Computational Analysis and Technology Assessment

[Status: Completed]

This project, Computational Analysis and Technology Assessment, employs digital methods to analyze the technological landscape of healthcare, particularly focusing on data sharing policies. It examines the connectivity and structure of online information pathways to bridge the gap between technology and ethics, informing how emerging health technologies impact medicine.

Description
Broadly spanning multiple projects, this approach analyses technology from a technological perspective for fields relevant to what the lab does – essentially technology that has an impact on healthcare and medicine. An example can be seen in Manuel Schneider’s contributions to the health affairs publications on data sharing policies where he looked into how data sharing policies online link up: what is the online path that exists between documents? The idea was to analyse the networks of links to get an idea whether the space is densely connected or not: an example of a digital method.

Blasimme A., Fadda, M., Schneider, M., & Vayena, E. (2018). Data Sharing For Precision Medicine: Policy Lessons And Future Directions. Health Affairs, 37(5), 702-​709. external page https://doi.org/10.1377/hlthaff.2017.1558

Schneider M., Ferretti, A., & Blasimme, A. (2018). Machine Learning in Medicine: Opening the New Data Protection Black Box. European Data Protection Law Review, 4(3), 320-​332. external page https://doi.org/10.21552/edpl/2018/3/10

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