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In an era where modifying a single DNA sequence can cure disabling diseases and a retinal scan can reveal important, unappreciated chronic diseases, the three-decade-old practice of data de-identification has become healthcare's equivalent of using a paper lock in a digital world.

While HIPAA revolutionized patient data protection in 1996, today's interconnected digital landscape has rendered these safeguards obsolete.

Every day, healthcare organizations share vast amounts of "de-identified"…

As the U.S. government leverages data to drive faster, data-driven decision-making, the security of that data is paramount. With the explosion of intelligent IoT devices and the roll-out of 5G, agencies face new challenges in safeguarding data from edge sensors to centralized storage. That’s where Government Acquisitions, Inc.’s (GAI) EdgeShield platform, enhanced with BeeKeeperAI’s EscrowAI, comes in to protect sensitive information and provide actionable insights with unparalleled security.

E…

The collaboration between BeeKeeperAI® and Nordic is breaking down key barriers in the development and deployment of Clinical Decision Support Systems (CDSS), bringing innovative solutions to market faster for greater real-world impact. Together, we tackle the most pressing challenges of CDSS, ensuring that these systems can improve diagnostic accuracy, personalize patient care, and optimize clinical outcomes.

Overcoming Data Privacy and Sovereignty Challenges 

Accessing and computing on real-…

Written by Mary Beth Chalk | Originally Posted on LinkedIn

In a November 6th article in MIT Technology Review entitled, “It’s shockingly easy to buy sensitive data about US military personnel” the author cited that “for as little as $0.12 per record, data brokers in the US are selling sensitive private data about active-duty military members and veterans, including their names, home addresses, geolocation, net worth, . . . religion, and information about their children and health conditions.”

As we bid farewell to 2023, it's time to look back at a year buzzing with achievements and milestones! We've gathered some sweet highlights from our hive in the last quarter to keep you in the loop. 

ACCOLADES & MENTIONS:

We're excited to share with you the buzz others have been spreading about us.

• Becker’s Healthcare IT – Top 50​ - We're thrilled to be recognized among the best!
• A Deep Dive into President Biden’s Executive Order on Safe, Secure, and Trustworthy AI​ – Dr. Salim Afshar high…

SAN FRANCISCO, Calif. — December 12, 2023 — BeeKeeperAI, Inc., a pioneer in privacy-enhancing, multi-party collaboration software, today announced the next step in its innovation strategy for EscrowAI™ with automated, privacy-enhancing workflows to advance the responsible development and deployment of AI for healthcare. 

The company is expanding its novel privacy-enhancing capabilities to address confidential federation and confidential training in ways that continue to accelerate the approval …

Available now in the Microsoft Azure Marketplace, the EscrowAI™ privacy-preserving collaboration platform delivers a zero-trust environment protecting both algorithm intellectual property and real-world data 

SAN FRANCISCO, Calif. — May 17, 2023 — BeeKeeperAI, Inc., a pioneer in zero-trust, real-world data collaboration software, today announced the general availability of EscrowAI^™, a patent-protected zero-trust collaboration platform. EscrowAI leverages Azure confidential computing to resolve…

By Michael S. Blum, MD, CEO of BeeKeeperAI™

Key Points:

• ChatGPT is impacting industry and society in unprecedented ways
• The opportunity for GPTs to improve healthcare delivery is enormous, but the technology is immature and not sufficiently reliable for general healthcare use
• The AI models need additional training on real-world healthcare data to perform adequately in healthcare, but accessing that data is challenging due to patient privacy concerns
• New confidential computing technologies…

Powered by the BeeKeeperAITM sightless computing platform, Novartis scientists used health data from a UCSF patient cohort to refine a disease detection solution for a rare childhood condition