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Mar212020
The Annual Assembly of Hospice and Palliative Care
San Diego, CA - On March 18-21, 2020, Cyft will be at The Annual Assembly of Hospice and Palliative Care, presented by the American Academy of Hospice and Palliative Medicine (AAHPM) and the Hospice and Palliative Nurses Association (HPNA). -
Mar272020
The NHPCO Leadership and Advocacy Conference
National Harbor, MD - On March 25-27, 2020, Cyft will be at the The NHPCO Leadership and Advocacy Conference.
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Hospices Leverage Machine Learning to Improve Care
Hospice News - by Jim Parker - January 14, 2020Cyft and the role machine learning in hospice care were featured in Hospice News.
Beyond Racial Bias: Rethinking Risk Stratification In Health Care
Health Affairs - January 15, 2020 Cyft CEO, Dr. D'Avolio, addresses the shortcomings of healthcare's current approach to risk stratification and offers a path forward.3 questions to ask before investing in machine learning for pop health
Healthcare IT News - December 3, 2019Fundamental issues related to executive support, staff buy-in and patient risk stratification need to be understood and addressed before machine learning applications can help with population health goals.
Putting AI to work for better care at lower cost
Healthcare IT News - July 5, 2019
Leonard D'Avolio, founder and CEO of Cyft, says machine learning is only a means to an end, helping organizations learn from data more quickly and intuitively.
Machine learning is only as good as the value it brings
Healthcare IT News - June 19, 2019
Len D’Avolio, CEO of Cyft and an assistant professor, Harvard Medical School and Brigham and Women’s Hospital, outlined some lessons learned from his perspective – starting with demystifying the process. When looking for potential applications where AI and ML might help, D'Avolio suggested healthcare organizations "fall in love with the problem, not the solution."
‘What can we do better?’ Big data and artificial intelligence to drive health care forward
QEII Times - June 14, 2019
When most people hear the term artificial intelligence (AI), they have a futuristic image ripped straight from the latest action/sci-fi movie in which robots take over the world. But nothing is farther from the truth, according to Dr. Leonard D’Avolio, an assistant professor at Brigham and Women’s Hospital at Harvard Medical School.
Using Data for Change
NEJM Catalyst - February 28, 2019
NEBH is counting on analysis of patient-reported outcomes (PROs) and other critical health care data to guide clinical leadership... By coupling the PROs with other key inputs, NEBH aims to enhance shared decision-making with a predictive modeling tool, currently under development with Cyft...
Exploring the wild and wonderful world of over-the-top AI stock art
Healthcare IT News - November 30, 2018
We speak with Harvard professor and Cyft CEO Len D'Avolio about the wide gap between artificial intelligence in real-world healthcare, and how it's often depicted in sci-fi illustrations.
How deep learning helps match the right patient with the right healthcare
TechRepublic - November 17, 2018
Discover how two tech companies are using deep learning to offer mass personalization in healthcare.
Use your words! Sorting through the confusing terminology of artificial intelligence
Healthcare IT News - November 5, 2018
AI, machine learning, cognitive computing, neural networks? Supervised, unsupervised, semi-supervised? Object recognition, natural language processing? What does it all mean?
The Ongoing Exploration for Artificial Intelligence’s Best Use in Healthcare: One Expert’s Viewpoint
Healthcare Informatics - September 12, 2018
One of the biggest “buzz terms” in healthcare and health IT is undoubtedly artificial intelligence, or AI, but there are still plenty of questions and debate on how AI can best be leveraged to lower costs, industry-wide.
How health care orgs are addressing AI challenges
CIO - August 1, 2018
Health care companies are embracing artificial intelligence for everything from drug research to diagnostics, but challenges centered around privacy, data and the AI ‘black box’ remain.
AI that improves healthcare efficiency also threatens profits
Tech Republic - June 30, 2018
Some medical technologies that use artificial intelligence might benefit patients but result in a drop in health system revenues. This could make widespread adoption of AI in medicine a tough sell.
Reimbursement pressure, tech prowess aids use of AI in healthcare
Health Data Management - May 4, 2018
“In machine learning, thousands of studies have helped us find patterns in data, and most of them are clinical in nature,” D’Avolio says of the work Cyft does. The ability to automate the math is new, however. It enables “anyone who can write code” to find patterns of interest.
Health start-ups are finding profits in serving the poor and elderly
CNBC - April 29, 2018
In health care, people on Medicare and Medicaid are now getting access to the future of medicine. That future is less about expensive tests and procedures but focused instead on keeping people healthy for longer.Value-based care can support adoption of AI that can help to bend the cost curve
MedCity News - April 29, 2018
Last week, panelists at the World Medical Innovation Forum in Boston were unanimous in their assessment that AI will be instrumental in bending the cost curve.
A realistic look at the hype of machine learning and AI
HealthcareITNews - Mar 7, 2018
Emerging analytics technologies are a useful tool, but viewing them as a cure-all hurts the industry.
The mashup approach: How healthcare can save billions on AI and machine learning
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.
Three Keys to Unlocking Data-Driven Health Care
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.
Convincing C-suite to invest in AI: A new mode of ROI
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.
Experts on AI in healthcare: ‘We need to be more realistic’
HealthcareItNews - Oct. 2, 2017
Talking about artificial intelligence as a cure for cancer does doctors, hospitals and patients a disservice
Don’t let IBM’s blunders in health care blind you to the huge benefits of technology in medicine
CNBC, Sept 7, 2017
The key is to understand the needs of a health system, rather than throwing sexy tech at the problem.
Cyft and MedMinder Partner to Improve Care Management
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.Provider Coalition to Use Machine Learning for Type 1 Diabetes
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.
Children’s Mercy, Joslin Diabetes Center to use machine learning for diabetes management
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.
Institutions to Apply AI Models to Type 1 Diabetes
Science and Enterprise June 12, 2017
Two provider organizations partner with Cyft to improve the care of patients with Type 1 diabetes.
Leading Institutions to Focus on Improving Type 1 Diabetes Care with Machine Learning
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.With machine learning and AI in healthcare, can you speak the language?
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 big data is only in its terrible twos
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.”
13 medtech leaders on the role of artificial intelligence in healthcare
Becker's Health IT & CIO Report - May 17, 2017
13 medtech leaders answering the question: What role will artificial intelligence play in healthcare over the next 20 to 30 years?
Frustrated by Big Data? Harvard professor says it’s justified
HealthcareItNews - March 27, 2017The opportunities and challenges of AI in health care
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."
Using Machine Learning to Target Behavioral Health Interventions
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
Machine Learning in Healthcare Takes Another Step
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
Tailoring Healthcare Analytics to a Value-Based Future
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.
Machine learning: Changing everything but healthcare
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
Big Data: Healthcare must move beyond the hype
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.”
Healthcare’s Deadly Data Problem
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.