The COVID-19 crisis has intensified the debate over big data and privacy. Governments are pulling together data from public and private systems in order to predict and counter the spread of COVID-19. But setting aside privacy protections in a time of crisis could lead to new, permanent norms.
The story of EHRs serves as a prelude to what we’re experiencing today in almost every facet of our lives: a utopian promise of ubiquitous data tempered by technical challenges and concerns over privacy.
A new study led by Yale SOM’s Arthur J. Swersey, using decision analysis techniques, finds that increasing the number of biopsy needles and using probability modeling to analyze the results can help prevent unnecessary treatment while identifying dangerous cancers.