sharing data.
ChapterThe Problem of Trust and Transparency in Healthcare Data
EpisodeRegina Barzilay: Deep Learning for Cancer Diagnosis and Treatment
PodcastLex Fridman Podcast
There are techniques being developed where learning can be done on encoded data, allowing for de-identification and protection of patient data while still preserving the ability to make life-changing medical decisions through data analysis.
28:05 - 30:33 (02:28)
Summary
There are techniques being developed where learning can be done on encoded data, allowing for de-identification and protection of patient data while still preserving the ability to make life-changing medical decisions through data analysis.
ChapterThe Problem of Trust and Transparency in Healthcare Data
EpisodeRegina Barzilay: Deep Learning for Cancer Diagnosis and Treatment
PodcastLex Fridman Podcast
Despite patients owning their health data, there are challenges associated with accessing and sharing it, and computer scientists may not understand the regulatory process required for approval.
30:33 - 35:16 (04:42)
Summary
Despite patients owning their health data, there are challenges associated with accessing and sharing it, and computer scientists may not understand the regulatory process required for approval. There is still uncertainty around what needs to be demonstrated to change the standard of care.