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Academic sessions health, risk and data protection

on YouTube 01h 10m
Talkat CPDP 2016 · 2016-01-20..01-22· [privacy-and-compliance]

speakers

name:Leslie Stevens
links:none on file
name:Graeme Laurie
links:none on file
name:Christine Dobbs
links:none on file
name:Kerina Jones
links:none on file
name:Erik Krempel
links:none on file
name:Pascal Birnstill
links:none on file
name:Juergen Beyerer
links:none on file
name:Claire Levallois-Barth
links:none on file
name:Hugo Zylberberg
links:none on file

resources

video:https://youtu.be/DiV1ijT38O8
slides:none on file

summary

A prototype called MURSI detects corridor falls with live video, running three modes: default automated detection with immediate deletion, assessment via anonymized silhouette video, and emergency with full stream plus front‑camera link; a user study favors silhouette filters and backend usage‑control + information‑flow tracking to block screenshots. A separate evidence review finds maladministration as top cause of health data breaches, cites higher breach costs and vague harm timelines, and proposes purpose‑based taxonomies (quantified, predictive personalization, clinical) to guide governance.

AI-written summary · about

chapters (6)

  1. 0:00Introduction
  2. 1:11Privacy-aware fall detection
  3. 13:23Risk reduction in health data
  4. 30:10Personal health data taxonomy
  5. 42:14Q&A
  6. 1:00:17Summary

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