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New tool predicts risk of hospital readmission for children before discharge

New tool predicts risk of hospital readmission for children before discharge

Hospital readmissions are a major problem in the United States, accounting for billions of dollars in health care costs each year. Studies have shown that children are at particularly high risk for readmission, often due to problems with their discharge planning.

Now, there’s a new tool that can help predict which children are at risk for readmission, and it could potentially help hospitals save money and improve patient care.

The tool, developed by researchers at Boston Children’s Hospital, is called the Readmission Risk Score for Children, or ReRiC. It’s a computer-based tool that uses data from a child’s hospital stay to predict the likelihood of readmission within 30 days of discharge.

So far, the tool has been tested on data from more than 400,000 children who were discharged from the hospital between 2009 and 2013. In a validation study, it was found to be accurate more than 80 percent of the time.

The tool could be a valuable tool for hospitals, as it can help them identify which children are at highest risk for readmission and make sure they’re getting the necessary care and attention before they’re discharged. In the long run, it could help reduce the number of readmissions and the associated costs.

According to a new study, a tool that predicts the risk of hospital readmission for children before discharge can help identify those at high risk and help doctors and families plan for follow-up care.

The study, led by researchers at Lucile Packard Children’s Hospital Stanford and the Stanford University School of Medicine, appears in the August 2016 issue of Pediatrics.

The tool, called the Children’s Hospital Readmission Prediction Tool (CHRT), was developed using data from more than 1 million patient visits to children’s hospitals across the country. It uses a patient’s age, diagnosis, and number of days spent in the hospital to predict the risk of readmission within 30 days of discharge.

CHRT was accurate in more than 80 percent of cases, and the researchers say it can be used to identify children at high risk for readmission before they leave the hospital.

The tool is particularly useful for children with complex medical needs, who are more likely to be readmitted to the hospital.

“This tool can help doctors and families plan for post-discharge care, and it can also be used to identify opportunities for preventing readmissions,” said lead author Christopher G. Carroll, MD, MS, assistant professor of pediatrics at Stanford.

Readmissions are a major problem in the U.S. healthcare system, and they are especially common among children with chronic medical conditions. More than one in five children are readmitted to the hospital within 30 days of discharge, and the rate is even higher for children with complex medical needs.

Readmissions are costly and often preventable, and they can lead to worse health outcomes for children.

“Our goal is to reduce readmissions by identifying children at high risk and providing them with the resources they need to avoid coming back to the hospital,” said Carroll.

The CHRT tool is available online, and the researchers are working on developing a mobile app.

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