Matches in SemOpenAlex for { <https://semopenalex.org/work/W2038561631> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W2038561631 endingPage "45" @default.
- W2038561631 startingPage "45" @default.
- W2038561631 abstract "<ns4:p><ns4:bold>Objectives:</ns4:bold> Alarm fatigue from high false alarm rate is a well described phenomenon in the intensive care unit (ICU). Progress to further reduce false alarms must employ a new strategy. Highly sensitive alarms invariably have a very high false alarm rate. Clinically useful alarms have a high Positive-Predictive Value. Our goal is to demonstrate one approach to suppressing false alarms using an algorithm that correlates information across sensors and replicates the ways that human evaluators discriminate artifact from real signal.</ns4:p><ns4:p><ns4:bold>Methods:</ns4:bold> After obtaining IRB approval and waiver of informed consent, a set of definitions, (hypovolemia, left ventricular shock, tamponade, hemodynamically significant ventricular tachycardia, and hemodynamically significant supraventricular tachycardia), were installed in the monitors in a 10 bed cardiothoracic ICU and evaluated over an 85 day study period. The logic of the algorithms was intended to replicate the logic of practitioners, and correlated information across sensors in a way similar to that used by practitioners. The performance of the alarms was evaluated via a daily interview with the ICU attending and review of the tracings recorded over the previous 24 hours in the monitor. True alarms and false alarms were identified by an expert clinician, and the performance of the algorithms evaluated using the standard definitions of sensitivity, specificity, positive predictive value, and negative predictive value.</ns4:p><ns4:p><ns4:bold>Results:</ns4:bold> Between 1 and 221 instances of defined events occurred over the duration of the study, and the positive predictive value of the definitions varied between 4.1% and 84%.</ns4:p><ns4:p><ns4:bold>Conclusions:</ns4:bold> Correlation of information across alarms can suppress artifact, increase the positive predictive value of alarms, and can employ more sophisticated definitions of alarm events than present single-sensor based systems.</ns4:p>" @default.
- W2038561631 created "2016-06-24" @default.
- W2038561631 creator A5020361635 @default.
- W2038561631 creator A5027882400 @default.
- W2038561631 date "2012-11-08" @default.
- W2038561631 modified "2023-10-18" @default.
- W2038561631 title "Correlating data from different sensors to increase the positive predictive value of alarms: an empiric assessment" @default.
- W2038561631 cites W1991254270 @default.
- W2038561631 cites W2002971490 @default.
- W2038561631 cites W2026234685 @default.
- W2038561631 cites W2073840058 @default.
- W2038561631 cites W2109197536 @default.
- W2038561631 doi "https://doi.org/10.12688/f1000research.1-45.v1" @default.
- W2038561631 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3752621" @default.
- W2038561631 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24358810" @default.
- W2038561631 hasPublicationYear "2012" @default.
- W2038561631 type Work @default.
- W2038561631 sameAs 2038561631 @default.
- W2038561631 citedByCount "10" @default.
- W2038561631 countsByYear W20385616312014 @default.
- W2038561631 countsByYear W20385616312015 @default.
- W2038561631 countsByYear W20385616312017 @default.
- W2038561631 countsByYear W20385616312018 @default.
- W2038561631 countsByYear W20385616312019 @default.
- W2038561631 countsByYear W20385616312020 @default.
- W2038561631 countsByYear W20385616312022 @default.
- W2038561631 crossrefType "journal-article" @default.
- W2038561631 hasAuthorship W2038561631A5020361635 @default.
- W2038561631 hasAuthorship W2038561631A5027882400 @default.
- W2038561631 hasBestOaLocation W20385616311 @default.
- W2038561631 hasConcept C126322002 @default.
- W2038561631 hasConcept C127413603 @default.
- W2038561631 hasConcept C146978453 @default.
- W2038561631 hasConcept C2779119184 @default.
- W2038561631 hasConcept C3019719930 @default.
- W2038561631 hasConcept C71924100 @default.
- W2038561631 hasConceptScore W2038561631C126322002 @default.
- W2038561631 hasConceptScore W2038561631C127413603 @default.
- W2038561631 hasConceptScore W2038561631C146978453 @default.
- W2038561631 hasConceptScore W2038561631C2779119184 @default.
- W2038561631 hasConceptScore W2038561631C3019719930 @default.
- W2038561631 hasConceptScore W2038561631C71924100 @default.
- W2038561631 hasLocation W20385616311 @default.
- W2038561631 hasLocation W20385616312 @default.
- W2038561631 hasLocation W20385616313 @default.
- W2038561631 hasLocation W20385616314 @default.
- W2038561631 hasOpenAccess W2038561631 @default.
- W2038561631 hasPrimaryLocation W20385616311 @default.
- W2038561631 hasRelatedWork W1966745411 @default.
- W2038561631 hasRelatedWork W2065836303 @default.
- W2038561631 hasRelatedWork W2080491855 @default.
- W2038561631 hasRelatedWork W2109197536 @default.
- W2038561631 hasRelatedWork W2748952813 @default.
- W2038561631 hasRelatedWork W2899084033 @default.
- W2038561631 hasRelatedWork W2948807893 @default.
- W2038561631 hasRelatedWork W3173606202 @default.
- W2038561631 hasRelatedWork W2778153218 @default.
- W2038561631 hasRelatedWork W3110381201 @default.
- W2038561631 hasVolume "1" @default.
- W2038561631 isParatext "false" @default.
- W2038561631 isRetracted "false" @default.
- W2038561631 magId "2038561631" @default.
- W2038561631 workType "article" @default.