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  1. Article: Using a Natural Language Processing Approach to Support Rapid Knowledge Acquisition.

    Koonce, Taneya Y / Giuse, Dario A / Williams, Annette M / Blasingame, Mallory N / Krump, Poppy A / Su, Jing / Giuse, Nunzia B

    JMIR medical informatics

    2024  Volume 12, Page(s) e53516

    Abstract: Implementing artificial intelligence to extract insights from large, real-world clinical data sets can supplement and enhance knowledge management efforts for health sciences research and clinical care. At Vanderbilt University Medical Center (VUMC), the ...

    Abstract Implementing artificial intelligence to extract insights from large, real-world clinical data sets can supplement and enhance knowledge management efforts for health sciences research and clinical care. At Vanderbilt University Medical Center (VUMC), the in-house developed Word Cloud natural language processing system extracts coded concepts from patient records in VUMC's electronic health record repository using the Unified Medical Language System terminology. Through this process, the Word Cloud extracts the most prominent concepts found in the clinical documentation of a specific patient or population. The Word Cloud provides added value for clinical care decision-making and research. This viewpoint paper describes a use case for how the VUMC Center for Knowledge Management leverages the condition-disease associations represented by the Word Cloud to aid in the knowledge generation needed to inform the interpretation of phenome-wide association studies.
    Language English
    Publishing date 2024-01-30
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 2798261-0
    ISSN 2291-9694
    ISSN 2291-9694
    DOI 10.2196/53516
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Knowledgebase strategies to aid interpretation of clinical correlation research.

    Stead, William W / Lewis, Adam / Giuse, Nunzia B / Koonce, Taneya Y / Bastarache, Lisa

    Journal of the American Medical Informatics Association : JAMIA

    2023  Volume 30, Issue 7, Page(s) 1257–1265

    Abstract: Objective: Knowledgebases are needed to clarify correlations observed in real-world electronic health record (EHR) data. We posit design principles, present a unifying framework, and report a test of concept.: Materials and methods: We structured a ... ...

    Abstract Objective: Knowledgebases are needed to clarify correlations observed in real-world electronic health record (EHR) data. We posit design principles, present a unifying framework, and report a test of concept.
    Materials and methods: We structured a knowledge framework along 3 axes: condition of interest, knowledge source, and taxonomy. In our test of concept, we used hypertension as our condition of interest, literature and VanderbiltDDx knowledgebase as sources, and phecodes as our taxonomy. In a cohort of 832 566 deidentified EHRs, we modeled blood pressure and heart rate by sex and age, classified individuals by hypertensive status, and ran a Phenome-wide Association Study (PheWAS) for hypertension. We compared the correlations from PheWAS to the associations in our knowledgebase.
    Results: We produced PhecodeKbHtn: a knowledgebase comprising 167 hypertension-associated diseases, 15 of which were also negatively associated with blood pressure (pos+neg). Our hypertension PheWAS included 1914 phecodes, 129 of which were in the PhecodeKbHtn. Among the PheWAS association results, phecodes that were in PhecodeKbHtn had larger effect sizes compared with those phecodes not in the knowledgebase.
    Discussion: Each source contributed unique and additive associations. Models of blood pressure and heart rate by age and sex were consistent with prior cohort studies. All but 4 PheWAS positive and negative correlations for phecodes in PhecodeKbHtn may be explained by knowledgebase associations, hypertensive cardiac complications, or causes of hypertension independently associated with hypotension.
    Conclusion: It is feasible to assemble a knowledgebase that is compatible with EHR data to aid interpretation of clinical correlation research.
    MeSH term(s) Humans ; Phenotype ; Genome-Wide Association Study ; Hypertension ; Cohort Studies ; Blood Pressure ; Polymorphism, Single Nucleotide
    Language English
    Publishing date 2023-09-06
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1205156-1
    ISSN 1527-974X ; 1067-5027
    ISSN (online) 1527-974X
    ISSN 1067-5027
    DOI 10.1093/jamia/ocad078
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Design thinking in applied informatics: what can we learn from Project HealthDesign?

    Novak, Laurie L / Harris, Joyce W / Koonce, Taneya Y / Johnson, Kevin B

    Journal of the American Medical Informatics Association : JAMIA

    2021  Volume 28, Issue 9, Page(s) 1858–1865

    Abstract: Objective: The goals of this study are to describe the value and impact of Project HealthDesign (PHD), a program of the Robert Wood Johnson Foundation that applied design thinking to personal health records, and to explore the applicability of the PHD ... ...

    Abstract Objective: The goals of this study are to describe the value and impact of Project HealthDesign (PHD), a program of the Robert Wood Johnson Foundation that applied design thinking to personal health records, and to explore the applicability of the PHD model to another challenging translational informatics problem: the integration of AI into the healthcare system.
    Materials and methods: We assessed PHD's impact and value in 2 ways. First, we analyzed publication impact by calculating a PHD h-index and characterizing the professional domains of citing journals. Next, we surveyed and interviewed PHD grantees, expert consultants, and codirectors to assess the program's components and the potential future application of design thinking to artificial intelligence (AI) integration into healthcare.
    Results: There was a total of 1171 unique citations to PHD-funded work (collective h-index of 25). Studies citing PHD span medical, legal, and computational journals. Participants stated that this project transformed their thinking, altered their career trajectory, and resulted in technology transfer into the commercial sector. Participants felt, in general, that the approach would be valuable in solving contemporary challenges integrating AI in healthcare including complex social questions, integrating knowledge from multiple domains, implementation, and governance.
    Conclusion: Design thinking is a systematic approach to problem-solving characterized by cooperation and collaboration. PHD generated significant impacts as measured by citations, reach, and overall effect on participants. PHD's design thinking methods are potentially useful to other work on cyber-physical systems, such as the use of AI in healthcare, to propose structural or policy-related changes that may affect adoption, value, and improvement of the care delivery system.
    MeSH term(s) Artificial Intelligence ; Delivery of Health Care ; Health Records, Personal ; Humans ; Informatics
    Language English
    Publishing date 2021-03-19
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1205156-1
    ISSN 1527-974X ; 1067-5027
    ISSN (online) 1527-974X
    ISSN 1067-5027
    DOI 10.1093/jamia/ocab081
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Using SPI-Hub™ to Promote the Key Role of Prepublishing in Healthcare.

    Koonce, Taneya Y / Blasingame, Mallory N / Williams, Annette M / Zhao, Jerry / Su, Jing / Epelbaum, Marcia I / Clark, John D / Naylor, Helen M / Kusnoor, Sheila V / DesAutels, Spencer J / Giuse, Nunzia Bettinsoli

    Studies in health technology and informatics

    2022  Volume 290, Page(s) 981–982

    Abstract: With the need to quickly advance knowledge dissemination in rapid-paced fields, and more recently in response to the urgency of the COVID-19 pandemic, prepublishing has been brought to the forefront. SPI-Hub™, a publicly available journal selection ... ...

    Abstract With the need to quickly advance knowledge dissemination in rapid-paced fields, and more recently in response to the urgency of the COVID-19 pandemic, prepublishing has been brought to the forefront. SPI-Hub™, a publicly available journal selection decision support tool, is being strategically enhanced to address prospective authors' critical needs in navigating and selecting the most appropriate preprint or traditional publication venue.
    MeSH term(s) COVID-19 ; Delivery of Health Care ; Health Facilities ; Humans ; Pandemics ; Prospective Studies
    Language English
    Publishing date 2022-06-08
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI220228
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Systematic review of international studies evaluating MDRD and CKD-EPI estimated glomerular filtration rate (eGFR) equations in Black adults.

    Umeukeje, Ebele M / Koonce, Taneya Y / Kusnoor, Sheila V / Ulasi, Ifeoma I / Kostelanetz, Sophia / Williams, Annette M / Blasingame, Mallory N / Epelbaum, Marcia I / Giuse, Dario A / Apple, Annie N / Kaur, Karampreet / González Peña, Tavia / Barry, Danika / Eisenstein, Leo G / Nutt, Cameron T / Giuse, Nunzia B

    PloS one

    2022  Volume 17, Issue 10, Page(s) e0276252

    Abstract: Use of race adjustment in estimating glomerular filtration rate (eGFR) has been challenged given concerns that it may negatively impact the clinical care of Black patients, as it results in Black patients being systematically assigned higher eGFR values ... ...

    Abstract Use of race adjustment in estimating glomerular filtration rate (eGFR) has been challenged given concerns that it may negatively impact the clinical care of Black patients, as it results in Black patients being systematically assigned higher eGFR values than non-Black patients. We conducted a systematic review to assess how well eGFR, with and without race adjustment, estimates measured GFR (mGFR) in Black adults globally. A search across multiple databases for articles published from 1999 to May 2021 that compared eGFR to mGFR and reported outcomes by Black race was performed. We included studies that assessed eGFR using the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPICr) creatinine equations. Risk of study bias and applicability were assessed with the QUality Assessment of Diagnostic Accuracy Studies-2. Of 13,167 citations identified, 12 met the data synthesis criteria (unique patient cohorts in which eGFR was compared to mGFR with and without race adjustment). The studies included patients with and without kidney disease from Africa (n = 6), the United States (n = 3), Europe (n = 2), and Brazil (n = 1). Of 11 CKD-EPI equation studies, all assessed bias, 8 assessed accuracy, 6 assessed precision, and 5 assessed correlation/concordance. Of 7 MDRD equation studies, all assessed bias, 6 assessed accuracy, 5 assessed precision, and 3 assessed correlation/concordance. The majority of studies found that removal of race adjustment improved bias, accuracy, and precision of eGFR equations for Black adults. Risk of study bias was often unclear, but applicability concerns were low. Our systematic review supports the need for future studies to be conducted in diverse populations to assess the possibility of alternative approaches for estimating GFR. This study additionally provides systematic-level evidence for the American Society of Nephrology-National Kidney Foundation Task Force efforts to pursue other options for GFR estimation.
    MeSH term(s) Adult ; Humans ; Glomerular Filtration Rate ; Creatinine ; Renal Insufficiency, Chronic/diagnosis ; Renal Insufficiency, Chronic/epidemiology ; Kidney ; Bias
    Chemical Substances Creatinine (AYI8EX34EU)
    Language English
    Publishing date 2022-10-18
    Publishing country United States
    Document type Systematic Review ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0276252
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: SPI-Hub™: a gateway to scholarly publishing information.

    Koonce, Taneya Y / Blasingame, Mallory N / Zhao, Jerry / Williams, Annette M / Su, Jing / DesAutels, Spencer J / Giuse, Dario A / Clark, John D / Fox, Zachary E / Giuse, Nunzia Bettinsoli

    Journal of the Medical Library Association : JMLA

    2020  Volume 108, Issue 2, Page(s) 286–294

    Abstract: Background: Advances in the health sciences rely on sharing research and data through publication. As information professionals are often asked to contribute their knowledge to assist clinicians and researchers in selecting journals for publication, the ...

    Abstract Background: Advances in the health sciences rely on sharing research and data through publication. As information professionals are often asked to contribute their knowledge to assist clinicians and researchers in selecting journals for publication, the authors recognized an opportunity to build a decision support tool, SPI-Hub: Scholarly Publishing Information Hub™, to capture the team's collective publishing industry knowledge, while carefully retaining the quality of service.
    Case presentation: SPI-Hub's decision support functionality relies on a data framework that describes journal publication policies and practices through a newly designed metadata structure, the Knowledge Management Journal Record™. Metadata fields are populated through a semi-automated process that uses custom programming to access content from multiple sources. Each record includes 25 metadata fields representing best publishing practices. Currently, the database includes more than 24,000 health sciences journal records. To correctly capture the resources needed for both completion and future maintenance of the project, the team conducted an internal study to assess time requirements for completing records through different stages of automation.
    Conclusions: The journal decision support tool, SPI-Hub, provides an opportunity to assess publication practices by compiling data from a variety of sources in a single location. Automated and semi-automated approaches have effectively reduced the time needed for data collection. Through a comprehensive knowledge management framework and the incorporation of multiple quality points specific to each journal, SPI-Hub provides prospective users with both recommendations for publication and holistic assessment of the trustworthiness of journals in which to publish research and acquire trusted knowledge.
    MeSH term(s) Decision Support Techniques ; Humans ; Information Storage and Retrieval ; Periodicals as Topic ; Publishing/organization & administration
    Language English
    Publishing date 2020-04-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2072435-4
    ISSN 1558-9439 ; 1536-5050
    ISSN (online) 1558-9439
    ISSN 1536-5050
    DOI 10.5195/jmla.2020.815
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: SPI-Hub™

    Taneya Y. Koonce / Mallory N. Blasingame / Jerry Zhao / Annette M. Williams / Jing Su / Spencer J. DesAutels / Dario A. Giuse / John D. Clark / Zachary E. Fox / Nunzia Bettinsoli Giuse

    Journal of the Medical Library Association, Vol 108, Iss

    a gateway to scholarly publishing information

    2020  Volume 2

    Abstract: Background: Advances in the health sciences rely on sharing research and data through publication. As information professionals are often asked to contribute their knowledge to assist clinicians and researchers in selecting journals for publication, the ... ...

    Abstract Background: Advances in the health sciences rely on sharing research and data through publication. As information professionals are often asked to contribute their knowledge to assist clinicians and researchers in selecting journals for publication, the authors recognized an opportunity to build a decision support tool, SPI-Hub: Scholarly Publishing Information Hub™, to capture the team’s collective publishing industry knowledge, while carefully retaining the quality of service. Case Presentation: SPI-Hub’s decision support functionality relies on a data framework that describes journal publication policies and practices through a newly designed metadata structure, the Knowledge Management Journal Record™. Metadata fields are populated through a semi-automated process that uses custom programming to access content from multiple sources. Each record includes 25 metadata fields representing best publishing practices. Currently, the database includes more than 24,000 health sciences journal records. To correctly capture the resources needed for both completion and future maintenance of the project, the team conducted an internal study to assess time requirements for completing records through different stages of automation. Conclusions: The journal decision support tool, SPI-Hub, provides an opportunity to assess publication practices by compiling data from a variety of sources in a single location. Automated and semi-automated approaches have effectively reduced the time needed for data collection. Through a comprehensive knowledge management framework and the incorporation of multiple quality points specific to each journal, SPI-Hub provides prospective users with both recommendations for publication and holistic assessment of the trustworthiness of journals in which to publish research and acquire trusted knowledge.
    Keywords knowledge management ; scholarly communication ; open access publishing ; metadata ; decision making ; Bibliography. Library science. Information resources ; Z ; Medicine ; R
    Subject code 020
    Language English
    Publishing date 2020-04-01T00:00:00Z
    Publisher University Library System, University of Pittsburgh
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Systematic review of international studies evaluating MDRD and CKD-EPI estimated glomerular filtration rate (eGFR) equations in Black adults.

    Ebele M Umeukeje / Taneya Y Koonce / Sheila V Kusnoor / Ifeoma I Ulasi / Sophia Kostelanetz / Annette M Williams / Mallory N Blasingame / Marcia I Epelbaum / Dario A Giuse / Annie N Apple / Karampreet Kaur / Tavia González Peña / Danika Barry / Leo G Eisenstein / Cameron T Nutt / Nunzia B Giuse

    PLoS ONE, Vol 17, Iss 10, p e

    2022  Volume 0276252

    Abstract: Use of race adjustment in estimating glomerular filtration rate (eGFR) has been challenged given concerns that it may negatively impact the clinical care of Black patients, as it results in Black patients being systematically assigned higher eGFR values ... ...

    Abstract Use of race adjustment in estimating glomerular filtration rate (eGFR) has been challenged given concerns that it may negatively impact the clinical care of Black patients, as it results in Black patients being systematically assigned higher eGFR values than non-Black patients. We conducted a systematic review to assess how well eGFR, with and without race adjustment, estimates measured GFR (mGFR) in Black adults globally. A search across multiple databases for articles published from 1999 to May 2021 that compared eGFR to mGFR and reported outcomes by Black race was performed. We included studies that assessed eGFR using the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPICr) creatinine equations. Risk of study bias and applicability were assessed with the QUality Assessment of Diagnostic Accuracy Studies-2. Of 13,167 citations identified, 12 met the data synthesis criteria (unique patient cohorts in which eGFR was compared to mGFR with and without race adjustment). The studies included patients with and without kidney disease from Africa (n = 6), the United States (n = 3), Europe (n = 2), and Brazil (n = 1). Of 11 CKD-EPI equation studies, all assessed bias, 8 assessed accuracy, 6 assessed precision, and 5 assessed correlation/concordance. Of 7 MDRD equation studies, all assessed bias, 6 assessed accuracy, 5 assessed precision, and 3 assessed correlation/concordance. The majority of studies found that removal of race adjustment improved bias, accuracy, and precision of eGFR equations for Black adults. Risk of study bias was often unclear, but applicability concerns were low. Our systematic review supports the need for future studies to be conducted in diverse populations to assess the possibility of alternative approaches for estimating GFR. This study additionally provides systematic-level evidence for the American Society of Nephrology-National Kidney Foundation Task Force efforts to pursue other options for GFR estimation.
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Why equating all evidence searches to systematic reviews defies their role in information seeking.

    Fox, Zachary E / Williams, Annette M / Blasingame, Mallory N / Koonce, Taneya Y / Kusnoor, Sheila V / Su, Jing / Lee, Patricia / Epelbaum, Marcia I / Naylor, Helen M / DesAutels, Spencer J / Frakes, Elizabeth T / Giuse, Nunzia Bettinsoli

    Journal of the Medical Library Association : JMLA

    2019  Volume 107, Issue 4, Page(s) 613–617

    Abstract: All too often the quality and rigor of topic investigations is inaccurately conveyed to information professionals, resulting in a mischaracterization of the research, which, if left unchecked and published, may in turn mislead potential readers. ... ...

    Abstract All too often the quality and rigor of topic investigations is inaccurately conveyed to information professionals, resulting in a mischaracterization of the research, which, if left unchecked and published, may in turn mislead potential readers. Accurately understanding and categorizing the types of topic investigation searches that are requested of information professionals is critical to both meeting requestors' needs and reflecting their intended methodological approaches. Information professionals' expertise can be an invaluable resource to guide users through the investigative and publication process.
    MeSH term(s) Checklist/standards ; Data Collection/standards ; Evidence-Based Medicine/standards ; Evidence-Based Practice/trends ; Humans ; Information Seeking Behavior ; Meta-Analysis as Topic ; Quality Control ; Systematic Reviews as Topic
    Language English
    Publishing date 2019-10-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2072435-4
    ISSN 1558-9439 ; 1536-5050
    ISSN (online) 1558-9439
    ISSN 1536-5050
    DOI 10.5195/jmla.2019.707
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A personalized approach to deliver health care information to diabetic patients in community care clinics.

    Koonce, Taneya Y / Giuse, Nunzia B / Kusnoor, Sheila V / Hurley, Suzanne / Ye, Fei

    Journal of the Medical Library Association : JMLA

    2015  Volume 103, Issue 3, Page(s) 123–130

    Abstract: Objective: The study's purpose was to test the generalizability of an individualized information prescription model, which has been previously validated for educating patients about hypertension in emergency department and community health center ... ...

    Abstract Objective: The study's purpose was to test the generalizability of an individualized information prescription model, which has been previously validated for educating patients about hypertension in emergency department and community health center settings. Study investigators assessed the effects of educational materials targeted to health literacy levels and learning styles on patients' diabetes knowledge in a community clinic setting.
    Methods: From May to August 2012, 160 patients were recruited and randomized into intervention (n = 81) and control (n = 79) groups. Inclusion criteria included 18 years or older, English or Spanish speaker, and a type 2 diabetes diagnosis. Measures included modified versions of the Diabetes Knowledge Test and Subjective Numeracy Scale, along with brief health literacy and learning style assessments. Study team members contacted both groups after 2 and 6 weeks to reassess diabetes knowledge.
    Results: The control group showed no significant change in diabetes knowledge at both follow-ups. In contrast, the mean number of diabetes knowledge questions answered correctly by the intervention group increased significantly after 2 weeks (Δ = 2.66, P = 0.000), which persisted at 6 weeks (Δ = 2.46, P = 0.00).
    Conclusions: This study showed that patients' knowledge about diabetes increased significantly after exposure to educational materials targeted to their health literacy levels and learning style preferences and that the model is transferrable among health conditions.
    MeSH term(s) Adult ; Diabetes Mellitus, Type 2/psychology ; Diabetes Mellitus, Type 2/therapy ; Female ; Health Behavior ; Health Education/methods ; Health Knowledge, Attitudes, Practice ; Health Literacy ; Humans ; Male ; Middle Aged ; Patient Education as Topic/methods ; Young Adult
    Language English
    Publishing date 2015-07
    Publishing country United States
    Document type Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
    ZDB-ID 2072450-0
    ISSN 1558-9439 ; 0025-7338 ; 1536-5050
    ISSN (online) 1558-9439 ; 0025-7338
    ISSN 1536-5050
    DOI 10.3163/1536-5050.103.3.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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