Patient Privacy

Locally Run Large Language Models May Help Preserve Patient Privacy

October 20, 2023 - Researchers from the National Institutes of Health Clinical Center (NIH CC) found that a locally run, privacy-preserving large language model (LLM) may be suitable for labeling radiography reports, according to a study published last week in Radiology. While LLMs like ChatGPT have recently been lauded for their ability to generate human-like text...

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The Clinical Promise and Ethical Pitfalls of Electronic Phenotyping

by Shania Kennedy

As information technology (IT) methods for disease surveillance, predictive analytics, and clinical decision support become more advanced, big data mining will be crucial to ensure tools use large, high-quality datasets. Data mining can...

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...

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...

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...

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...

Ensuring Health Data Collection Protects Patient Privacy, Equity

by Jessica Kent

Since the onset of the COVID-19 pandemic, leaders have developed and deployed health data collection technologies to track virus exposure, monitor outbreaks, and aggregate hospital data. As...

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...

Supporting Secure Data Sharing, Patient Privacy During COVID-19

by Jessica Kent

When COVID-19 began spreading across the US, the healthcare industry quickly moved to improve its secure data sharing practices in order to accelerate research efforts and treatment development. For...

UCSF, Microsoft Develop Privacy-Protecting Data Analytics Tool

by Jessica Kent

UC San Francisco’s Center for Digital Health Innovation (CDHI), Microsoft Azure, Fortanix, and Intel have partnered to design a privacy-preserving data analytics platform that will aim to advance...

Patient Access, Privacy Vital for Integrating Genomic Data in the EHR

by Jessica Kent

Patient access, privacy, and protection are critical in facilitating the integration of genomic data into patient care and the EHR, according to a report from the American College of Medical Genetics...

Artificial Intelligence, Genomics Tools to Help Combat COVID-19

by Jessica Kent

To aid COVID-19 research efforts, NVIDIA has developed new artificial intelligence models, genomic sequencing software, and speech recognition technologies for the medical community. For more...

UPenn, Intel Partner to Use Machine Learning to Detect Brain Tumors

by Jessica Kent

The Perelman School of Medicine at the University of Pennsylvania (Penn Medicine), Intel, and research institutions from around the world will partner to use a privacy-preserving machine learning...

Privacy Protection Key for Using Patient Data to Develop AI Tools

by Jessica Kent

Clinical data should be treated as a public good when used for research or artificial intelligence algorithm development, so long as patients’ privacy is protected, according to a report from the...

How Geographic Data Can Help Address Social Determinants of Health

by Emily Sokol, MPH

A patient’s social determinants of health contribute more to her health than her genetic code or her medical care. These social determinants of health are factors outside of the traditional healthcare setting that impact an...

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