Identifying patients at increased risk for unplanned readmission.
about
"Big data" and the electronic health record.The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions.Semi-Competing Risks Data Analysis: Accounting for Death as a Competing Risk When the Outcome of Interest Is NonterminalPiloting electronic medical record-based early detection of inpatient deterioration in community hospitals.Nurse value-added and patient outcomes in acute careMeasuring the modified early warning score and the Rothman index: advantages of utilizing the electronic medical record in an early warning systemThe readmission risk flag: using the electronic health record to automatically identify patients at risk for 30-day readmission.Nonelective Rehospitalizations and Postdischarge Mortality: Predictive Models Suitable for Use in Real Time.Rankings matter: nurse graduates from higher-ranked institutions have higher productivity.Using what you get: dynamic physiologic signatures of critical illness.Reflective Practice: A Tool for Readmission Reduction.Development of the Andalusian Registry of Patients Receiving Community Case Management, for the follow-up of people with complex chronic diseases.Derivation and Evaluation of a Risk-Scoring Tool to Predict Participant Attrition in a Lifestyle Intervention Project.Admission Laboratory Results to Enhance Prediction Models of Postdischarge Outcomes in Cardiac Care.Shared decision-making at end-of-life is aided by graphical trending of illness severity.Predictors of returns to the emergency department after head and neck surgery.Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital.Predictors and costs of readmissions at an academic head and neck surgery service.
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P2860
Identifying patients at increased risk for unplanned readmission.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on September 2013
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Identifying patients at increased risk for unplanned readmission.
@en
Identifying patients at increased risk for unplanned readmission.
@nl
type
label
Identifying patients at increased risk for unplanned readmission.
@en
Identifying patients at increased risk for unplanned readmission.
@nl
prefLabel
Identifying patients at increased risk for unplanned readmission.
@en
Identifying patients at increased risk for unplanned readmission.
@nl
P2093
P2860
P1433
P1476
Identifying patients at increased risk for unplanned readmission
@en
P2093
Elizabeth H Bradley
Heather Sipsma
Jason Fletcher
P2860
P304
P356
10.1097/MLR.0B013E3182A0F492
P577
2013-09-01T00:00:00Z