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Improving Post-Acute Care Value for Veterans

Organization PHILADELPHIA VA MEDICAL CENTERLocation PHILADELPHIA, UNITED STATESPosted 1 Oct 2021Deadline 30 Sept 2025 ⚠️
VANIHUS FederalResearch GrantFY202565 and older65 or older65 years of age and older65 years of age or more65 years of age or older65+ years65+ years oldAcuteAffectAgeAged 65 and OverAlgorithmsAreaBig DataBigDataCaringCharacteristicsCommunitiesCommunity Health CareContracting OpportunitiesContractsDataData SetData SourcesDevelopmentED visitER visitEmergency care visitEmergency department visitEmergency hospital visitEmergency room visitEngineeringEnrollmentExtended Care FacilitiesFee-for-Service PlansFeesFees for ServiceGeriatricsHealth CareHealth Care FacilityHealth FacilitiesHealth Insurance for Aged and Disabled, Title 18Health Insurance for Disabled Title 18HistoryHomeHospital AdmissionHospitalizationHospitalsIndividualInstitutionLeadershipLearningLifeLong-Term CareMachine LearningMarketingMedicaidMedicalMedical RehabilitationMedicareMethodologyMethodsModelingNursing HomesNursing StaffOutcomePatientsPoliciesPopulationPositionPositioning AttributePredicting RiskProcessProviderProxyPublishingQOCQuality of CareQueuing TheoryRecording of previous eventsRehabilitationRehabilitation therapyRiskRisk AdjustmentRoleShapesSiteSkilled Nursing FacilitiesSystemTechniquesTitle 18VariantVariationVeteransWorkabove age 65acute careadverse consequenceadverse event riskadverse outcomeafter age 65age 65 and greaterage 65 and olderage 65 or olderageage of 65 years onwardaged 65 and greateraged 65+aged ≥65agesauthoritycare costscare episodecare facilitiescare providerscommunity carecommunity livingcostdevelopmentalenrollextended careforecasting riskgeriatric medicinehealth economicshealth insurance for disabledhistorieshomeshospital re-admissionhospital readmissionhuman old age (65+)improvedimproved outcomeinnovateinnovationinnovativeinsightmachine based learningmachine learning based methodmachine learning methodmachine learning methodologiesmilitary veteranmodel buildingmortalitynovelnursing homenursing personneloperationoperationsover 65 yearspoint of carepredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive riskpredicts riskre-admissionre-hospitalizationreadmissionrehab therapyrehabilitativerehabilitative therapyrehospitalizationrisk predictionrisk predictionssocial rolesuccesstoolveteran population≥65 years

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Description preview

Background: The transition to a skilled nursing facility (SNF) after an acute hospitalization is one of the most
perilous times in the life of an older Veteran. Veterans undergo more than 250,000 transitions between
hospitals and SNFs annually, but more than 1 in 4 is readmitted to the hospital from SNF and less than half
have returned to the…

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Improving Post-Acute Care Value for Veterans — PHILADELPHIA VA MEDICAL CENTER | UNITED STATES | Oct 2021 | Dev Procure