Hospital Readmissions

NYU Large Language Model Forecasts Hospital Readmissions, Length of Stay

June 9, 2023 - Researchers at New York University (NYU) Grossman School of Medicine have developed a large language model (LLM) capable of predicting multiple clinical outcomes, including readmissions, and the tool has been deployed across NYU Langone Health. The model, called NYUTron, uses unaltered text from EHRs to predict 30-day all-cause readmission,...

Read More


More Articles

Predictive Analytics Tool Identifies Readmission Risk, Reduces Costs

by Shania Kennedy

Corewell Health care coordinators shared that a recent initiative, which uses predictive analytics to forecast risk and reduce readmissions, has kept 200 patients from being readmitted and resulted in...

Predictive Analytics Use EHR Data for Hospital Readmissions

by Shania Kennedy

In a new study published last week in JAMA Network Open, researchers found that a suite of predictive analytics tools leveraging readily available EHR data can accurately identify all-cause 30-day...

Geisinger Chosen as Finalist in CMS Artificial Intelligence Challenge

by Jessica Kent

CMS has selected Geisinger as one of seven finalists in its Artificial Intelligence Health Outcomes Challenge. In collaboration with Medial EarlySign, the health system used artificial intelligence...

Machine Learning Predicts Atrial Fibrillation Hospital Readmissions

by Jessica Kent

A machine learning model was able to predict 90-day hospital readmissions with 85 percent accuracy, according to a study published in Health Services Research and Managerial Epidemiology....

Artificial Intelligence Tools Could Reduce Hospital Readmissions

by Jessica Kent

An artificial intelligence method could reduce 30-day hospital readmissions by an estimated 12 percent, leading to lower annual healthcare costs and improved patient care, according to a study...

Artificial Intelligence May Accelerate Heart Failure Diagnosis

by Jessica Kent

Artificial intelligence-enhanced electrocardiogram (ECG) may be able to accurately detect heart failure in patients being evaluated in the ER for shortness of breath, according to a study published in...

Addressing the Social Determinants of Health with AI, Partnerships

by Jessica Kent

In the healthcare industry today, it is widely understood that optimal health outcomes require addressing patients’ clinical and non-clinical needs – their social determinants of...

Artificial Intelligence Identifies Worsening Heart Failure

by Jessica Kent

Researchers have developed a new wearable sensor that leverages artificial intelligence to identify worsening heart failure before a health crisis occurs, potentially preventing hospital...

Machine Learning Tool Predicts Hospitalizations for Asthma Patients

by Jessica Kent

Using machine learning, researchers developed a more accurate model to predict hospital encounters for asthma patients, which could improve asthma outcomes and reduce care costs, according to a study...

Machine Learning Uses Social Determinants Data to Predict Utilization

by Jessica Kent

A machine learning algorithm accurately predicted inpatient and emergency department (ED) utilization using only publicly available social determinants of health (SDOH) data, showing that it’s...

Cross-Sector AI Partnerships Curb Hospital Readmissions

by Emily Sokol, MPH

Hospital readmissions are associated with billions of dollars in unnecessary healthcare costs. Over 3.3 million readmissions were associated with $41.3 billion in healthcare spending in 2011...

Population Health Management Reduces Pediatric Hospital Stays

by Jessica Kent

Children enrolled in Medicaid who are exposed to a population health management program could experience 50 fewer hospital admissions each month and 3,600 fewer bed-days in a year, according to a study...

Humana, Philips Advance Population Health Management for Members

by Jessica Kent

Humana and Royal Philips are partnering to improve care for high-risk Medicare Advantage members by implementing two new programs that leverage Philips’ population health management and remote...

Geisinger Advances in CMS Artificial Intelligence Challenge

by Jessica Kent

CMS has selected Geisinger and EarlySign, a machine learning company, for their joint proposal in the agency’s Artificial Intelligence Health Outcomes Challenge. The partnering organizations are...

Machine Learning Could Identify Harmful Drug-Drug Interactions

by Jessica Kent

Researchers at Penn State have developed a machine learning tool that analyzes data on drug-drug interactions and may be able to warn providers about potential negative side effects of medication...

Data Analytics Help 84% of Orgs Assess Clinical, Financial Success

by Jessica Kent

Eighty-four percent of healthcare organizations are using data analytics tools to measure improvements in multiple areas, including clinical, financial, or operational processes, a survey from HIMSS...

Machine Learning-Driven Scale Monitors Heart Failure Patients

by Jessica Kent

A medical monitoring scale uses machine learning to track symptoms in heart failure patients, and could potentially lead to fewer hospitalizations and lower care costs, according to research published...

Machine Learning Predicts Bleeding During Coronary Surgery

by Jessica Kent

Researchers at Texas A&M University have developed a machine learning algorithm that can determine the probability of a patient bleeding during or after they have heart surgery, which could help...

Using a Real-Time Data Platform to Cut ED Visits, Care Costs

by Jessica Kent

In its tireless pursuit of better care at lower costs, the healthcare industry has consistently made unnecessary emergency department (ED) visits, hospital readmissions, and drug prescriptions primary...

Recent Articles

Upcoming Webcasts