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  1. Article ; Online: Chasing John Snow

    Pietz, Jesse / McCoy, Scott / Wilck, Joseph H.

    European Journal of Information Systems

    data analytics in the COVID-19 era

    2020  Volume 29, Issue 4, Page(s) 388–404

    Keywords Library and Information Sciences ; Information Systems ; covid19
    Language English
    Publisher Informa UK Limited
    Publishing country uk
    Document type Article ; Online
    ISSN 0960-085X
    DOI 10.1080/0960085x.2020.1793698
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: Chasing John Snow: data analytics in the COVID-19 era

    Pietz, Jesse / McCoy, Scott / Wilck, JosephH.

    Eur. J. Inf. Syst.

    Abstract: During the first half of 2020, the lives of people around the world abruptly changed due to COVID-19. Data visualisations and models related to the spread of the disease became ubiquitous. In this paper, we survey 25 different data analytics dashboards, ... ...

    Abstract During the first half of 2020, the lives of people around the world abruptly changed due to COVID-19. Data visualisations and models related to the spread of the disease became ubiquitous. In this paper, we survey 25 different data analytics dashboards, highlight the modelling approach taken by each, and develop a multi-attribute utility theory model to assess their effectiveness in communicating key features that explain the spread of infectious disease. We show that the dashboards that feature dimensions that span the categories associated with compartmental epidemiology models tend to be relatively robust data visualisations, and we highlight that information systems need to be improved to include data on actions to reduce the spread of the disease. We analyse the actions taken by countries around the world and show that when governments employ strict measures early, particularly those that enforce social distancing and include widespread testing and comprehensive contact tracing, they are more likely to experience better outcomes. Recommendations for how countries should respond in future pandemics are detailed.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #671336
    Database COVID19

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  3. Article ; Online: Relief in Sight? Chatbots, In-baskets, and the Overwhelmed Primary Care Clinician.

    Matulis, John / McCoy, Rozalina

    Journal of general internal medicine

    2023  Volume 38, Issue 12, Page(s) 2808–2815

    Abstract: The recent emergence of publically facing artificial intelligence (AI) chatbots has generated vigorous discussion in the lay public around the possibilities, liabilities, and uncertainties of the integration of such technology into everyday life. As ... ...

    Abstract The recent emergence of publically facing artificial intelligence (AI) chatbots has generated vigorous discussion in the lay public around the possibilities, liabilities, and uncertainties of the integration of such technology into everyday life. As primary care clinicians continue to struggle against ever-increasing loads of asynchronous, electronic work, the potential for AI to improve the quality and efficiency of this work looms large. In this essay, we discuss the basic premise of open-access AI chatbots such as CHATGPT, review prior applications of AI in healthcare, and preview some possible AI chatbot-assisted in-basket assistance including scenarios of communicating test results with patients, providing patient education, and clinical decision support in history taking, review of prior diagnostic test characteristics, and common management scenarios. We discuss important concerns related to the future adoption of this technology including the transparency of the training data used in developing these models, the level of oversight and trustworthiness of the information generated, and possible impacts on equity, bias, and patient privacy. A stepwise and balanced approach to simultaneously understand the capabilities and address the concerns associated with these tools will be needed before these tools can improve patient care.
    MeSH term(s) Humans ; Artificial Intelligence ; Electronics ; Technology ; Uncertainty ; Primary Health Care
    Language English
    Publishing date 2023-06-27
    Publishing country United States
    Document type Editorial
    ZDB-ID 639008-0
    ISSN 1525-1497 ; 0884-8734
    ISSN (online) 1525-1497
    ISSN 0884-8734
    DOI 10.1007/s11606-023-08271-8
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  4. Article: St. John Medical Center laboratory conversion: a case study.

    McCoy, G E

    Computers in healthcare

    1984  Volume 5, Issue 9, Page(s) 26–30

    MeSH term(s) Computers ; Hospital Bed Capacity, 500 and over ; Laboratories/organization & administration ; Oklahoma
    Language English
    Publishing date 1984-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604880-8
    ISSN 0745-1075 ; 0274-631X
    ISSN 0745-1075 ; 0274-631X
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  5. Article ; Online: A Woman With Recurrent Torsade de Pointes.

    McCoy, Cody / Miller, John M / Tanawuttiwat, Tanyanan

    JAMA cardiology

    2023  Volume 8, Issue 4, Page(s) 400–401

    MeSH term(s) Female ; Humans ; Torsades de Pointes/diagnosis ; Torsades de Pointes/etiology ; Long QT Syndrome ; Electrocardiography
    Language English
    Publishing date 2023-01-17
    Publishing country United States
    Document type Journal Article
    ISSN 2380-6591
    ISSN (online) 2380-6591
    DOI 10.1001/jamacardio.2022.5094
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  6. Article ; Online: Semantic determinants of memorability.

    Aka, Ada / Bhatia, Sudeep / McCoy, John

    Cognition

    2023  Volume 239, Page(s) 105497

    Abstract: We examine why some words are more memorable than others by using predictive machine learning models applied to word recognition and recall datasets. Our approach provides more accurate out-of-sample predictions for recognition and recall than previous ... ...

    Abstract We examine why some words are more memorable than others by using predictive machine learning models applied to word recognition and recall datasets. Our approach provides more accurate out-of-sample predictions for recognition and recall than previous psychological models, and outperforms human participants in new studies of memorability prediction. Our approach's predictive power stems from its ability to capture the semantic determinants of memorability in a data-driven manner. We identify which semantic categories are important for memorability and show that, unlike features such as word frequency that influence recognition and recall differently, the memorability of semantic categories is consistent across recognition and recall. Our paper sheds light on the complex psychological drivers of memorability, and in doing so illustrates the power of machine learning methods for psychological theory development.
    MeSH term(s) Humans ; Semantics ; Mental Recall ; Recognition, Psychology ; Models, Psychological
    Language English
    Publishing date 2023-07-11
    Publishing country Netherlands
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, Non-U.S. Gov't
    ZDB-ID 1499940-7
    ISSN 1873-7838 ; 0010-0277
    ISSN (online) 1873-7838
    ISSN 0010-0277
    DOI 10.1016/j.cognition.2023.105497
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  7. Article ; Online: Quality Measurement as a Path to High Quality Care Comment on "Quality and Performance Measurement in Primary Diabetes Care: A Qualitative Study in Urban China".

    Matulis Iii, John C / McCoy, Rozalina G

    International journal of health policy and management

    2023  Volume 12, Page(s) 7884

    Abstract: A rigorous evaluation of the implementation of a diabetes quality measure implementation program across community healthcare clinics in Shanghai, China, where both quality measurement and primary care delivery are relatively recent but centrally ... ...

    Abstract A rigorous evaluation of the implementation of a diabetes quality measure implementation program across community healthcare clinics in Shanghai, China, where both quality measurement and primary care delivery are relatively recent but centrally supported, identified important concerns about the meaningfulness, feasibility, and accuracy of quality measures that are relevant to all quality measurement programs. These include the importance of stakeholder involvement in measure development and implementation, the need to select measures that accurately and reliably reflect care quality, the link between incentives for improved performance and data manipulation, the necessity for scientific credibility and practical feasibility of the measure, and the assurance that measure performance can be impacted by those being evaluated. In addition to elaborating on these aspects of quality measurement, we also discuss the need for quality measures that are balanced across established domains of quality, are not burdensome to participants, and are transparent, parsimonious, nimble, and oriented around continuous evaluation and improvement.
    MeSH term(s) Humans ; China ; Diabetes Mellitus/therapy ; Qualitative Research ; Community Health Services ; Quality of Health Care
    Language English
    Publishing date 2023-09-25
    Publishing country Iran
    Document type Journal Article
    ZDB-ID 2724317-5
    ISSN 2322-5939 ; 2322-5939
    ISSN (online) 2322-5939
    ISSN 2322-5939
    DOI 10.34172/ijhpm.2023.7884
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  8. Article ; Online: Dead rats, dopamine, performance metrics, and peacock tails: proxy failure is an inherent risk in goal-oriented systems.

    John, Yohan J / Caldwell, Leigh / McCoy, Dakota E / Braganza, Oliver

    The Behavioral and brain sciences

    2023  , Page(s) 1–68

    Abstract: When a measure becomes a target, it ceases to be a good measure. For example, when standardized test scores in education become targets, teachers may start 'teaching to the test', leading to breakdown of the relationship between the measure--test ... ...

    Abstract When a measure becomes a target, it ceases to be a good measure. For example, when standardized test scores in education become targets, teachers may start 'teaching to the test', leading to breakdown of the relationship between the measure--test performance--and the underlying goal--quality education. Similar phenomena have been named and described across a broad range of contexts, such as economics, academia, machine-learning, and ecology. Yet it remains unclear whether these phenomena bear only superficial similarities, or if they derive from some fundamental unifying mechanism. Here, we propose such a unifying mechanism, which we label
    Language English
    Publishing date 2023-06-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 423721-3
    ISSN 1469-1825 ; 0140-525X
    ISSN (online) 1469-1825
    ISSN 0140-525X
    DOI 10.1017/S0140525X23002753
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  9. Article ; Online: Non-commitment in mental imagery.

    Bigelow, Eric J / McCoy, John P / Ullman, Tomer D

    Cognition

    2023  Volume 238, Page(s) 105498

    Abstract: We examine non-commitment in the imagination. Across 5 studies (N > 1, 800), we find that most people are non-committal about basic aspects of their mental images, including features that would be readily apparent in real images. While previous work on ... ...

    Abstract We examine non-commitment in the imagination. Across 5 studies (N > 1, 800), we find that most people are non-committal about basic aspects of their mental images, including features that would be readily apparent in real images. While previous work on the imagination has discussed the possibility of non-commitment, this paper is the first, to our knowledge, to examine this systematically and empirically. We find that people do not commit to basic properties of specified mental scenes (Studies 1 and 2), and that people report non-commitment rather than uncertainty or forgetfulness (Study 3). Such non-commitment is present even for people with generally vivid imaginations, and those who report imagining the specified scene very vividly (Studies 4a, 4b). People readily confabulate properties of their mental images when non-commitment is not offered as an explicit option (Study 5). Taken together, these results establish non-commitment as a pervasive component of mental imagery.
    MeSH term(s) Humans ; Imagination ; Knowledge
    Language English
    Publishing date 2023-05-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1499940-7
    ISSN 1873-7838 ; 0010-0277
    ISSN (online) 1873-7838
    ISSN 0010-0277
    DOI 10.1016/j.cognition.2023.105498
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  10. Article ; Online: Effects of a small-baby protocol on early and long-term outcomes in extremely preterm infants: A quality improvement study.

    Saxton, Sage N / Evered, John / McCoy, Karlee / Atkins, Kristi

    Early human development

    2023  Volume 179, Page(s) 105733

    Abstract: Background: Extremely preterm (EPT) infants (≤28 weeks) remain at risk for poor outcomes. Small baby protocols (SBPs) may improve outcomes, but optimal strategies are unknown.: Methods: This study evaluated whether EPT infants managed using an SBP ... ...

    Abstract Background: Extremely preterm (EPT) infants (≤28 weeks) remain at risk for poor outcomes. Small baby protocols (SBPs) may improve outcomes, but optimal strategies are unknown.
    Methods: This study evaluated whether EPT infants managed using an SBP would have better outcomes compared to a historical control (HC) group. The study compared a HC group of EPT infants 23 0/7 weeks to 28 0/7 weeks GA (2006-2007), to a similar SBP group (2007-2008). Survivors were followed until 13 years of life. The SBP emphasized antenatal steroids, delayed cord clamping, respiratory and hemodynamic minimalism, prophylactic indomethacin, early empiric caffeine, and control of sound and light.
    Results: There were 35 HC subjects and 35 SBP subjects. The SBP group had less severe IVH-PVH (9 % vs. 40 %, risk ratio 0.7, 95 % CI 0.5-0.9, P = 0.002) mortality (17 % vs. 46 %, risk ratio 0.6, 95 % CI 0.5-0.9, P = 0.004), and acute pulmonary hemorrhage (6 % vs. 23 %, risk ratio 0.8, 95 % CI 0.7-1.0, P = 0.04). Compliance with the SBP protocol was excellent. For the SBP group in the first 72 h, no subjects received inotropes, hydrocortisone, or sodium bicarbonate. Intubation, mechanical ventilation, fluid boluses, sedation, red blood cell transfusions, and insulin use decreased. At 10-13 years, more SBP subjects had survived without NDI (51 % vs. 23 %, risk ratio = 1.6, 95 % CI = 1.1-2.4, P = 0.01). More SBP subjects also survived without NDI and with a Vineland Adaptive Behavior Composite score > 85 (44 % vs. 11 %, risk ratio = 2.0, 95 % CI = 1.2-3.2, P ≤0.001). The SBP group had less visual impairment.
    Conclusion: An SBP was associated with improved outcomes, including normal neurologic survival after 10 years.
    MeSH term(s) Infant ; Infant, Newborn ; Humans ; Female ; Pregnancy ; Infant, Extremely Premature ; Quality Improvement ; Indomethacin ; Infant, Small for Gestational Age ; Cerebral Hemorrhage
    Chemical Substances Indomethacin (XXE1CET956)
    Language English
    Publishing date 2023-02-22
    Publishing country Ireland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 752532-1
    ISSN 1872-6232 ; 0378-3782
    ISSN (online) 1872-6232
    ISSN 0378-3782
    DOI 10.1016/j.earlhumdev.2023.105733
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