Artificial Intelligence

Healthcare organizations (HCOs) continue to face challenges in hiring and staffing retention, compounded by patients’ shifting expectations. Best-in-Class HCOs with “next-gen” patient care programs that deliver excellent clinical results and patient experiences through deploying artificial intelligence (AI) and automation are seeing significant performance success. This eBook explains how Aberdeen’s research identified these Best-in-Class HCOs, as well as defining the technologies these organizations are using to help them proactively meet patient needs throughout the care journey.

It's fair to be wary of AI in healthcare, but using proven technology to help do easily automatable tasks is a no-brainer, says the CMO of EmpowerMe.

Outlining the steps to create patient-owned care journeys.

Through its platform, MDClone allows clinicians to quickly gather actionable insights from patient data without waiting for analysis and interpretation from data scientists, says Ziv Ofek, its cofounder and CEO.   

The tools will use artificial intelligence to protect data centers by authorizing access and detecting intruders.

The World Health Organization's new genAI chatbot highlights the need for caution and responsibility when deploying and using such technologies.

Cancer patients and caregivers will receive free access to an AI-enabled app for mental health and other support services.  

The Veterans Affairs Office of Information and Technology finds artificial intelligence-driven clinical documentation is helping to solve physician burnout, but the value for benefits administration is yet to be determined.

Where can smaller hospitals and health systems begin with artificial intelligence? Brent T. Hoard, a partner at Troutman Pepper and AI expert, says most likely with a vendor. He elaborates on this and much more advice.

UCSF Health and the university's clinical informatics division plan to develop a real-time and automated artificial intelligence monitoring platform for clinical care.