Healthcare AI Strategy for Value-adding Investment

AI in Healthcare Newsletter from February 11, 2019

How to Scope and Target your First AI Project

More is not always better when it comes to a first project involving AI. Choosing the right target and scope can lead not only to a short-term tactical success, but also the longevity of an effective AI initiative. Industry veteran Andrew Ng share his perspective on general guidelines for starting an AI project.

A Sampling of Healthcare AI Projects

Just as a picture is worth a thousand words, another hospital's AI implementation is worth a thousand articles praising AI in healthcare. What AI investments have paid off for hospitals and clinics across the US, and what can be learned from their adoption and innovation?

Data is the New Oil, but How to Start the Engine?

While organizations invest in data and AI initiatives, implementation is challenging. Surprisingly, fewer and fewer organizations see themselves as being data-driven, even as the desire to become data-driven permeates through industries. The good news? Healthcare executives' participation in the data analytics & AI study nearly doubled this year. Read the full survey here.

AI as Guardian of the Doctor-Patient Relationship

Healthcare AI can provide administrative support, automate redundancies, and improve quality and precision of patient communications workflows. A resident orthopaedic surgeon at Cleveland Clinic speaks out on how AI may add value to the data collection and management processes in healthcare, to the benefit of clinicians and patients alike.