FAM-FACE-SG: a score for risk stratification of frequent hospital admitters

Author:

Low Lian Leng,Liu Nan,Lee Kheng Hock,Ong Marcus Eng Hock,Wang Sijia,Jing Xuan,Thumboo Julian

Funder

Singapore Ministry of Health

SingHealth Foundation

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference30 articles.

1. Kansagara D, et al. Risk prediction models for hospital readmission: a systematic review. JAMA. 2011;306(15):1688–98.

2. Low LL, Liu N, Wang S, Thumboo J, Ong ME, Lee KH. Predicting frequent hospital admission risk in Singapore: a retrospective cohort study to investigate the impact of comorbidities, acute illness burden and social determinants of health. BMJ Open. 2016;6(10):e012705.

3. “Readmissions Reduction Program.” [Online]. Available: https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps/readmissions-reduction-program.html . Accessed 5 May 2016.

4. Chechulin Y, Nazerian A, Rais S, Malikov K. Predicting patients with high risk of becoming high-cost healthcare users in Ontario (Canada). Healthc Policy. 2014;9(3):68–79.

5. Rais S, Nazerian A, Ardal S, Chechulin Y, Bains N, Malikov K. High-cost users of Ontario’s healthcare services. Healthc Policy. 2013;9(1):44–51.

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