Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.
about
Checklist for early recognition and treatment of acute illness: International collaboration to improve critical care practiceDiagnostic performance of electronic syndromic surveillance systems in acute care: a systematic reviewData elements and validation methods used for electronic surveillance of health care-associated infections: a systematic reviewA universal decision support system. Addressing the decision-making needs of patients, families, and clinicians in the setting of critical illnessA comparison of administrative and physiologic predictive models in determining risk adjusted mortality rates in critically ill patientsImplementation of an electronic data monitoring system decreases the rate of hyperoxic episodes in premature neonates.Ketamine/propofol admixture (ketofol) at induction in the critically ill against etomidate (KEEP PACE trial): study protocol for a randomized controlled trial.Derivation and validation of a search algorithm to retrospectively identify mechanical ventilation initiation in the intensive care unit.Customized reference ranges for laboratory values decrease false positive alerts in intensive care unit patients.Health information technology: an untapped resource to help keep patients insured.National survey focusing on the crucial information needs of intensive care charge nurses and intensivists: same goal, different demands.Epidemiology of noninvasive mechanical ventilation in acute respiratory failure--a retrospective population-based studyEnrollment into a time sensitive clinical study in the critical care setting: results from computerized septic shock sniffer implementationEffects of changes in intraoperative management on recovery from anesthesia: a review of practice improvement initiativeMapping physicians' admission diagnoses to structured concepts towards fully automatic calculation of acute physiology and chronic health evaluation score.Automating Quality Metrics in the Era of Electronic Medical Records: Digital Signatures for Ventilator Bundle Compliance.Vasopressor use as a surrogate for post-intubation hemodynamic instability is associated with in-hospital and 90-day mortality: a retrospective cohort study.The comparison of the commonly used surrogates for baseline renal function in acute kidney injury diagnosis and stagingTemporal trends in the utilization of vasopressors in intensive care units: an epidemiologic study.Dyschloremia Is a Risk Factor for the Development of Acute Kidney Injury in Critically Ill PatientsPredictors of Delayed Postoperative Respiratory Depression Assessed from Naloxone Administration.Systems modeling and simulation applications for critical care medicine.Comparison of APACHE III, APACHE IV, SAPS 3, and MPM0III and influence of resuscitation status on model performance.The impact of telemonitoring upon hospice referral in the community: a randomized controlled trial.Incidence of and Risk Factors For Post-Intubation Hypotension in the Critically Ill.Outcomes of severe sepsis and septic shock patients on chronic antiplatelet treatment: a historical cohort study.Novel Representation of Clinical Information in the ICU: Developing User Interfaces which Reduce Information Overload.Electronic health record surveillance algorithms facilitate the detection of transfusion-related pulmonary complications.Differentiating infectious and noninfectious ventilator-associated complications: A new challengeDerivation and Validation of a Search Algorithm to Retrospectively Identify CRRT Initiation in the ECMO Patients.The role of potentially preventable hospital exposures in the development of acute respiratory distress syndrome: a population-based study.3D Sensing Algorithms Towards Building an Intelligent Intensive Care UnitComparison of methods of alert acknowledgement by critical care clinicians in the ICU setting.A path to precision in the ICU.New technologies in pediatric anesthesia.Connecting the dots: rule-based decision support systems in the modern EMR era.Validation of computerized automatic calculation of the sequential organ failure assessment score.Autoimmune Encephalitis in the ICU: Analysis of Phenotypes, Serologic Findings, and Outcomes.Critical care for paediatric patients with heart failure.No increase in the incidence of acute kidney injury in a population-based annual temporal trends epidemiology study.
P2860
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P2860
Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Informatics infrastructure for ...... modeling of critical illness.
@ast
Informatics infrastructure for ...... modeling of critical illness.
@en
type
label
Informatics infrastructure for ...... modeling of critical illness.
@ast
Informatics infrastructure for ...... modeling of critical illness.
@en
prefLabel
Informatics infrastructure for ...... modeling of critical illness.
@ast
Informatics infrastructure for ...... modeling of critical illness.
@en
P2093
P2860
P356
P1476
Informatics infrastructure for ...... d modeling of critical illness
@en
P2093
Brian W Pickering
Steve G Peters
Vitaly Herasevich
P2860
P304
P356
10.4065/MCP.2009.0479
P407
P577
2010-03-01T00:00:00Z