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  1. Article ; Online: Repurposing cefuroxime for treatment of COVID-19: a scoping review of

    Durojaiye, Ashimiyu B / Clarke, John-Ross D / Stamatiades, George A / Wang, Can

    Journal of biomolecular structure & dynamics

    2020  Volume 39, Issue 12, Page(s) 4547–4554

    Abstract: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of Coronavirus disease 19 (COVID-19), is a novel human Coronavirus that is responsible for about 300,000 deaths worldwide. To date, there is no confirmed treatment or ... ...

    Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of Coronavirus disease 19 (COVID-19), is a novel human Coronavirus that is responsible for about 300,000 deaths worldwide. To date, there is no confirmed treatment or vaccine prevention strategy against COVID-19. Due to the urgent need for effective treatment, drug repurposing is regarded as the immediate option. Potential drugs can often be identified via
    MeSH term(s) COVID-19 ; Cefuroxime/pharmacology ; Computer Simulation ; Drug Repositioning ; Humans ; Molecular Docking Simulation ; SARS-CoV-2
    Chemical Substances Cefuroxime (O1R9FJ93ED)
    Keywords covid19
    Language English
    Publishing date 2020-06-13
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2020.1777904
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  2. Article ; Online: Repurposing cefuroxime for treatment of COVID-19

    Durojaiye, Ashimiyu B. / Clarke, John-Ross D. / Stamatiades, George A. / Wang, Can

    Journal of Biomolecular Structure and Dynamics

    a scoping review of in silico studies

    2020  , Page(s) 1–8

    Keywords Molecular Biology ; Structural Biology ; General Medicine ; covid19
    Language English
    Publisher Informa UK Limited
    Publishing country uk
    Document type Article ; Online
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2020.1777904
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Repurposing cefuroxime for treatment of COVID-19: a scoping review of in silico studies

    Durojaiye, Ashimiyu B / Clarke, John-Ross D / Stamatiades, George A / Wang, Can

    J Biomol Struct Dyn

    Abstract: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of Coronavirus disease 19 (COVID-19), is a novel human Coronavirus that is responsible for about 300,000 deaths worldwide. To date, there is no confirmed treatment or ... ...

    Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of Coronavirus disease 19 (COVID-19), is a novel human Coronavirus that is responsible for about 300,000 deaths worldwide. To date, there is no confirmed treatment or vaccine prevention strategy against COVID-19. Due to the urgent need for effective treatment, drug repurposing is regarded as the immediate option. Potential drugs can often be identified via in silico drug screening experiments. Consequently, there has been an explosion of in silico experiments to find drug candidates or investigate anecdotal claims. One drug with several anecdotal accounts of benefit is Cefuroxime. The aim of this study was to identify and summarize in silico evidence for possible activity of Cefuroxime against SARS-CoV-2.To this end, we performed a scoping review of literature of in silico drug repurposing experiments for SARS-CoV-2 using PRISMA-ScR. We searched Medline, Embase, Scopus, Web of Knowledge, and Google Scholar for original studies published between 1st Feb, 2020 and 15th May, 2020 that screened drug libraries, and identified Cefuroxime as a top-ranked potential inhibitor drug against SARS-CoV-2 proteins. Six studies were identified. These studies reported Cefuroxime as a potential inhibitor of 3 key SARS-CoV-2 proteins; main protease, RNA dependent RNA polymerase, and ACE2-Spike complex. We provided a summary of the methodology and findings of the identified studies. Our scoping review identified significant in silico evidence that Cefuroxime may be a potential multi-target inhibitor of SARS-CoV-2. Further in vitro and in vivo studies are required to evaluate the potential of Cefuroxime for COVID-19.Communicated by Ramaswamy H. Sarma.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #597111
    Database COVID19

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  4. Article ; Online: Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data.

    Durojaiye, Ashimiyu B / Levin, Scott / Toerper, Matthew / Kharrazi, Hadi / Lehmann, Harold P / Gurses, Ayse P

    Journal of the American Medical Informatics Association : JAMIA

    2019  Volume 26, Issue 6, Page(s) 506–515

    Abstract: Objectives: The study sought to identify collaborative electronic health record (EHR) usage patterns for pediatric trauma patients and determine how the usage patterns are related to patient outcomes.: Materials and methods: A process mining-based ... ...

    Abstract Objectives: The study sought to identify collaborative electronic health record (EHR) usage patterns for pediatric trauma patients and determine how the usage patterns are related to patient outcomes.
    Materials and methods: A process mining-based network analysis was applied to EHR metadata and trauma registry data for a cohort of pediatric trauma patients with minor injuries at a Level I pediatric trauma center. The EHR metadata were processed into an event log that was segmented based on gaps in the temporal continuity of events. A usage pattern was constructed for each encounter by creating edges among functional roles that were captured within the same event log segment. These patterns were classified into groups using graph kernel and unsupervised spectral clustering methods. Demographics, clinical and network characteristics, and emergency department (ED) length of stay (LOS) of the groups were compared.
    Results: Three distinct usage patterns that differed by network density were discovered: fully connected (clique), partially connected, and disconnected (isolated). Compared with the fully connected pattern, encounters with the partially connected pattern had an adjusted median ED LOS that was significantly longer (242.6 [95% confidence interval, 236.9-246.0] minutes vs 295.2 [95% confidence, 289.2-297.8] minutes), more frequently seen among day shift and weekday arrivals, and involved otolaryngology, ophthalmology services, and child life specialists.
    Discussion: The clique-like usage pattern was associated with decreased ED LOS for the study cohort, suggesting greater degree of collaboration resulted in shorter stay.
    Conclusions: Further investigation to understand and address causal factors can lead to improvement in multidisciplinary collaboration.
    MeSH term(s) Child ; Cooperative Behavior ; Data Mining ; Electronic Health Records ; Emergency Service, Hospital/organization & administration ; Humans ; Interprofessional Relations ; Length of Stay ; Metadata ; Patient Care Team ; Pediatrics/organization & administration ; Social Network Analysis ; Traumatology/organization & administration
    Language English
    Publishing date 2019-03-18
    Publishing country England
    Document type Evaluation Study ; Journal Article ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 1205156-1
    ISSN 1527-974X ; 1067-5027
    ISSN (online) 1527-974X
    ISSN 1067-5027
    DOI 10.1093/jamia/ocy184
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  5. Article ; Online: Radiology Resident Assessment and Feedback Dashboard.

    Durojaiye, Ashimiyu B / Snyder, Elizabeth / Cohen, Michael / Nagy, Paul / Hong, Kelvin / Johnson, Pamela T

    Radiographics : a review publication of the Radiological Society of North America, Inc

    2018  Volume 38, Issue 5, Page(s) 1443–1453

    Abstract: Assessment of residents is optimally performed through processes and platforms that provide daily feedback, which can be immediately acted on. Given the documentation required by the Accreditation Council for Graduate Medical Education (ACGME), effective ...

    Abstract Assessment of residents is optimally performed through processes and platforms that provide daily feedback, which can be immediately acted on. Given the documentation required by the Accreditation Council for Graduate Medical Education (ACGME), effective data management, integration, and presentation are crucial to ease the burden of manual documentation and increase the timeliness of actionable information. To this end, the authors modeled the learning activities of residents using the Experience Application Programming Interface (xAPI) framework, which is a standard framework for the learning community. On the basis of the xAPI framework and using open-source software to extend their existing infrastructure, the authors developed a Web-based dashboard that provides residents with a more holistic view of their educational experience. The dashboard was designed around the ACGME radiology milestones and provides real-time feedback to residents using various assessment metrics derived from multiple data sources. The purpose of this article is to describe the dashboard's architecture and components, the design and technical considerations, and the lessons learned in implementing the dashboard.
    MeSH term(s) Accreditation ; Clinical Competence ; Education, Medical, Graduate ; Educational Measurement ; Feedback ; Humans ; Internet ; Internship and Residency ; Radiology/education ; United States ; User-Computer Interface
    Language English
    Publishing date 2018-08-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603172-9
    ISSN 1527-1323 ; 0271-5333
    ISSN (online) 1527-1323
    ISSN 0271-5333
    DOI 10.1148/rg.2018170117
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  6. Article ; Online: Characterizing the Utilization of the Problem List for Pediatric Trauma Care.

    Durojaiye, Ashimiyu B / McGerorge, Nicolette / Kristen, Webster / Oruc, Cagla / Fackler, James C / Gurses, Ayse P

    AMIA ... Annual Symposium proceedings. AMIA Symposium

    2018  Volume 2018, Page(s) 404–412

    Abstract: 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 ... ...

    Abstract 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, we analyzed EHR in tandem with trauma registry data at a Level I pediatric trauma center. Almost all (97.8%) of the actions executed on the problem list were addition of items. Among the 517 patient encounters in the cohort, 263 (48.9%) encounters involving sicker patients had at least one problem list item added, mostly within the first 4 hours of arrival, while in the emergency department, and by providers in the service of record. This represents a foundation to build upon. Subsequent research will explore completeness, accuracy, and the impact of the utilization on patient outcomes.
    MeSH term(s) Child ; Child, Preschool ; Electronic Health Records ; Emergency Service, Hospital ; Female ; Humans ; Male ; Medical Records, Problem-Oriented ; Pediatrics/organization & administration ; Registries ; Trauma Centers ; Traumatology/organization & administration
    Language English
    Publishing date 2018-12-05
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, P.H.S.
    ISSN 1942-597X
    ISSN (online) 1942-597X
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  7. Article ; Online: Linking Electronic Health Record and Trauma Registry Data: Assessing the Value of Probabilistic Linkage.

    Durojaiye, Ashimiyu B / Puett, Lisa L / Levin, Scott / Toerper, Matthew / McGeorge, Nicolette M / Webster, Kristen L W / Deol, Gurmehar S / Kharrazi, Hadi / Lehmann, Harold P / Gurses, Ayse P

    Methods of information in medicine

    2018  Volume 57, Issue 5-06, Page(s) e3

    Language English
    Publishing date 2018-11-19
    Publishing country Germany
    Document type Journal Article ; Published Erratum
    ZDB-ID 3500-2
    ISSN 2511-705X ; 0026-1270
    ISSN (online) 2511-705X
    ISSN 0026-1270
    DOI 10.1055/s-0038-1675220
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  8. Article ; Online: Linking Electronic Health Record and Trauma Registry Data: Assessing the Value of Probabilistic Linkage.

    Durojaiye, Ashimiyu B / Puett, Lisa L / Levin, Scott / Toerper, Matthew / McGeorge, Nicolette M / Webster, Kristen L W / Deol, Gurmehar S / Kharrazi, Hadi / Lehmann, Harold P / Gurses, Ayse P

    Methods of information in medicine

    2019  Volume 57, Issue 5-06, Page(s) 261–269

    Abstract: Background: Electronic health record (EHR) systems contain large volumes of novel heterogeneous data that can be linked to trauma registry data to enable innovative research not possible with either data source alone.: Objective: This article ... ...

    Abstract Background: Electronic health record (EHR) systems contain large volumes of novel heterogeneous data that can be linked to trauma registry data to enable innovative research not possible with either data source alone.
    Objective: This article describes an approach for linking electronically extracted EHR data to trauma registry data at the institutional level and assesses the value of probabilistic linkage.
    Methods: Encounter data were independently obtained from the EHR data warehouse (
    Results: Deterministic linkage with exact matching on any three of MRN, encounter ID, age, gender, and ED arrival date gave the best yield of 1,276 true matches while an additional probabilistic linkage step following deterministic linkage yielded 110 true matches. These records contained a significantly higher number of boys compared to records that matched deterministically and etiology was attributable to mismatch between MRNs in the two data sets. Probabilistic linkage of the entire cohort yielded 1,363 true matches.
    Conclusion: The combination of deterministic and an additional probabilistic method represents a robust approach for linking EHR data to trauma registry data. This approach may be generalizable to studies involving other registries and databases.
    MeSH term(s) Algorithms ; Child ; Child, Preschool ; Electronic Health Records ; Female ; Humans ; Male ; Medical Record Linkage ; Registries ; Wounds and Injuries/epidemiology
    Language English
    Publishing date 2019-03-15
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 3500-2
    ISSN 2511-705X ; 0026-1270
    ISSN (online) 2511-705X
    ISSN 0026-1270
    DOI 10.1055/s-0039-1681087
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  9. Article ; Online: Mapping the Flow of Pediatric Trauma Patients Using Process Mining.

    Durojaiye, Ashimiyu B / McGeorge, Nicolette M / Puett, Lisa L / Stewart, Dylan / Fackler, James C / Hoonakker, Peter L T / Lehmann, Harold P / Gurses, Ayse P

    Applied clinical informatics

    2018  Volume 9, Issue 3, Page(s) 654–666

    Abstract: Background: Inhospital pediatric trauma care typically spans multiple locations, which influences the use of resources, that could be improved by gaining a better understanding of the inhospital flow of patients and identifying opportunities for ... ...

    Abstract Background: Inhospital pediatric trauma care typically spans multiple locations, which influences the use of resources, that could be improved by gaining a better understanding of the inhospital flow of patients and identifying opportunities for improvement.
    Objectives: To describe a process mining approach for mapping the inhospital flow of pediatric trauma patients, to identify and characterize the major patient pathways and care transitions, and to identify opportunities for patient flow and triage improvement.
    Methods: From the trauma registry of a level I pediatric trauma center, data were extracted regarding the two highest trauma activation levels, Alpha (
    Results: The process map for the cohort was similar to a validated process map derived through qualitative methods. The process map for Bravo encounters had a relatively low fitness of 0.887, and 96 (5.6%) encounters were identified as nonconforming with characteristics comparable to Alpha encounters. In total, 28 patient pathways and 20 care transitions were identified. The top five patient pathways were traversed by 92.1% of patients, whereas the top five care transitions accounted for 87.5% of all care transitions. A larger-than-expected number of discharges from the pediatric intensive care unit (PICU) were identified, with 84.2% involving discharge to home without the need for home care services.
    Conclusion: Process mining was successfully applied to derive process maps from trauma registry data and to identify opportunities for trauma triage improvement and optimization of PICU use.
    MeSH term(s) Algorithms ; Child ; Cluster Analysis ; Data Science ; Heuristics ; Humans ; Patient Transfer ; Trauma Centers
    Language English
    Publishing date 2018-08-22
    Publishing country Germany
    Document type Journal Article ; Research Support, U.S. Gov't, P.H.S.
    ISSN 1869-0327
    ISSN (online) 1869-0327
    DOI 10.1055/s-0038-1668089
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Linking Electronic Health Record and Trauma Registry Data: Assessing the Value of Probabilistic Linkage

    Durojaiye, Ashimiyu B. / Puett, Lisa L. / Levin, Scott / Toerper, Matthew / McGeorge, Nicolette M. / Webster, Kristen L. W. / Deol, Gurmehar S. / Kharrazi, Hadi / Lehmann, Harold P. / Gurses, Ayse P.

    Methods of Information in Medicine

    2018  Volume 57, Issue 05/06, Page(s) e3–e3

    Language English
    Publishing date 2018-11-01
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 3500-2
    ISSN 2511-705X ; 0026-1270
    ISSN (online) 2511-705X
    ISSN 0026-1270
    DOI 10.1055/s-0038-1675220
    Database Thieme publisher's database

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