Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital

Author:

Maali Yashar,Perez-Concha OscarORCID,Coiera Enrico,Roffe David,Day Richard O.,Gallego Blanca

Funder

National Health and Medical Research Council

St Vincent’s Clinic Foundation

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference41 articles.

1. Zhou H, Della PR, Roberts P, Goh L, Dhaliwal SS. Utility of models to predict 28-day or 30-day unplanned hospital readmissions: an updated systematic review. BMJ Open. 2016;6(6):e011060.

2. Joynt KE, Jha AK. A path forward on Medicare readmissions. N Engl J Med. 2013;368(13):1175–7.

3. Refining the hospital readmissions reduction program. Report to the Congress: Medicare and the Health Care Delivery System. ch. 2013;4:91–114. Medicare Payment Advisory Commission. Washington, D.C., United States of America. http://www.medpac.gov/docs/default-source/reports/jun13_ch04.pdf .

4. Spotlight on measurement: return to acute care following hospitalisation. Spotlight on readmissions. Sydney, NSW: BHI. July 2009 – June 2012.

5. Joynt KE, Jha AK. Thirty-day readmissions — truth and consequences. N Engl J Med. 2012;366(15):1366–9.

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