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32 Million Breached Patient Records in First Half of 2019 Double Total for All of 2018

Vlad Poptamas

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31,611,235 patient records were breached between January and June 2019, according to new data released today in the Protenus Breach Barometer. Published by Protenus, an AI-powered healthcare compliance analytics platform that protects patient data for the nation’s leading health systems, the Breach Barometer is the industry’s definitive source for health data breach reporting.

There has been an increase in the number of disclosed incidents in the first half of 2019, with 285 incidents. Alarmingly, the number of affected patient records has doubled from 15M in the entirety of 2018 to 32M between January and June 2019. As first reported in 2016, a trend of at least one health data breach per day remains in 2019.

To download the full report, or for more information, please visit:

https://pages.protenus.com/2019-mid-year-breach-barometer-report

The single largest breach disclosed so far in 2019 was the result of hacking a medical collections agency. The incident was discovered when patient data was found for sale on the Dark Web. More than 20M patient records were affected when hackers potentially gained access to highly sensitive medical information. Hacking was the cause of 60% of the total number of breaches throughout the first half of the year.

Hospital insiders were responsible for breaching more than 3M patient records. Insider incidents are particularly difficult to detect due to the legitimate access hospital workforce must have to quickly and effectively treat their patients and can often go undetected for several years, as noted in the Breach Barometer report.

Protenus was recently named the 2019 KLAS Category Leader in Patient Privacy Monitoring. Protenus was also named a Gartner 2019 “Cool Vendor” in Healthcare Artificial Intelligence and received the Innovation of the Year in Data Security award by Healthcare Informatics.

 

SOURCE Protenus

Artificial Intelligence

Europe AI in Social Media Market By Component, By Technology, By Organization Size, By Application, By End User Industry, By Country, Competition, Forecast & Opportunities, 2025

GlobeNewswire

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New York, July 01, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Europe AI in Social Media Market By Component, By Technology, By Organization Size, By Application, By End User Industry, By Country, Competition, Forecast & Opportunities, 2025” – https://www.reportlinker.com/p05916824/?utm_source=GNWClare: clare@reportlinker.com
US: (339)-368-6001
Intl: +1 339-368-6001

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ABQQ Announces Plan of Opening its North America Operation Offices in NYC in October 2020

GlobeNewswire

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HONG KONG and NEW YORK, July 01, 2020 (GLOBE NEWSWIRE) — AB International Group Corp. (OTCQB: ABQQ), an intellectual property (IP) and movie investment and licensing firm announces its North America operation offices will be opening in October 2020. The North America operation office will be located in New York City, and will be headed by the Chief Investment Officer, who will be recruited in NYC. The office will be operating the company’s main business: acquisitions in IP and film copyrights; also planning to provide TV dramas and films to broadcast on video streaming websites worldwide, starting December 2020.
About AB International Group Corp. 
AB International Group Corp. is an intellectual property (IP) and movie investment and licensing firm, focused on acquisitions and development of various intellectual property. We are engaged to acquisition and distribution of movies. The Company has a Patent License to a video synthesis and release system for mobile communications equipment, in which the technology is the subject of a utility model patent in the People’s Republic of China. We had launched a business application through smartphones and official social media accounts based on WeChat platform in February 2019, utilizing Artificial Intelligence, it is a matching platform for performers, advertiser merchants, and owners for more efficient services. It generates revenues through an agency service fee from each matched performance.

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LSU CS Professor Studies COVID-19 Disparities on Social Media

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BATON ROUGE, La., July 01, 2020 (GLOBE NEWSWIRE) — During the COVID-19 pandemic, a plethora of information has gone out from various news sources about how the virus is being tracked, how it is spread, how many cases exist, and so forth. The problem is much of this vital information can be inaccurate, leaving people to ignore advice from public officials. For this reason, LSU Computer Science and Engineering Assistant Professor Kisung Lee and LSU Environmental Sciences Professor Nina Lam are evaluating how a population reacts to multiple sources of information, hoping to eliminate disparities in the messaging.“Studying different COVID-19 responses to trustworthy information will contribute new perspectives and improve our fundamental understanding of the human aspects of information trustworthiness during a pandemic,” Lee said.Lee, principal investigator on the project, and Lam recently received a $200,000 grant from the National Science Foundation for the project and will have University of Washington Center for Studies in Demography & Ecology Director Sara Curran and Cybersecurity Research Fellow Jessica Beyer work alongside them.Lee will collect and analyze Twitter and linked media data using artificial intelligence-based techniques; Lam will map the data into administrative regions and analyze the data geographically (state- and county-level comparisons); and Curran and Beyer will collect policy and media source trustworthiness data and analyze it with other contextual information, such as media framing. Data will be collected and analyzed in Louisiana and Washington.They will collect three waves of Twitter and associated data to compare sentiment and language use patterns among users and analyze how these characteristics evolve through the recognition of the emergency, the peak of the crisis, and the mitigation of the pandemic in the U.S. The tweets and entities will be classified for relevance (individual, organization, or bot) with derived age and location. The tweets will be associated with daily disease-specific rates and annual demographic and socio-economic information.“Data about the surrounding information context, including reporting trends and framing of the crisis, sources of health information, and information-seeking behavior about COVID-19, will provide tools for assessing the validity and reliability of our inferences about the patterns of sentiment and language use,” Lee said. “This project will provide insight for targeting effective public messaging by public health and government officials during a crisis and ultimately improve disaster resilience.”Like us on Facebook (@lsuengineering) or follow us on Twitter and Instagram (@lsuengineering).​Josh Duplechain
LSU College of Engineering
225-578-5706
josh@lsu.edu

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