FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3084156731> ?p ?o ?g. }

• W3084156731 endingPage "e0238118" @default.
• W3084156731 startingPage "e0238118" @default.
• W3084156731 abstract "New financial incentives, such as reduced Medicare reimbursements, have led hospitals to closely monitor their readmission rates and initiate efforts aimed at reducing them. In this context, many surgical departments participate in the American College of Surgeons National Surgical Quality Improvement Program (NSQIP), which collects detailed demographic, laboratory, clinical, procedure and perioperative occurrence data. The availability of such data enables the development of data science methods which predict readmissions and, as done in this paper, offer specific recommendations aimed at preventing readmissions.This study leverages NSQIP data for 722,101 surgeries to develop predictive and prescriptive models, predicting readmissions and offering real-time, personalized treatment recommendations for surgical patients during their hospital stay, aimed at reducing the risk of a 30-day readmission. We applied a variety of classification methods to predict 30-day readmissions and developed two prescriptive methods to recommend pre-operative blood transfusions to increase the patient's hematocrit with the objective of preventing readmissions. The effect of these interventions was evaluated using several predictive models.Predictions of 30-day readmissions based on the entire collection of NSQIP variables achieve an out-of-sample accuracy of 87% (Area Under the Curve-AUC). Predictions based only on pre-operative variables have an accuracy of 74% AUC, out-of-sample. Personalized interventions, in the form of pre-operative blood transfusions identified by the prescriptive methods, reduce readmissions by 12%, on average, for patients considered as candidates for pre-operative transfusion (pre-operative hematoctic <30). The prediction accuracy of the proposed models exceeds results in the literature.This study is among the first to develop a methodology for making specific, data-driven, personalized treatment recommendations to reduce the 30-day readmission rate. The reported predicted reduction in readmissions can lead to more than $20 million in savings in the U.S. annually." @default.
• W3084156731 created "2020-09-14" @default.
• W3084156731 creator A5018113568 @default.
• W3084156731 creator A5025940525 @default.
• W3084156731 creator A5075696701 @default.
• W3084156731 creator A5079197814 @default.
• W3084156731 date "2020-09-09" @default.
• W3084156731 modified "2023-10-09" @default.
• W3084156731 title "Prescriptive analytics for reducing 30-day hospital readmissions after general surgery" @default.
• W3084156731 cites W1821062527 @default.
• W3084156731 cites W1912901208 @default.
• W3084156731 cites W1980379005 @default.
• W3084156731 cites W2066036494 @default.
• W3084156731 cites W2068136962 @default.
• W3084156731 cites W2070493638 @default.
• W3084156731 cites W2129935013 @default.
• W3084156731 cites W2129997990 @default.
• W3084156731 cites W2130647897 @default.
• W3084156731 cites W2130845382 @default.
• W3084156731 cites W2204794060 @default.
• W3084156731 cites W2425757744 @default.
• W3084156731 cites W2539929815 @default.
• W3084156731 cites W2594917386 @default.
• W3084156731 cites W2604736517 @default.
• W3084156731 cites W2808189564 @default.
• W3084156731 cites W2903277834 @default.
• W3084156731 cites W2911964244 @default.
• W3084156731 cites W2936950879 @default.
• W3084156731 cites W2963989903 @default.
• W3084156731 cites W2968115216 @default.
• W3084156731 doi "https://doi.org/10.1371/journal.pone.0238118" @default.
• W3084156731 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7480861" @default.
• W3084156731 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32903282" @default.
• W3084156731 hasPublicationYear "2020" @default.
• W3084156731 type Work @default.
• W3084156731 sameAs 3084156731 @default.
• W3084156731 citedByCount "4" @default.
• W3084156731 countsByYear W30841567312021 @default.
• W3084156731 countsByYear W30841567312023 @default.
• W3084156731 crossrefType "journal-article" @default.
• W3084156731 hasAuthorship W3084156731A5018113568 @default.
• W3084156731 hasAuthorship W3084156731A5025940525 @default.
• W3084156731 hasAuthorship W3084156731A5075696701 @default.
• W3084156731 hasAuthorship W3084156731A5079197814 @default.
• W3084156731 hasBestOaLocation W30841567311 @default.
• W3084156731 hasConcept C141071460 @default.
• W3084156731 hasConcept C151730666 @default.
• W3084156731 hasConcept C159110408 @default.
• W3084156731 hasConcept C162324750 @default.
• W3084156731 hasConcept C175444787 @default.
• W3084156731 hasConcept C17744445 @default.
• W3084156731 hasConcept C177713679 @default.
• W3084156731 hasConcept C194828623 @default.
• W3084156731 hasConcept C198783460 @default.
• W3084156731 hasConcept C199539241 @default.
• W3084156731 hasConcept C21547014 @default.
• W3084156731 hasConcept C27415008 @default.
• W3084156731 hasConcept C2779343474 @default.
• W3084156731 hasConcept C2779473830 @default.
• W3084156731 hasConcept C29122968 @default.
• W3084156731 hasConcept C31174226 @default.
• W3084156731 hasConcept C545542383 @default.
• W3084156731 hasConcept C71405471 @default.
• W3084156731 hasConcept C71924100 @default.
• W3084156731 hasConcept C86803240 @default.
• W3084156731 hasConceptScore W3084156731C141071460 @default.
• W3084156731 hasConceptScore W3084156731C151730666 @default.
• W3084156731 hasConceptScore W3084156731C159110408 @default.
• W3084156731 hasConceptScore W3084156731C162324750 @default.
• W3084156731 hasConceptScore W3084156731C175444787 @default.
• W3084156731 hasConceptScore W3084156731C17744445 @default.
• W3084156731 hasConceptScore W3084156731C177713679 @default.
• W3084156731 hasConceptScore W3084156731C194828623 @default.
• W3084156731 hasConceptScore W3084156731C198783460 @default.
• W3084156731 hasConceptScore W3084156731C199539241 @default.
• W3084156731 hasConceptScore W3084156731C21547014 @default.
• W3084156731 hasConceptScore W3084156731C27415008 @default.
• W3084156731 hasConceptScore W3084156731C2779343474 @default.
• W3084156731 hasConceptScore W3084156731C2779473830 @default.
• W3084156731 hasConceptScore W3084156731C29122968 @default.
• W3084156731 hasConceptScore W3084156731C31174226 @default.
• W3084156731 hasConceptScore W3084156731C545542383 @default.
• W3084156731 hasConceptScore W3084156731C71405471 @default.
• W3084156731 hasConceptScore W3084156731C71924100 @default.
• W3084156731 hasConceptScore W3084156731C86803240 @default.
• W3084156731 hasFunder F4320306076 @default.
• W3084156731 hasFunder F4320332161 @default.
• W3084156731 hasFunder F4320337345 @default.
• W3084156731 hasFunder F4320337354 @default.
• W3084156731 hasIssue "9" @default.
• W3084156731 hasLocation W30841567311 @default.
• W3084156731 hasLocation W30841567312 @default.
• W3084156731 hasLocation W30841567313 @default.
• W3084156731 hasLocation W30841567314 @default.
• W3084156731 hasLocation W30841567315 @default.
• W3084156731 hasOpenAccess W3084156731 @default.
• W3084156731 hasPrimaryLocation W30841567311 @default.
• W3084156731 hasRelatedWork W2109750681 @default.

• next