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Big data combined with clinical insight: identification of patients at-risk for 30-day readmission to be included in prevention interventions Cover

Big data combined with clinical insight: identification of patients at-risk for 30-day readmission to be included in prevention interventions

Open Access
|Oct 2018

Authors

Natalie Flaks-Manov

NatalieFl@clalit.org.il

Clalit Research Institute, Chief Physician Office, Clalit Health Services

Einav Srulovici

NatalieFl@clalit.org.il

Clalit Research Institute, Chief Physician Office, Clalit Health Services; Faculty of Social Welfare and Health Sciences, University of Haifa

Rina Yahalom

NatalieFl@clalit.org.il

Hospital Division, Clalit Health Services

Henia Peri-Mazra

NatalieFl@clalit.org.il

Hospital Division, Clalit Health Services

Moshe Hoshen

NatalieFl@clalit.org.il

Clalit Research Institute, Chief Physician Office, Clalit Health Services

Ran Balicer

NatalieFl@clalit.org.il

Clalit Research Institute, Chief Physician Office, Clalit Health Services

Efrat Shadmi

NatalieFl@clalit.org.il

Clalit Research Institute, Chief Physician Office, Clalit Health Services; Faculty of Social Welfare and Health Sciences, University of Haifa
DOI: https://doi.org/10.5334/ijic.s2010 | Journal eISSN: 1568-4156
Language: English
Published on: Oct 23, 2018
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Natalie Flaks-Manov, Einav Srulovici, Rina Yahalom, Henia Peri-Mazra, Moshe Hoshen, Ran Balicer, Efrat Shadmi, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.