Implementation of the Lace Tool to Predict and Prevent Hospital Readmissions

Pizarro, Patricia A.

Dissertation

Implementation of the Lace Tool to Predict and Prevent Hospital Readmissions

Public Deposited

Hospital readmissions have contributed to the increasing costs of healthcare. the reasons for readmissions are often varied and complex. Identifying high-risk patients upon their arrival to the emergency room should be a part of a hospital's readmission reduction strategy. This study will investigate whether the implementation of a risk stratification tool to identify high-risk patients admitted through the emergency department of a medical center in Northern New jersey will reduce the occurrence of hospital readmissions within thirty days of discharge. This project uses the LACE Tool to identify patients over age 65 with a diagnosis of congestive heart failure who are admitted through the emergency department and are at high risk for readmission. the LACE tool scores patients based on their risk level and enables hospital staff to allocate appropriate resources to improving patient outcomes and reducing readmissions. the utilization of this tool at the study location will potentially improve the institution's financial standing and improve Quality and Safety Report outcomes, which are made public by the Centers for Medicare and Medicaid Services.

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