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Doug Meil, author of The Rise and Fall of Explorys and IBM Watson Health: A Personal Memoir of a Healthcare Moonshot that Misfired, discusses some lessons learned from that era, and offers perspective on where artificial intelligence may be headed next.

A QHIN and interoperability pro explains what clean, standardized and interoperable data enables with AI. He also details good governance and standardized frameworks for what constitutes clean data.

Also, Hato Hone St John is testing AI for clinical auditing of its ambulance service.

The standard aims to protect IoT device data, including RFID tags and medical implants. Four configurations focus on two main tasks – authenticated encryption with associated data and hashing.

Also, a new centre for excellence in AI in healthcare will be set up by two public universities in India.

On the provider side, 58% of organizations polled are using AI for administrative tasks, such as medical coding, billing and scheduling, while 44% are deploying it for clinical decision support and imaging analysis.

Also: Three partners will combine advanced analytics, social risk assessments and actuarial validation to measure the impacts of SDOH interventions.

More tech companies, and the government, are needed to address rural healthcare cyberattacks, according to the new Microsoft rural hospital cybersecurity landscape report. 

As the White House-backed project seeks to drive the evolution of artificial intelligence computational processes, demand for GPU servers may push the development of lighter-weight machine learning models, says an ICD researcher.  

The aim of the collaboration is to harness the "leading-edge power of quantum computing to shape the future of healthcare and technology" and create "a robust ecosystem that will attract, educate and retain top talent."