131 results match your criteria: "School of Information and Library Science[Affiliation]"

Background: There is a need for improved methodologies on how to longitudinally analyze, interpret and learn from the Surveys on Patient Safety Culture™ (SOPS), developed by the Agency for Healthcare Research and Quality (AHRQ). Typically, SOPS quantify results by the percentage of positive responses, but this approach may miss insights from neutral or negative feedback.

Study Design: The SOPS were distributed every two years from 2011 to 2022 to all hospital staff at one academic institution from perioperative services.

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Quality checklists have demonstrated benefits in healthcare and other high-reliability organizations, but there remains a gap in the understanding of design approaches and levels of stakeholder engagement in the development of these quality checklists. This scoping review aims to synthesize the current knowledge base regarding the use of various design approaches for developing quality checklists in healthcare. Secondary objectives are to explore theoretical frameworks, design principles, stakeholder involvement and engagement, and characteristics of the design methods used for developing quality checklists.

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Operating Room Teams Display Acceptable Levels of Patient Safety Behaviors During Surgical Cases.

J Surg Educ

August 2024

University of North Carolina at Chapel Hill, Division of Healthcare Engineering, School of Medicine, Chapel HIll, North Carolina, USA; University of North Carolina at Chapel Hill, School of Information and Library Science, Chapel HIll, North Carolina, USA. Electronic address:

Introduction: Cornerstones of patient safety include reliable safety behaviors proposed by Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) practices. A better quantification of these behaviors is needed to establish a baseline for future improvement efforts.

Methods: At one large academic medical center, OR Teams were prospectively assigned to be observed during surgical cases, and patient safety behaviors were quantified using the Teamwork Evaluation of Non-Technical Skills (TENTS) instrument.

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Clinical Decision Support for Surgery: A Mixed Methods Study on Design and Implementation Perspectives From Urologists.

Urology

August 2024

Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina, Chapel Hill, NC; Department of Health Policy & Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC; Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC.

Objective: To assess urologist attitudes toward clinical decision support (CDS) embedded into the electronic health record (EHR) and define design needs to facilitate implementation and impact. With recent advances in big data and artificial intelligence (AI), enthusiasm for personalized, data-driven tools to improve surgical decision-making has grown, but the impact of current tools remains limited.

Methods: A sequential explanatory mixed methods study from 2019 to 2020 was performed.

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Given the persistent safety incidents in operating rooms (ORs) nationwide (approx. 4,000 preventable harmful surgical errors per year), there is a need to better analyze and understand reported patient safety events. This study describes the results of applying the Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) supported by the Teamwork Evaluation of Non-Technical Skills (TENTS) instrument to analyze patient safety event reports at one large academic medical center.

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Introduction: Open science initiatives have enabled sharing of large amounts of already collected data. However, significant gaps remain regarding how to find appropriate data, including underutilized data that exist in the long tail of science. We demonstrate the NeuroBridge prototype and its ability to search PubMed Central full-text papers for information relevant to neuroimaging data collected from schizophrenia and addiction studies.

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In this study, we measured female college students' mental health and physical activities to identify factors that affect their intention to use wearable health-monitoring devices. Specifically, the study derived correlations between female students' health-related quality of life (HRQoL) including, physical activity, stress level, attitudes toward eating, and self-esteem. Using this information, we ascertained the relationship between female college students' use of wearable devices and physical activity and examined the requirements for smartphone applications for healthcare.

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Introduction: The purpose of this study was to determine pharmacy preceptor perceptions of an entrustable professional activity (EPA) evaluation tool redesigned in 2019 and launched for use in May 2020.

Methods: Participants received an optional survey in June 2021 regarding their perceptions of the redesigned EPA assessment tool. The survey used a combination of open- and closed-ended questions regarding preceptor perceptions of the revised form, including perceptions of accuracy, usability, ease of use, grading, EPAs, and form layout.

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Background Delivering in-person health care to the more than 1.2 million incarcerated adults can be expensive, logistically challenging, fragmented, and pose security risks. The purpose of this study was to evaluate the implementation of a specialty care telemedicine program in statewide prisons in North Carolina during the COVID-19 pandemic.

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To improve the dissemination and actionability of mental health research, many mental health professionals have developed online informational resources to increase the general public's awareness of mental health difficulties and available treatments. Yet, limited information exists on the quality and scope of these resources. This study aimed to explore the scope and quantity of online, free, evidence-based mental health resources.

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Data Science Curriculum in the iField.

J Assoc Inf Sci Technol

June 2023

School of Information Studies, Syracuse University, Syracuse, New York, USA.

Many disciplines, including the broad Field of Information (iField), have been offering Data Science (DS) programs. There have been significant efforts exploring an individual discipline's identity and unique contributions to the broader DS education landscape. To advance DS education in the iField, the iSchool Data Science Curriculum Committee (iDSCC) was formed and charged with building and recommending a DS education framework for iSchools.

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Electronic Health Record Use and Perceptions among Urologic Surgeons.

Appl Clin Inform

March 2023

Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, United States.

Objective: Electronic health records (EHRs) have become widely adopted with increasing emphasis on improving care delivery. Improvements in surgery may be limited by specialty-specific issues that impact EHR usability and engagement. Accordingly, we examined EHR use and perceptions in urology, a diverse surgical specialty.

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ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data.

STAR Protoc

March 2023

Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel H0069ll, NC 27514, USA; School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Carolina Health and Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address:

Understanding cellular metabolism is important across biotechnology and biomedical research and has critical implications in a broad range of normal and pathological conditions. Here, we introduce the user-friendly web-based platform ImmCellFie, which allows the comprehensive analysis of metabolic functions inferred from transcriptomic or proteomic data. We explain how to set up a run using publicly available omics data and how to visualize the results.

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The scale of the human exposome, which covers all environmental exposures encountered from conception to death, presents major challenges in managing, sharing, and integrating a myriad of relevant data types and available data sets for the benefit of exposomics research and public health. By addressing these challenges, the exposomics research community will be able to greatly expand on its ability to aggregate study data for new discoveries, construct and update novel exposomics data sets for building artificial intelligence and machine learning-based models, rapidly survey emerging issues, and advance the application of data-driven science. The diversity of the field, which spans multiple subfields of science disciplines and different environmental contexts, necessitates adopting data federation approaches to bridge between numerous geographically and administratively separated data resources that have varying usage, privacy, access, analysis, and discoverability capabilities and constraints.

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Environmental factors affecting health and vulnerability far outweigh genetics in accounting for disparities in health status and longevity in US communities. The concept of the exposome, the totality of exposure from conception onwards, provides a paradigm for researchers to investigate the complex role of the environment on the health of individuals. We propose a complementary framework, community-level exposomics, for population-level exposome assessment.

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Older adults are characterized by profound clinical heterogeneity. When designing and delivering interventions, there exist multiple approaches to account for heterogeneity. We present the results of a systematic review of data-driven, personalized interventions in older adults, which serves as a use case to distinguish the conceptual and methodologic differences between individualized intervention delivery and precision health-derived interventions.

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A health recommender system (HRS) provides a user with personalized medical information based on the user's health profile. This scoping review aims to identify and summarize the HRS development in the most recent decade by focusing on five key aspects: health domain, user, recommended item, recommendation technology, and system evaluation. We searched PubMed, ACM Digital Library, IEEE Xplore, Web of Science, and Scopus databases for English literature published between 2010 and 2022.

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Autism Spectrum Disorder (ASD) diagnosis remains behavior-based and the median age of diagnosis is ~52 months, nearly 5 years after its first-trimester origin. Accurate and clinically-translatable early-age diagnostics do not exist due to ASD genetic and clinical heterogeneity. Here we collected clinical, diagnostic, and leukocyte RNA data from 240 ASD and typically developing (TD) toddlers (175 toddlers for training and 65 for test).

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Background: Online health care consultation has been widely adopted to supplement traditional face-to-face patient-doctor interactions. Patients benefit from this new modality of consultation because it allows for time flexibility by eliminating the distance barrier. However, unlike the traditional face-to-face approach, the success of online consultation heavily relies on the accuracy of patient-reported conditions and symptoms.

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Poverty alleviation by consumption is a powerful way to help the poor people get rid of poverty, which plays a significant role in China's rural revitalization. However, the achievement of poverty alleviation by consumption mostly depends on government procurement, and the enthusiasm of customers to participate is low, facing the severe challenge of poor sustainability. Helping the poor is the most common motivation for customers to buy poverty-alleviation agricultural products (PAAP).

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