Towards prevention of acute syndromes: electronic identification of at-risk patients during hospital admission. - Wikidata - wikimedia - TriplyDB

Towards prevention of acute syndromes: electronic identification of at-risk patients during hospital admission.

Towards prevention of acute syndromes: electronic identification of at-risk patients during hospital admission.

http://www.wikidata.org/entity/Q37682068

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Automating Quality Metrics in the Era of Electronic Medical Records: Digital Signatures for Ventilator Bundle Compliance.Retrospective Derivation and Validation of an Automated Electronic Search Algorithm to Identify Post Operative Cardiovascular and Thromboembolic Complications.Fifty Years of Research in ARDS. The Epidemiology of Acute Respiratory Distress Syndrome. A 50th Birthday Review.Elevated Modified Shock Index Within 24 Hours of ICU Admission Is an Early Indicator of Mortality in the Critically Ill.

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Towards prevention of acute syndromes: electronic identification of at-risk patients during hospital admission.

http://www.wikidata.org/entity/Q37682068

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 22 January 2014

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vedecký článok

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vetenskaplig artikel

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vědecký článek

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Towards prevention of acute sy ...... nts during hospital admission.

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Towards prevention of acute sy ...... nts during hospital admission.

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Towards prevention of acute sy ...... nts during hospital admission.

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Towards prevention of acute sy ...... nts during hospital admission.

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Towards prevention of acute sy ...... nts during hospital admission.

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Towards prevention of acute sy ...... nts during hospital admission.

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ACI-2013-07-RA-0045

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Applied clinical informatics

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Towards prevention of acute sy ...... ents during hospital admission

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A Ahmed

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A Akhoundi

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B W Pickering

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C Thongprayoon

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G Wilson

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V Herasevich

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Early goal-directed therapy in the treatment of severe sepsis and septic shock

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Derivation and diagnostic accuracy of the surgical lung injury prediction model.

Accuracy of hospital administrative data in reporting central line-associated bloodstream infections in newborns.

Accuracy of administrative data versus clinical data to evaluate carotid endarterectomy and carotid stenting.

Rapid identification of myocardial infarction risk associated with diabetes medications using electronic medical records.

ICU data mart: a non-iT approach. A team of clinicians, researchers and informatics personnel at the Mayo Clinic have taken a homegrown approach to building an ICU data mart.

Early detection of impending physiologic deterioration among patients who are not in intensive care: development of predictive models using data from an automated electronic medical record.

Early identification of patients at risk of acute lung injury: evaluation of lung injury prediction score in a multicenter cohort study.

Electronic health record components and the quality of care.

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58-72

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scholarly article

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10.4338/ACI-2013-07-RA-0045

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1

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5

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David Pieczkiewicz

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2014-01-22T00:00:00Z

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24734124

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