Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*.
about
Accuracy of a Wrist-Worn Wearable Device for Monitoring Heart Rates in Hospital Inpatients: A Prospective Observational StudyIdentifying Patients With Sepsis on the Hospital Wards.Big data analytics to improve cardiovascular care: promise and challenges.Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.Multicenter development and validation of a risk stratification tool for ward patients.Differences in vital signs between elderly and nonelderly patients prior to ward cardiac arrest.Obstructive sleep apnea and adverse outcomes in surgical and nonsurgical patients on the wards.Prediction of Clinical Deterioration in Hospitalized Adult Patients with Hematologic Malignancies Using a Neural Network ModelMonitoring cardiorespiratory instability: Current approaches and implications for nursing practice.Early intervention of patients at risk for acute respiratory failure and prolonged mechanical ventilation with a checklist aimed at the prevention of organ failure: protocol for a pragmatic stepped-wedged cluster trial of PROOFCheckReal-Time Automated Sampling of Electronic Medical Records Predicts Hospital Mortality.Utilizing Chinese Admission Records for MACE Prediction of Acute Coronary Syndrome.Early warning system scores for clinical deterioration in hospitalized patients: a systematic review.Participatory design of probability-based decision support tools for in-hospital nurses.Findings from the Clinical Information Systems PerspectiveCardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study.A rule-based electronic phenotyping algorithm for detecting clinically relevant cardiovascular disease casesDevelopment of a Multicenter Ward-Based AKI Prediction Model.Real-Time Risk Prediction on the Wards: A Feasibility Study.Temporal patterns of change in vital signs and Cardiac Arrest Risk Triage scores over the 48 hours preceding fatal in-hospital cardiac arrest.Association Between Opioid and Benzodiazepine Use and Clinical Deterioration in Ward Patients.The Golden Hours of AKI: Is Oxygen Delivery the Key?Association Between In-Hospital Critical Illness Events and Outcomes in Patients on the Same Ward.Change in blood pressure variability in patients with acute ischemic stroke and its effect on early neurologic outcome.Use of wearable devices for post-discharge monitoring of ICU patients: a feasibility study.Clinical and Sociocultural Factors Associated With Failure to Escalate Care of Deteriorating Patients.Accuracy of a Wrist-Worn Heart Rate Sensing Device during Elective Pediatric Surgical Procedures.Advancing In-Hospital Clinical Deterioration Prediction Models
P2860
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P2860
Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*.
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Using electronic health record ...... dverse outcomes in the wards*.
@ast
Using electronic health record ...... dverse outcomes in the wards*.
@en
type
label
Using electronic health record ...... dverse outcomes in the wards*.
@ast
Using electronic health record ...... dverse outcomes in the wards*.
@en
prefLabel
Using electronic health record ...... dverse outcomes in the wards*.
@ast
Using electronic health record ...... dverse outcomes in the wards*.
@en
P2093
P2860
P1476
Using electronic health record ...... dverse outcomes in the wards*.
@en
P2093
Dana P Edelson
Matthew M Churpek
Robert Gibbons
Seo Young Park
Trevor C Yuen
P2860
P304
P356
10.1097/CCM.0000000000000038
P407
P577
2014-04-01T00:00:00Z