grant

Trauma Institutional Priorities and Teams for Outcome Efficacy (TIPTOE)

Organization UNIV OF ARKANSAS FOR MED SCISLocation LITTLE ROCK, UNITED STATESPosted 5 Mar 2015Deadline 31 May 2027
NIHUS FederalResearch GrantFY2025AI systemAddressAffectAgeAggregated DataArchitectureArtificial IntelligenceCaringCause of DeathCharacteristicsClinicalClinical InvestigatorCommunitiesCommunity Health CareComputer ReasoningControlled VocabularyDataData AggregationData BasesDatabasesDecision MakingDependenceEconomic BurdenEconomicsEngineering / ArchitectureEnvironmentEvolutionGraphHealthIndividualInformaticsInstitutionIntensive Care UnitsInvestigatorsKnowledgeKnowledge DiscoveryLeadershipLength of StayMachine IntelligenceMethodologyNumber of Days in HospitalOn-Line SystemsOnline SystemsOntologyOrganization ChartsOutcomePatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPatientsPatternQualifyingQuestionnairesResearchResearch PersonnelResearch ResourcesResearchersResourcesRisk AdjustmentServicesSourceSpecialtyStandardizationStatistical MethodsSystemTechniquesTerminologyTestingTraumaTrauma ResearchUnited StatesVisualVisualizationVisualization softwareagesbiomed informaticsbiomedical informaticscommunity carecomparativecomputer-based representationdata basedata explorationdata managementeconomicefficacy outcomesexperiencefeasibility testingframe-based representationgraph knowledge basegraph knowledgebasehospital dayshospital length of stayhospital stayimplementation scienceimprovedinformation organizationinnovateinnovationinnovativeinsightknowledge baseknowledge representationmedical specialtiesmortalitynovelonline computerorganizational structurepatient oriented outcomespatient variabilitypatient variationprogramsstatistic methodssurgical researchtooltrauma caretrauma centersusabilityvariability between patientsvariation between patientsvisualization toolweb based
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Full Description

PROJECT SUMMARY/ABSTRACT
In the United States, trauma is the leading cause of death for individuals under the age of 45 and was

responsible for $671 billion in economic damage in 2013. Despite growing standardization of clinical trauma

care, at Level I and Level II trauma centers, there remains significant variability in patient outcomes across

trauma centers on both levels. To resolve this issue, two knowledge gaps will be addressed: a) which

organizational features impact patient outcomes and b) which organizational features are indicative of

institutional commitment. Our global hypothesis is that variability of organizational features in Level I and Level

II trauma centers is a significant factor in the variability of patient outcomes across those trauma centers. We will

also collect data on which organizational features are indicative of institutional commitment from the perspective

of trauma experts.

In Aim 1 we will collect data about the organizational characteristics and patient outcomes at 230 Level I

and Level 2 trauma centers. These centers will also provide us with their Trauma Quality Improvement Program

data, which includes patient outcomes. To support our global hypothesis, we will use these data to test whether

organizational features of the trauma centers show an impact on patient outcomes, specifically patient mortality,

length of stay, and risk-adjusted major complications.

In Aim 2 we will use the data about organizational characteristics to assess which organizational features

of trauma centers are indicative of institutional commitment using Latent Class analysis. This will allow us to

represent the dependencies between organizational features and institutional commitment and add this

information to the TIPTOE database. We will use these data to create automatic inferences on patterns of

institutional commitment to represent, group and analyze factors indicative of institutional commitment using data

collected in the present project. This provides an additional source of knowledge guiding trauma center planning

and decision-making.

In Aim 3 we will extend the Ontology of Organizational Structures of Trauma Centers and Trauma

Systems (OOSTT) to include institutional commitment and patient outcomes. We will set up the TIPTOE

Knowledge Base and create the Knowledge Path tool for users to explore, analyze, and visualize TIPTOE data.

We will test the hypothesis that the TIPTOE Knowledge Path is perceived to make a positive impact on

knowledge discovery and decision making in the user community.

This project will initialize a novel resource of patient outcome information for the trauma care community.

The purpose of this project is the next evolution of trauma center quality improvement allowing change based

on scientific evidence of which components of trauma centers affect patient outcomes.

Grant Number: 5R01GM111324-10
NIH Institute/Center: NIH

Principal Investigator: Mathias Brochhausen

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