Readmission risk stratification decision support tools in the EMR (such as LACE) improve quality, contain costs, and align organizations with national health care reform initiatives by predicting, trending, and proactively managing the risks of a hospitalized patient’s readmission. This session discusses the valuable role support tools play and how patients can become proactively engaged in their own care through activation of these targeted resources.
Contact hours available until 5/4/2015.
Requirements for Successful Completion: Complete the learning activity in its entirety and complete the online CNE evaluation.
Faculty, Planners and Authors Conflict of Interest Disclosure: Planning Committee: Laurie Levknecht discloses other financial or material support as an employee of Elsevier CPM Resource Center.
Commercial Support and Sponsorship: No commercial support or sponsorship declared.
Non-Endorsement of Products: Accreditation of activities for contact hours does not imply approval or endorsement of any product, advertising, or educational content by ANIA, Anthony J. Jannetti Inc., or the American Nurses Credentialing Center’s Commission on Accreditation.
Accreditation Statement: This educational activity is jointly provided by Anthony J. Jannetti, Inc. (AJJ) and ANIA.
Anthony J. Jannetti, Inc. is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center's Commission on Accreditation.
Anthony J. Jannetti, Inc. is a provider approved by the California Board of Registered Nursing, provider number, CEP 5387.
Describe the importance of combining decision support systems and evidence-based practices.
Identify the parameters and metrics used to calculate a LACE readmission risk score.
Stratify scores to activate a plan that both focuses resources and escalates post-discharge interventions for at-risk hospitalized patients.