Predicting preventable hospital visits for homecare patients

Homecare-CONCERN: Building risk models for preventable hospitalizations and emergency department visits in homecare

NIH-funded research Visiting Nurse Service of New York · NIH-10664876

This study is working on a new tool to help homecare patients who might need extra support to avoid unnecessary hospital visits, making it easier for healthcare providers to spot those who could benefit from more care.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionVisiting Nurse Service of New York NIH-funded
Lab location1 site (New York, United States)
Project IDNIH-10664876 on NIH RePORTER

What this research studies

This research focuses on developing a risk prediction model called Homecare-CONCERN to identify homecare patients at risk of preventable hospitalizations and emergency department visits. By analyzing clinical notes using advanced data science techniques, the project aims to enhance the timely identification of patients who may need additional care. The research team will validate this model and create a clinical decision support tool to assist healthcare providers in making informed decisions about patient care. Ultimately, the goal is to reduce unnecessary hospital visits and improve patient outcomes in homecare settings.

Who could benefit from this research

Good fit: Ideal candidates for this research are older adults receiving homecare services who may be at risk for hospital admissions or emergency department visits.

Not a fit: Patients who are not receiving homecare services or those with conditions that do not lead to preventable hospitalizations may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could significantly reduce preventable hospitalizations and emergency department visits for homecare patients, leading to better health outcomes and lower healthcare costs.

How similar studies have performed: Other research has shown success in using predictive modeling and data science approaches to improve patient outcomes in healthcare settings, indicating that this approach has potential.

Where this research is happening

New York, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.