HealthcareITNews - Mar 7, 2018

Emerging analytics technologies are a useful tool, but viewing them as a cure-all hurts the industry.

HealthcareITNews - Dec 13, 2017

Hospitals should look to automotive, search and business process management realms for lessons learned about artificial intelligence, machine learning and cognitive computing.

Harvard Business Review - Oct. 14, 2017

Health systems should seek to align with stakeholders on value, bring predictive and prescriptive analytics to personalized care, and further engage and educate patients in their own care.

HealthcareItNews - Oct. 27, 2017

While it is harder to convince the C-suite that investing in advanced analytics tools makes sense, key pillars in the ROI statement should make that clear.

HealthcareItNews - Oct. 2, 2017

Talking about artificial intelligence as a cure for cancer does doctors, hospitals and patients a disservice

CNBC, Sept 7, 2017

The key is to understand the needs of a health system, rather than throwing sexy tech at the problem.

PR Newswire , Sept 5, 2017

"We couldn't be more impressed with MedMinder's vision, technology, and business model and look forward to working together to improve care for those who need it most." - Leonard D'Avolio, Ph.D., CEO and Cofounder of Cyft.

Health IT Analytics, June 13, 2017

A children’s hospital and diabetes research center are evaluating techniques using artificial intelligence to better identify and manage the care of people with type 1 diabetes.

Becker's Health IT @ CIO Review, June 12, 2017

Children's Mercy Kansas City (Mo.) and Boston-based Joslin Diabetes Center will deploy predictive models for Type 1 diabetes management using technology from Cambridge, Mass.-based Cyft.

Science and Enterprise June 12, 2017

Two provider organizations partner with Cyft to improve the care of patients with Type 1 diabetes.

PR Newswire , June 12, 2017

Children's Mercy Kansas City and Joslin Diabetes Center announce a three-year project with Cyft to apply predictive analytics to proactively identify and manage at-risk individuals.

HealthcareITNews  - June 8, 2017

"I'm less concerned about about the subtle differences between machine learning and AI," he said. "For healthcare, it's more important to start with: What problems are we solving?"

Healthcare IT News, May 15, 2017

Tech is the enabler, but it’s people and process that improve care. If you cannot embed it into the complex workflows of healthcare, it won’t help anyone.”

HealthcareItNews - March 27, 2017

VentureBeat - February 14, 2017

"There’s a misconception that AI requires huge amounts of data. The real issue is understanding the context into which you are trying to introduce this technology."

HealthIT Analytics - February 06, 2017

"There is a tremendously exciting opportunity to use machine learning to improve those processes and dig deeper into that data and all the other variables that impact an individual’s life.” -  Dr. Emma Stanton, Associate Chief Medical Officer for Beacon Health Options on the Cyft / Beacon partnership

HealthLeaders Media - November 29, 2016

"Get ready for the next wave of predictive analytics, capable of identifying future admissions and health plan disenrollments." - Scott Mace

Healthcare Informatics - November 14, 2016

“As value-based care organizations are now discovering, these multi-million dollar investments in traditional analytics are useful for understanding what happened—how many beds were filled, drugs prescribed, surgeries performed. However, they are incapable of answering the fundamental questions of value-based care: what should happen, to whom, when, and how, in order to prevent future events.”

Leonard D’Avolio and Rajiv Levanthal discuss the future of healthcare analytics and it looks very different than our current reality.

HealthcareIt News - October 25, 2016

"The math is done, that game is over," D’Avolio said. "We’re past the point of these technologies needing to be limited to a few users." A wrap up of Dr. D’Avolio’s HIMSS Big Data and Analytics Conference Keynote Address

HealthcareIt News - September 28, 2016

“Either we are reading about how Big Data will cure cancer or about how it’s foolish to believe Big Data will replace doctors,” D’Avolio said. “I think the narrative should be in the middle, where we are talking about these technologies as tools that could be used to complement the work of not just clinicians but also healthcare administrators, operational leaders and others.”

The Health Care Blog - Oct 26, 2015

Our inability to use data in healthcare cost billions in treasure and thousands in lives each year. Dr. D’Avolio dives deeper into Healthcare’s Deadly Data Problem.