AI

David Heaney, chief information security officer at Mass General Brigham, explains how genAI can help his team learn and protect. He also discusses best practices for securing data with – and against – AI.

Between healthcare chatbots, smart patient records, doctors armed with predictive analytics and frontline staff often interfacing electronically, patients want healthcare interactions and experiences to be transparent and personalized.

For David Heaney, CISO at Mass General Brigham, generative AI is a "really eager intern." He explains how a cybersecurity team can apply the technology. He also offers peers best practices for securing with and against AI.

Artificial intelligence has the potential to expand a healthcare organization, reaching more patients and improving outcomes. But how can healthcare leaders help their clinical workforce understand the implications and ensure their buy-in?

The chief information security officer at Mass General Brigham knows, and shares his expertise on grasping the cybersecurity environment, knowing where one's controls are deployed and being great at the basics.

There is pain and reward when designing artificial intelligence that improves frontline staff experience, said Mercy Chief Nurse Executive Betty Jo Rocchio in her keynote at the HIMSS AI in Healthcare Forum.

Here’s how to get the most benefit from machine learning and AI.

Also: PatientPay partners to reduce rev cycle friction, two radiology IT rivals join forces and Check Point acquires an AI-powered risk management company.

At HIMSS24 APAC, Mayo Clinic data scientist Dr Alexander Ryu will share best practices in evaluating digital solutions, including AI, for potential integration into clinical practice.

Robert Booker, chief strategy officer at HITRUST, discusses its new AI Risk Management Assessment, and how it can help offer assurance for healthcare organizations using artificial intelligence.