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- Care Coordination (1)
- Children/Adolescents (4)
- Clinical Decision Support (CDS) (1)
- Electronic Health Records (EHRs) (4)
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- Evidence-Based Practice (1)
- Healthcare Utilization (1)
- (-) Health Information Technology (HIT) (8)
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- Injuries and Wounds (3)
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- (-) Trauma (8)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 8 of 8 Research Studies DisplayedJones EK, Ninkovic I, Bahr M
A novel, evidence-based, comprehensive clinical decision support system improves outcomes for patients with traumatic rib fractures.
This study’s objective to investigate if a traumatic rib fracture clinical decision support system (CDSS) reduced hospital length of stay (LOS), 90-day and 1-year mortality, unplanned ICU transfer, and the need for mechanical ventilation. The CDSS included an admission evidence-based (EB) order set and a pain-inspiratory-cough (PIC) score early warning system (EWS). The CDSS was implemented at 9 US trauma centers, with 3,279 patients meeting inclusion criteria. Hospital LOS pre vs post-intervention was unchanged but unplanned transfer to the ICU was reduced, as was 1-year mortality. Provider utilization was associated with significantly reduced LOS. The EWS triggered on 34.4% of patients; however, it was not associated with a significant reduction in hospital LOS.
AHRQ-funded; HS026379.
Citation: Jones EK, Ninkovic I, Bahr M .
A novel, evidence-based, comprehensive clinical decision support system improves outcomes for patients with traumatic rib fractures.
J Trauma Acute Care Surg 2023 Aug 1; 95(2):161-71. doi: 10.1097/ta.0000000000003866..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Evidence-Based Practice, Injuries and Wounds, Trauma
Stonko DP, Weller JH, Gonzalez Salazar AJ
A pilot machine learning study using trauma admission data to identify risk for high length of stay.
The purpose of this study was to design a tool that used only data available at time of admission for trauma to predict prolonged hospital length of stay (LOS). Data was collected from the trauma registry at an urban level-one adult trauma center. Single layer and deep artificial neural networks were trained to identify patients in the top quartile of LOS and optimized under the receiver operator characteristic curve. The results indicated that machine learning can predict which trauma patients will have prolonged LOS with physiologic and demographic data available at the time of admission. The authors concluded these patients may benefit from additional disposition planning resources at the time of admission.
AHRQ-funded; HS026640; HS024547; HS027793.
Citation: Stonko DP, Weller JH, Gonzalez Salazar AJ .
A pilot machine learning study using trauma admission data to identify risk for high length of stay.
Surg Innov 2023 Jun; 30(3):356-65. doi: 10.1177/15533506221139965..
Keywords: Trauma, Hospitalization, Health Information Technology (HIT)
Hoonakker PLT, Hose BZ, Carayon P
Scenario-based evaluation of team health information technology to support pediatric trauma care transitions.
This study’s objective was to examine if the Teamwork Transition Technology (T(3)) supports teams and team cognition. Using a scenario-based mock-up methodology with 36 clinicians and staff from the different units and departments who are involved in pediatric trauma to examine T(3), results showed that most participants agreed that the technology helped to achieve the goals set out in the design phase. Respondents thought that T(3) organized and presented information in a different way that was helpful to them. The authors concluded that the results of their evaluation showed that participants agreed that T(3) does support them in their work and increases their situation awareness.
AHRQ-funded; HS023837.
Citation: Hoonakker PLT, Hose BZ, Carayon P .
Scenario-based evaluation of team health information technology to support pediatric trauma care transitions.
Appl Clin Inform 2022 Jan;13(1):218-29. doi: 10.1055/s-0042-1742368.
AHRQ-funded; HS023837..
AHRQ-funded; HS023837..
Keywords: Children/Adolescents, Transitions of Care, Health Information Technology (HIT), Teams, Trauma
Otto L, Wang A, Wheeler K
Comparison of manual and computer assigned injury severity scores.
The study objective was to compare the ISS manually assigned by hospital personnel and those generated by the ICDPIC software for value agreement and predictive power of length of stay (LOS) and mortality. The investigators found that the LOS and mortality predictive power were significantly higher for manually assigned ISS when compared with computer assigned ISS in both PTC and NTDB data sets. They indicated that hospitals should be cautious about transitioning to computer assigned ISS, specifically for patients who are critically injured.
AHRQ-funded; HS024263.
Citation: Otto L, Wang A, Wheeler K .
Comparison of manual and computer assigned injury severity scores.
Inj Prev 2020 Aug;26(4):330-33. doi: 10.1136/injuryprev-2019-043224..
Keywords: Health Information Technology (HIT), Injuries and Wounds, Trauma, Hospitals
Tignanelli CJ, Silverman GM, Lindemann EA
Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness.
Incomplete prehospital trauma care is a significant contributor to preventable deaths. Current databases lack timelines easily constructible of clinical events. Temporal associations and procedural indications are critical to characterize treatment appropriateness. Natural language processing (NLP) methods present a novel approach to bridge this gap. In this study, the investigators sought to evaluate the efficacy of a novel and automated NLP pipeline to determine treatment appropriateness from a sample of prehospital EMS motor vehicle crash records.
AHRQ-funded; HS026379.
Citation: Tignanelli CJ, Silverman GM, Lindemann EA .
Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness.
J Trauma Acute Care Surg 2020 May;88(5):607-14. doi: 10.1097/ta.0000000000002598.
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Keywords: Trauma, Injuries and Wounds, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Durojaiye AB, Levin S, Toerper M
Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data.
This study electronic health record (EHR) data to compare usage patterns from pediatric trauma patients with minor injuries at a Level I pediatric trauma center. The data was used to compare demographics, clinical and network characteristics, and emergency department (ED) length of stay (LOS). Three distinct groups were compared: fully connected, partially connected, and disconnected. The fully connected group had a decreased ED LOS compared with the partially connected group.
AHRQ-funded; HS023837.
Citation: Durojaiye AB, Levin S, Toerper M .
Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data.
J Am Med Inform Assoc 2019 Jun;26(6):506-15. doi: 10.1093/jamia/ocy184..
Keywords: Children/Adolescents, Trauma, Electronic Health Records (EHRs), Health Information Technology (HIT), Emergency Department, Healthcare Utilization
Hose BZ, Hoonakker PLT, Wooldrige AR
Physician perceptions of the electronic problem list in pediatric trauma care.
Researchers described physician perceptions of the potential goals, characteristics, and content of the electronic problem list (PL) in pediatric trauma. They identified five goals of the PL, seven characteristics, and 22 patient-related information elements. They found that physicians involved in pediatric trauma care described the electronic PL as ideally more than a list of a patient's medical diagnoses and injuries. They recommend future work to evaluate the optimal design of the PL so that users with emergent cases have access to key information related to the patient's immediate problems.
AHRQ-funded; HS023837.
Citation: Hose BZ, Hoonakker PLT, Wooldrige AR .
Physician perceptions of the electronic problem list in pediatric trauma care.
Appl Clin Inform 2019 Jan;10(1):113-22. doi: 10.1055/s-0039-1677737..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Trauma, Provider: Physician, Provider
Durojaiye AB, McGeorge N, Kristen W
Characterizing the utilization of the problem list for pediatric trauma care.
The EHR problem list has the potential to support care coordination among the multidisciplinary care team that cares for pediatric trauma patients. To realize this potential, the need exists to ensure appropriate utilization by formulating acceptable usage and management policy. In this regard, understanding the prevailing utilization pattern is pivotal. To this end, in this study, the investigators analyzed EHR in tandem with trauma registry data at a Level I pediatric trauma center.
AHRQ-funded; HS023837.
Citation: Durojaiye AB, McGeorge N, Kristen W .
Characterizing the utilization of the problem list for pediatric trauma care.
AMIA Annu Symp Proc 2018 Dec 5;2018:404-12..
Keywords: Care Coordination, Children/Adolescents, Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Hospitals, Registries, Trauma