This document summarizes the hospice network requirements outlined in the VBID Request for Applications. More importantly, we offer guidance on what it may mean to the members of the Collaborative and some recommendations for engaging Medicare Advantage Organizations (MAOs) in your markets.
Comparative Performance of a Recurrent Neural Network (RNN) and Logistic Regression (LR) Model to Predict Diabetic Ketoacidosis (DKA) among Youth Post-Diagnosis with Type 1 Diabetes (T1D)
Preventing dangerous and costly episodes of DKA is a goal of diabetes care, but clinicians currently lack the tools to predict DKA events. This study sought to compare performance characteristics of an RNN model with that of a LR model to predict hospital admission for DKA in the next 180 days.
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.
We’ve compiled resources from hospice and palliative care leadership organizations and authorities, in the topics that are most pertinent right now.
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.
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.
AI is used as an example of a capability hindered by the lack of access. But of course, lack of access causes greater harm than just slowing AI adoption.
Grand Rounds by Cyft CEO Dr. Leonard D'Avolio at Children's Mercy Kansas City.
Dr. D’Avolio spoke at BrightHealth’s client conference on the difference between traditional analytics and the need for performance improvement in value-based care.
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.