Mobile Health Systems that Optimize Resources in Emergency Response Situations.

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dc.contributor.authorMassey, Tammara
dc.contributor.authorGao, Tia
dc.date.accessioned2020-02-06T17:45:20Z
dc.date.available2020-02-06T17:45:20Z
dc.date.issued2011-02-24
dc.description.abstractDuring mass casualty incidents a large number of patients need to be triaged accurately in order to save the maximum number of lives Recently portable health systems have been developed that can gather patient s vital signs and wireless transmit this information to a central location for analysis This research introduces a methodology to improve triage in mass casualty incidents by combining statistical optimization techniques with mobile health systems to manage resources using evidence based data We combine data collected during a field test with data of patient s vital signs to simulate how mobile health systems can optimize resources in emergency response situations
dc.identifier.urihttp://dx.doi.org/Not available
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/5564
dc.relation.uriAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
dc.subjectFacility-based health worker
dc.subjectAccess to information or data
dc.subjectDemand for services
dc.subjectWorkflow management
dc.subjectEffective resource allocation
dc.subjectTimeliness of care
dc.subjectPlanning and coordination
dc.subjectEfficiency
dc.subjectPrototype
dc.subjectAcute or emergency
dc.subjectProvider work planning and scheduling
dc.subjectDisease diagnosis / Point-of-care diagnostics
dc.subjectProvider-to-provider communication
dc.subjectData collection and reporting
dc.subjectSurveillance
dc.subjectRaw data
dc.titleMobile Health Systems that Optimize Resources in Emergency Response Situations.en
dcterms.abstractDuring mass casualty incidents a large number of patients need to be triaged accurately in order to save the maximum number of lives Recently portable health systems have been developed that can gather patient s vital signs and wireless transmit this information to a central location for analysis This research introduces a methodology to improve triage in mass casualty incidents by combining statistical optimization techniques with mobile health systems to manage resources using evidence based data We combine data collected during a field test with data of patient s vital signs to simulate how mobile health systems can optimize resources in emergency response situations
dcterms.contributorMassey, Tammara
dcterms.contributorGao, Tia
dcterms.identifierhttp://dx.doi.org/Not available
dcterms.relationAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
dcterms.subjectFacility-based health worker
dcterms.subjectAccess to information or data
dcterms.subjectDemand for services
dcterms.subjectWorkflow management
dcterms.subjectEffective resource allocation
dcterms.subjectTimeliness of care
dcterms.subjectPlanning and coordination
dcterms.subjectEfficiency
dcterms.subjectPrototype
dcterms.subjectAcute or emergency
dcterms.subjectProvider work planning and scheduling
dcterms.subjectDisease diagnosis / Point-of-care diagnostics
dcterms.subjectProvider-to-provider communication
dcterms.subjectData collection and reporting
dcterms.subjectSurveillance
dcterms.subjectRaw data
dcterms.titleMobile Health Systems that Optimize Resources in Emergency Response Situations.en
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