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  1. Article ; Online: Challenges and Opportunities of Patient Safety Event Reporting.

    Gong, Yang

    Studies in health technology and informatics

    2022  Volume 291, Page(s) 133–150

    Abstract: The World Health Organization (WHO) announced the first-ever World Patient Safety Day on September 17, 2019, which remarks a global campaign to create an awareness of patient safety and urges people to show their commitment to making healthcare safer. ... ...

    Abstract The World Health Organization (WHO) announced the first-ever World Patient Safety Day on September 17, 2019, which remarks a global campaign to create an awareness of patient safety and urges people to show their commitment to making healthcare safer. Reporting medical incidents or patient safety events (PSE) has been recommended as an effective approach for the detection of patterns, discovery of underlying factors, and generation of solutions. It is believed that PSE reporting systems (e-reporting) could be a good resource to share and to learn from the reporting if the event data are collected in a properly structured format. Unfortunately, the prevalence of underreporting and low quality of the reports have become barriers to ultimately achieve the goal of preventing and reducing medical incidents. This chapter describes the efforts that have been made to improve e-reporting through informatics approaches, including a review of PSE taxonomies and conceptual frameworks, studies of medication events, patient falls, and PSE involved in health information technologies, as well as discussions of design requirements for future e-reporting systems.
    MeSH term(s) Humans ; Medical Informatics ; Patient Safety ; Risk Management ; World Health Organization
    Language English
    Publishing date 2022-05-20
    Publishing country Netherlands
    Document type Journal Article ; Review
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI220014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Learning from Non-Routine Events and Teamwork in Intensive Care Units: Challenges and Opportunities.

    Gong, Yang / Chen, You

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 324–328

    Abstract: Patients admitted to intensive care units (ICUs) have profound and complex illnesses, often fraught with uncertainties in diagnoses, treatments, and care decisions. Clinicians often deviate from best practices to handle ICUs' myriad complexities and ... ...

    Abstract Patients admitted to intensive care units (ICUs) have profound and complex illnesses, often fraught with uncertainties in diagnoses, treatments, and care decisions. Clinicians often deviate from best practices to handle ICUs' myriad complexities and uncertainties. Non-routine events (NREs), defined as any aspect of care perceived by clinicians as deviations from optimal care, are latent and frequent safety threats that, if left unchecked, can be precursors to adverse events. Proper identification and analysis of NREs that represent latent safety threats have been proposed as a feasible and more effective approach for performance improvement than traditional root cause analysis for patient safety events. However, NRE studies to date have yet to show the holistic picture of NREs in the contexts of teamwork and time-dependent tasks that are frequently associated with NREs. NREs, an upstream interventional area to understand root causes, team performance, and human-computer interaction, still needs to be expanded. This article presents concepts of NREs, and the use of real-world data (RWD) and informatics methodology to investigate NREs in contexts and discusses the opportunities and challenges to enhance NREs research in teamwork and time-dependent tasks.
    MeSH term(s) Humans ; Hospitalization ; Intensive Care Units ; Root Cause Analysis ; Uncertainty
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230980
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Editorial: Teaching and learning Chinese as a foreign or second language: the educational psychology perspective.

    Gong, Yang Frank / Lai, Chun

    Frontiers in psychology

    2024  Volume 15, Page(s) 1333836

    Language English
    Publishing date 2024-02-12
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2024.1333836
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Assessing the Reproducibility of Research Based on the Food and Drug Administration Manufacturer and User Facility Device Experience Data.

    Li, Xinyu / Feng, Yubo / Gong, Yang / Chen, You

    Journal of patient safety

    2024  

    Abstract: Objective: This article aims to assess the reproducibility of Manufacturer and User Facility Device Experience (MAUDE) data-driven studies by analyzing the data queries used in their research processes.: Methods: Studies using MAUDE data were sourced ...

    Abstract Objective: This article aims to assess the reproducibility of Manufacturer and User Facility Device Experience (MAUDE) data-driven studies by analyzing the data queries used in their research processes.
    Methods: Studies using MAUDE data were sourced from PubMed by searching for "MAUDE" or "Manufacturer and User Facility Device Experience" in titles or abstracts. We manually chose articles with executable queries. The reproducibility of each query was assessed by replicating it in the MAUDE Application Programming Interface. The reproducibility of a query is determined by a reproducibility coefficient that ranges from 0.95 to 1.05. This coefficient is calculated by comparing the number of medical device reports (MDRs) returned by the reproduced queries to the number of reported MDRs in the original studies. We also computed the reproducibility ratio, which is the fraction of reproducible queries in subgroups divided by the query complexity, the device category, and the presence of a data processing flow.
    Results: As of August 8, 2022, we identified 523 articles from which 336 contained queries, and 60 of these were executable. Among these, 14 queries were reproducible. Queries using a single field like product code, product class, or brand name showed higher reproducibility (50%, 33.3%, 31.3%) compared with other fields (8.3%, P = 0.037). Single-category device queries exhibited a higher reproducibility ratio than multicategory ones, but without statistical significance (27.1% versus 8.3%, P = 0.321). Studies including a data processing flow had a higher reproducibility ratio than those without, although this difference was not statistically significant (42.9% versus 17.4%, P = 0.107).
    Conclusions: Our findings indicate that the reproducibility of queries in MAUDE data-driven studies is limited. Enhancing this requires the development of more effective MAUDE data query strategies and improved application programming interfaces.
    Language English
    Publishing date 2024-03-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2394324-5
    ISSN 1549-8425 ; 1549-8417
    ISSN (online) 1549-8425
    ISSN 1549-8417
    DOI 10.1097/PTS.0000000000001220
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Challenges in Selecting Patient-Reported Outcome Measures for Use in a Patient-Facing Technology.

    Raj, Priyank / Cho, Youmin / Jiang, Yun / Gong, Yang

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 1432–1433

    Abstract: Patient-reported outcome measures (PROMs) have been increasingly integrated into patient-facing technologies to engage and empower patients in cancer self-management at home. However, researchers and developers face several challenges in selecting the ... ...

    Abstract Patient-reported outcome measures (PROMs) have been increasingly integrated into patient-facing technologies to engage and empower patients in cancer self-management at home. However, researchers and developers face several challenges in selecting the best-suited PROMs for patient-facing technologies, due to the complex nature of the disease, the multitude of PROMs with high psychometric quality, and the lack of clear standards for PROM utilization. In this paper, we have discussed these challenges, illustrated by breast cancer instruments.
    MeSH term(s) Humans ; Female ; Breast Neoplasms/therapy ; Patients ; Psychometrics ; Technology ; Patient Reported Outcome Measures
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231230
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A Quantitative Analysis of Patient-Facing Technologies for Patient Self-Reporting.

    Ding, Mengchen / Cho, Youmin / Jiang, Yun / Gong, Yang

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 504–508

    Abstract: Dramatic improvements in patient-facing technologies have demonstrated the potential to transform healthcare delivery for a 360-degree holistic view of care. A key question regarding how such technologies affect patient self-reporting still needs to be ... ...

    Abstract Dramatic improvements in patient-facing technologies have demonstrated the potential to transform healthcare delivery for a 360-degree holistic view of care. A key question regarding how such technologies affect patient self-reporting still needs to be answered. This study presents the technologies and their associated key variables via quantitative analysis. Associations were found between single-platform and web-based applications (apps), Android apps and physician view, mental health disease, and user feedback. The results are intended to inform future design, development, and evaluation of patient-facing technologies. More systematic, theory-driven, framework-based design and evaluation are necessary to fully characterize the effectiveness and maintenance of patient-facing technologies toward a sustainable strategy.
    MeSH term(s) Humans ; Mental Disorders/diagnosis ; Mental Disorders/therapy ; Patients ; Physicians ; Self Report ; Software
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Teamwork and Patient Safety in Intensive Care Units: Challenges and Opportunities.

    Chen, You / Gong, Yang

    Studies in health technology and informatics

    2022  Volume 290, Page(s) 469–473

    Abstract: Intensive Care Units (ICUs) are recognized as a susceptible area to potential errors resulting in adverse outcomes. Healthcare professionals are multi-tasking, information-overloaded, and often with an interruptive workflow in ICUs. Such a stressful work ...

    Abstract Intensive Care Units (ICUs) are recognized as a susceptible area to potential errors resulting in adverse outcomes. Healthcare professionals are multi-tasking, information-overloaded, and often with an interruptive workflow in ICUs. Such a stressful work environment poses challenges to reach a shared mental model in clinical practice, which leads to ineffective communication and reduces their awareness of potential safety risks. Despite data sources or materials supporting patient safety and team training being available, little research has been conducted to measure teamwork in clinical practice and to detect inefficient communication factors. The advent of telehealth provides an opportunity for remote video watchers to observe the entire process of patient care and related team activities. The potential application of video analyzing algorithms to video recordings can detect safety risks retrospectively. This article presents major teamwork and patient safety challenges in ICUs, and the opportunities of utilizing available data and telehealth including video recordings in future patient safety and teamwork research.
    MeSH term(s) Health Personnel ; Humans ; Intensive Care Units ; Patient Care Team ; Patient Safety ; Retrospective Studies
    Language English
    Publishing date 2022-06-07
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI220120
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A Patient-Centered Approach to Collecting and Displaying Patient Identifiers.

    Van Hal, Christina / Mills, Jennifer L / Gatmaitan, Mary / Gong, Yang

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 369–373

    Abstract: Patient identifiers such as name, date of birth, or gender are the first line of defense to ensure the accuracy of the health data displayed in health information exchange. Health data display is the impetus for clinical decisions and patient outcomes ... ...

    Abstract Patient identifiers such as name, date of birth, or gender are the first line of defense to ensure the accuracy of the health data displayed in health information exchange. Health data display is the impetus for clinical decisions and patient outcomes and directly correlates with promoting interoperability and health information exchange. Therefore, constant monitoring of quality metrics is imperative for clinical leaders to keep a pulse on what is happening within their organizations. However, the electronic health records (EHRs) designer should also take precautions to ensure the visualizations are not misleading, given that EHRs have been shown in some studies to lead to increased patient safety events.
    MeSH term(s) Humans ; Records ; Electronic Health Records ; Benchmarking ; Data Display ; Patient-Centered Care
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230989
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: User-Centered Data Display for Clinicians to Diagnose and Manage Hypertension.

    Ho, Carly / Layinka, Oluwatumininu / Chukelu, Valerie / Phong, Kevin / Gong, Yang

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 1396–1397

    Abstract: The accurate diagnosis and effective treatment of hypertension are hindered by challenges stemming from limited access to comprehensive blood pressure (BP) data and the need for clinical context surrounding BP readings. Using handwritten tables for home- ... ...

    Abstract The accurate diagnosis and effective treatment of hypertension are hindered by challenges stemming from limited access to comprehensive blood pressure (BP) data and the need for clinical context surrounding BP readings. Using handwritten tables for home-monitored BP exacerbates issues related to integration of electronic health records (EHRs) and trend analysis. This study employs user-centered design principles to develop prototypes for BP data visualization, with the primary goal of harmonizing disparate BP data sources to empower clinicians in precise hypertension diagnosis and management.
    MeSH term(s) Humans ; Data Display ; Hypertension/diagnosis ; Hypertension/therapy ; Blood Pressure ; Blood Pressure Determination ; Data Visualization
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231212
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Exploring a Mechanism Toward Automated Feedback for Cancer Patient Self-Reporting.

    Phong, Kevin / Ding, Mengchen / Cho, Youmin / Jiang, Yun / Gong, Yang

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 539–543

    Abstract: Infobuttons" spearheaded electronic health records (EHR) based decision support by offering automated knowledge resources to physicians. However, how such a mechanism could be leveraged to provide optimal resources to patients remains unanswered. ... ...

    Abstract "Infobuttons" spearheaded electronic health records (EHR) based decision support by offering automated knowledge resources to physicians. However, how such a mechanism could be leveraged to provide optimal resources to patients remains unanswered. Informatics approaches are expected to utilize more relevant information beyond EHR, such as patient-reported outcomes, to support clinical decisions. This pilot study is intended to explore how patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE) in EHR can be incorporated and how to recommend tailored content to cancer patients via automated feedback.
    MeSH term(s) Humans ; Feedback ; Pilot Projects ; Electronic Health Records ; Knowledge ; Neoplasms
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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