Cyft | Resources
Strategies for Prioritizing Outreach to Prevent COVID-19 Related Hospitalizations
Strategies for Prioritizing Outreach to Prevent COVID-19 Related Hospitalizations Last updated April 17, 2020 4:06 p.m. ET With the risk of COVID-19 overwhelming hospital systems, many healthcare organizations are considering how best to use their existing resources (primary care providers, advanced practitioners, nurses, care managers, etc.) to help prevent COVID-19 related hospital admissions. Having worked with several organizations on outreach
COVID-19 Resources for Palliative Care Providers
Maintained by Caitlin Brennan, NP, PhD. Last updated Wednesday, April 21st, 2020. The rapid onset of the COVID-19 pandemic has placed an intense call to action on palliative and hospice clinicians to augment their ways of providing care to accommodate the increase in morbidity, mortality, and inpatient admissions associated with the virus. Below, we’ve compiled resources from hospice and
End-to-End Healthcare AI Pipelining
The Cyft Supermarket Being able to build state-of-the-art models regularly is much harder and takes much longer if you don’t have a robust repeatable pipeline to process your data. This gets even more unwieldy if you’re trying to do that in a team, where one giant notebook doesn’t cut it. You also need a way to scale up to process
Progress and Barriers Bringing Palliative Care to Medicare Advantage Populations
Insights from the September 25th Medicare Advantage Learning Community As a nurse practitioner in palliative care, I am excited. The Center to Advance Palliative Care (CAPC) and End-of-Life Nursing Education Consortium (ELNEC) both celebrate their 20-year anniversaries this year. Today, almost three quarters of U.S. hospitals with fifty or more beds report having a palliative care team. ELNEC has trained over 24,000 nurses in train-the-trainer courses. Integrated health
The inconvenient truth about “The ‘inconvenient truth’ about AI in healthcare”
Drs. Panch, Mattie, and Celi recently published an article in Nature’s Partner Journal, Digital Medicine titled, “The ‘Inconvenient Truth’ About AI in Healthcare.” It’s a thought-provoking piece and I recommend taking the time to read it. They identify a huge problem in healthcare. But as brilliant as the three authors are, and as much as I hate to disagree
A Manager’s Guide to Making Machine Learning Work in the Real World
There’s plenty of coverage on what machine learning may do for healthcare and when. Painfully little has been written for non-technical healthcare leaders whose job it is to successfully execute in the real world with real returns. It’s time to address that gap for two reasons. First, if you are responsible for improving care, operations, and / or the bottom