How to Predict 30-Day Readmission

Adv Surg. 2018 Sep;52(1):101-111. doi: 10.1016/j.yasu.2018.03.015. Epub 2018 Jun 19.

Authors

Tyler S Wahl¹, Mary T Hawn²

Affiliations

¹ Department of Surgery, University of Alabama at Birmingham, 1722 7th Avenue South, Kracke Building 217, Birmingham, AL 35249, USA.
² Surgery, Stanford University, Alway Building M121, 300 Pasteur Drive, MC 5115, Stanford, CA 94305, USA. Electronic address: mhawn@stanford.edu.

PMID: 30098606
DOI: 10.1016/j.yasu.2018.03.015

No abstract available

Keywords: Predict; Readmission; Surgical outcomes.

Publication types

Review

MeSH terms

Female
Humans
Incidence
Male
Outcome Assessment, Health Care*
Patient Discharge / statistics & numerical data
Patient Readmission / statistics & numerical data*
Perioperative Care
Predictive Value of Tests
Risk Assessment
Surgical Procedures, Operative / adverse effects*
Surgical Procedures, Operative / methods
United States