A more technical post for those evaluating risk scores for care management, coupled with a real-world example. As healthcare organizations move toward taking on greater financial risk for keeping people healthy, it is critical for organizations to match people to the interventions they’re most likely to benefit from. This has traditionally been done by applying risk scores that are based on
These days, every care management / value-based care organization has a risk score to help target interventions. Unfortunately, these risk scores often frustrate clinicians by directing them to people who cannot benefit from an intervention – either the person is not actually headed for trouble, or the clinician already knew about that person. Why is that? It turns out most
Healthcare is notorious for its lack of consistent and widely adopted data formats. The one consistent exception is the billing information exchanged between payors and providers. These files are often referred to as “claims.” Because of their ubiquity, many of today’s analytical approaches - from epidemiology to public health, actuarial sciences, business intelligence, and risk scores - rely heavily,
Today, June 12, 2017, Children's Mercy Kansas City, Joslin Diabetes Center, Cyft Inc., and The Leona M. and Harry B. Helmsley Charitable Trust are proud to announce the creation of a new learning health system to improve the care of individuals diagnosed with type 1 diabetes (T1D). Starting in mid-2017, Children's Mercy and Joslin will deploy machine learning-enabled solutions to
Peer-reviewed articles show clear benefits of machine learning for healthcare applications Cambridge, Mass – February 8, 2017 – Cyft Inc., a leading provider of machine learning solutions for healthcare, is the result of a decade of research into how machine learning and natural language processing technology can improve healthcare. Cyft is pleased to recognize the publication of three peer-reviewed studies
By now it’s no secret that president-elect Donald Trump intends to vastly restructure our Medicaid Program, meaning that uncertainty is on the horizon for healthcare providers supplying care to over 80 million low-income Americans. Georgia Congressman Tom Price will lead the US Department of Health and Human Services (HHS) under Trump, with many estimating that Medicaid could soon change from
With 30 percent of Medicare payments expected to be tied to alternative payment models and bundled payments by the end of 2016, the pressure is on for healthcare leaders still struggling to align their organizations with the idea of value-based care (VBC). This struggle is compounded further when one considers the push to utilize data analytics, machine learning, natural language
In case you missed it, Cyft CEO Len D’Avolio spoke yesterday at the HIMSS Big Data and Healthcare Analytics Forum in Boston. Healthcare IT News wrote a great piece encapsulating Len’s thoughts and those of his fellow presenters; all who sought to explain the potential impact of machine learning on healthcare. Consistent with our mission at Cyft, this technology could
This week, a great op-ed published in The Wall Street Journal called “Turn Off the Computer and Listen to the Patient” brought a critical healthcare issue to the forefront of the national discussion. In 800 words, the authors (Dr. Caleb Gardner & Dr. John Levinson) succinctly describe the current frustrations physicians experience with electronic medical records (EMRs), in particular the
