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Home | Scores Predict Readmission Likelihood
Scores Predict Readmission Likelihood
Through a simple risk score, a team from Brigham and Women's Hospital in Boston, collaborating with a team in Bern, Switzerland, say they can identify roughly one-fourth of a hospital's patient population with the highest likelihood of being readmitted, and then within that group the 18% whose readmissions were potentially avoidable, for whom more expensive, intensive efforts might be worth the money. Continue reading the article.
Readmissions is an area of interest to INQRI. Grantees Dr. Marianne Weiss and Dr. Olga Yakusheva have conducted research on the discharge process and it's relationship to readmissions. Learn more about their work:
View "Nurse and patient perceptions of discharge readiness in relation to postdischarge utilization."
View "Age-related differences in perception of quality of discharge teaching and readiness for hospital discharge."
View "Quality and cost analysis of nurse staffing, discharge preparation, and postdischarge utilization."
Blogger Publish Date:April 5, 2013