Interactive Medical Data Breaches Map

Note: The medical data breach map has been updated. Please visit the new page at: https://www.worldprivacyforum.org/2016/09/2016-breach-interactive/

January, 2019.

Zoom Out

This interactive map shows medical data breaches in the US from 2009-2012.

How to read the map:

Each blue dot represents a medical data breach. The size of the dot corresponds to the size of the breach. Bigger dot = bigger breach.

How to see more details in the map:

Mouse over the blue dots to see the names of the hospitals or institutions that had the breach. You will also see the date of the breach, number of people affected, and type of breach (for example, theft, or hacking).
Use the drop down menu to choose a state. The map will zoom to the state.
Click the Zoom Out link to return to the main map view.

Research data:

This data visualization is based on the U.S. Department of Health and Human Services raw data set of breaches affecting 500 or more individuals. The dates visualized on this map are from data breaches that have been reported to HHS from 2009-2012. The HITECH Act § 13402(e)(4) requires the Secretary of HHS to post a list of breaches of unsecured Protected Health Information (PHI) affecting 500 or more individuals. The raw data is available here, and is maintained and updated by HHS.

Map Credits:

Data visualization by John Emerson of Backspace, for the World Privacy Forum.

First publication: 20 February, 2014.

Posted February 20, 2014 in Data Breach, Health Privacy, Maps, Apps, and Privacy Data Visualizations

Global Visualization of Countries with Data Privacy Laws, Treaties, or Conventions

Background and Methodology: The conceptualization and initial research for this...
New Report: Risky Analysis: Assessing and Improving AI Governance Tools

We are pleased to announce the publication of a new WPF report, “Risky Analysis: Assessing and Improving AI Governance Tools.” This report sets out a definition of AI governance tools, documents why and how these tools are critically important for trustworthy AI, and where these tools are around the world. The report also documents problems in some AI governance tools themselves, and suggests pathways to improve AI governance tools and create an evaluative environment to measure their effectiveness. AI systems should not be deployed without simultaneously evaluating the potential adverse impacts of such systems and mitigating their risks, and most of the world agrees about the need to take precautions against the threats posed. The specific tools and techniques that exist to evaluate and measure AI systems for their inclusiveness, fairness, explainability, privacy, safety and other trustworthiness issues — called in the report collectively AI governance tools – can improve such issues. While some AI governance tools provide reassurance to the public and to regulators, the tools too often lack meaningful oversight and quality assessments. Incomplete or ineffective AI governance tools can create a false sense of confidence, cause unintended problems, and generally undermine the promise of AI systems. The report contains rich background details, use cases, potential solutions to the problems discussed in the report, and a global index of AI Governance Tools.
National IDs Around the World — Interactive map

About this Data Visualization: This interactive map displays the presence...