Data Privacy

Data-Focused Strategy May Hinder Generative AI Deployment in Healthcare

January 31, 2024 - Insights from Deloitte’s 2024 Health Care Generative AI Outlook Survey indicate that healthcare executives’ narrow focus on data could create blind spots that could prevent organizations from successfully leveraging generative artificial intelligence (AI). The report surveyed 60 executives across the healthcare industry to learn more...


More Articles

Patient Privacy in Healthcare Analytics: The Role of Augmentation PETs

by Shania Kennedy

Healthcare big data analytics efforts must strike a balance between making patient data accessible to researchers and guaranteeing that it is private and protected from unauthorized individuals. To do so, stakeholders can utilize...

American Heart Association Releases Guidance for Patient Data Sharing

by Shania Kennedy

The American Heart Association (AHA) released new policy guidance in Circulation this week outlining six principles for patient data sharing in medical research. The statement emphasizes that EHRs,...

How Architectural Privacy-Enhancing Tools Support Health Analytics

by Shania Kennedy

Data analytics is critical to advancing healthcare quality and medical breakthroughs, but protecting patient data must be a priority throughout the process. Privacy-enhancing technologies (PETs) are critical tools healthcare organizations...

Using Algorithmic Privacy-Enhancing Technologies in Healthcare Analytics

by Shania Kennedy

Big data analytics in healthcare have the potential to advance medical research and lead to important breakthroughs, but ensuring both security and access to protected health information (PHI) can be a challenge. Healthcare data access is...

Senator Calls on Google to Ensure Ethical Deployment of Health AI

by Shania Kennedy

This week, United States Senator Mark R. Warner (D-VA), Chairman of the Senate Select Committee on Intelligence, sent a letter to Google CEO Sundar Pichai citing concerns about the company’s...

Data-Sharing Collaboration Aims to Advance Cancer Prevention

by Shania Kennedy

The University of Texas (UT) Southwestern Medical Center and the UT Health Science Center at San Antonio launched a partnership with healthcare data privacy startup TripleBlind to study the impact of...

Researchers to Propose Framework to Address Federated Learning Challenges

by Shania Kennedy

A research team from the University of Southern California (USC) Viterbi School of Engineering is proposing a novel architecture to address challenges that frequently arise when federated learning (FL)...

Mayo Clinic Platform Launches De-Identified Data, Privacy Partnership

by Shania Kennedy

Mayo Clinic Platform, Mayo Clinic’s initiative to use data-derived insights to improve healthcare, and data privacy company TripleBlind have announced an expanded partnership focused on...

Penn Medicine, Intel Leverage Federated Learning for Tumor Detection

by Shania Kennedy

Researchers from the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) and Intel Labs have announced the results of a joint study that leveraged federated learning (FL) to...

Federated Learning Framework Aims to Improve Fairness in AI Screening Tools

by Shania Kennedy

A research team from the University of Pittsburgh (Pitt) Swanson School of Engineering has been awarded a $1.7 million National Institutes of Health grant to develop a federated learning (FL)-based...

Decentralized AI Connects Globally Distributed, Poor-Quality Medical Data

by Shania Kennedy

A new study published in Scientific Reports shows that a federated learning algorithm designed to train artificial intelligence (AI) on globally distributed, decentralized, and poor-quality medical...

Data Sharing Knowledge Gaps Widespread Among Patients

by Shania Kennedy

Only about half of respondents (52 percent) identified health information as part of the personal data collected and shared in clinical settings, indicating significant knowledge gaps among patients...

Can Artificial Intelligence Boost Mental Healthcare Accessibility? 

by Erin McNemar, MPA

According to MIT and Massachusetts General Hospital researchers, artificial intelligence could improve the accessibility of mental healthcare. The investigation was led by MIT Professor of Media Arts...

De-Identified Data to Improve Health Equity, Research 

by Erin McNemar, MPA

Truveta and LexisNexis Risk Solutions announced a strategic partnership that will use de-identified data to improve the quality of all health research and enable new insights on health...

NIH Funds National Project to Promote COVID-19 Data Sharing

by Jessica Kent

UC hospitals have received a $500,000 grant from NIH to enable COVID-19 data sharing on a national scale, allowing collaborations among researchers, providers, and patients. Led by the University of...

AI Method Facilitates Collaboration While Protecting Data Privacy

by Jessica Kent

A new approach could help researchers build high-quality artificial intelligence algorithms while protecting patient data privacy, accelerating model development and innovation, according to a study...

Health Providers Partner to Create Big Data Analytics Platform

by Jessica Kent

Fourteen leading healthcare providers are partnering to form Truveta, a new company that will leverage big data analytics for enhanced care insights. Providers involved in the effort include...

How Real-Time Data Informs Decision-Making During COVID-19

by Jessica Kent

Throughout the era of COVID-19, it’s become apparent that the only constant is change. The crisis continues to rapidly evolve, with updated guidelines and fluctuating case numbers,...

USC, Amazon Launch Center for Secure Machine Learning Development

by Jessica Kent

The University of Southern California and Amazon have established the Center for Secure and Trusted Machine Learning, a joint research effort to develop new approaches to machine learning privacy and...