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Articles 1321 - 1350 of 7883
Full-Text Articles in Entire DC Network
“Beautiful Chaos”: Clinicians’ Learning Experience In Collaborative Theater Programming, Hannah Huff, Karen Whisenhunt Saar
“Beautiful Chaos”: Clinicians’ Learning Experience In Collaborative Theater Programming, Hannah Huff, Karen Whisenhunt Saar
Teaching and Learning in Communication Sciences & Disorders
This study provides insights into speech-language pathology graduate student learning experiences during a community-based clinical rotation that targets skill development within an interdisciplinary theater program. Theater-based programming has shown some utility toward promoting pragmatic language skill development for children and teens outside of traditional clinical practice. In addition, the interdisciplinary nature of the program provides opportunities for student clinicians to engage in interprofessional collaboration with arts professionals.
The purpose of this study was to explore SLP graduate students’ experiences within a collaborative inclusion theater program. Semi-structured interviews collected from three graduate student clinicians were transcribed and analyzed according to Interpretive …
Developing Problems With Strengths In Mind: Problem-Based Learning In Introductory Csd Courses, Laura E. Arrington, Stefanie Becerril, Leilani Iem, Charlotte Clark
Developing Problems With Strengths In Mind: Problem-Based Learning In Introductory Csd Courses, Laura E. Arrington, Stefanie Becerril, Leilani Iem, Charlotte Clark
Teaching and Learning in Communication Sciences & Disorders
Instructors in Communication Sciences and Disorders (CSD) have used problem-based learning (PBL) for a variety of purposes across academic levels. Problem-based learning offers a framework for considering and including student strengths. In this paper, the authors describe the development of a PBL with specific utility to an introductory CSD course, explain how student strengths were considered in the problem development, and provide evidence of student strengths in outcomes of the PBL. This investigation followed 70 undergraduate students registered in introductory CSD courses across two universities as they engaged in a semester long PBL. A thematic analysis of 217 student solutions …
Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu
Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu
Faculty, Staff and Student Publications
OBJECTIVES: The rapid expansion of biomedical literature necessitates automated techniques to discern relationships between biomedical concepts from extensive free text. Such techniques facilitate the development of detailed knowledge bases and highlight research deficiencies. The LitCoin Natural Language Processing (NLP) challenge, organized by the National Center for Advancing Translational Science, aims to evaluate such potential and provides a manually annotated corpus for methodology development and benchmarking.
MATERIALS AND METHODS: For the named entity recognition (NER) task, we utilized ensemble learning to merge predictions from three domain-specific models, namely BioBERT, PubMedBERT, and BioM-ELECTRA, devised a rule-driven detection method for cell line and …
Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu
Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu
Faculty, Staff and Student Publications
IMPORTANCE: The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data and extracting meaningful information with minimal training data. By developing and refining prompt-based strategies, we can significantly enhance the models' performance, making them viable tools for clinical NER tasks and possibly reducing the reliance on extensive annotated datasets.
OBJECTIVES: This study quantifies the capabilities of GPT-3.5 and GPT-4 for clinical named entity recognition (NER) tasks and proposes task-specific prompts to improve their performance.
MATERIALS AND METHODS: We evaluated these models on 2 clinical NER tasks: (1) to extract medical problems, treatments, …
Lcd 106: Introduction To Communication Sciences And Disorders, Yael Neumann
Lcd 106: Introduction To Communication Sciences And Disorders, Yael Neumann
Open Educational Resources
This course will provide an introduction to the development and disorders of speech, language, and communication in children and adults. Disorders such as autism, aphasia, stuttering, and learning disabilities will be discussed. Differences noted in culturally and linguistically diverse communities will also be addressed. The course activities will give students an experiential appreciation of the experience of communication challenges and supporting people with those challenges. Information about the professions of Speech-Language Pathology (SLP), Audiology, and Speech and Hearing Science will be reviewed as potential career paths.
Artificial Intelligence In Orthopaedic Education: A Comparative Analysis Of Chatgpt And Bing Ai’S Orthopaedic In-Training Examination Performance, Clark Chen, Vivek Biololikar, Duncan Vannest, James Raphael, Gene Shaffer
Artificial Intelligence In Orthopaedic Education: A Comparative Analysis Of Chatgpt And Bing Ai’S Orthopaedic In-Training Examination Performance, Clark Chen, Vivek Biololikar, Duncan Vannest, James Raphael, Gene Shaffer
Einstein Health Papers
Background: This study evaluated the performance of generative artificial intelligence (AI) models on the Orthopaedic In-Training Examination (OITE), an annual exam administered to U.S. orthopaedic residency programs. Methods: ChatGPT 3.5 and Bing AI GPT 4.0 were evaluated on standardised sets of multiple-choice questions drawn from the American Academy of Orthopaedic Surgeons OITE online question bank spanning 5 years (2018–2022). A total of 1165 questions were posed to each AI system. The performance of both systems was standardised using the latest versions of ChatGPT 3.5 and Bing AI GPT 4.0. Historical data of resident scores taken from the annual OITE technical …
Generative Large Language Models Are All-Purpose Text Analytics Engines: Text-To-Text Learning Is All Your Need, Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
Generative Large Language Models Are All-Purpose Text Analytics Engines: Text-To-Text Learning Is All Your Need, Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
Faculty, Staff and Student Publications
Objective: To solve major clinical natural language processing (NLP) tasks using a unified text-to-text learning architecture based on a generative large language model (LLM) via prompt tuning.
Methods: We formulated 7 key clinical NLP tasks as text-to-text learning and solved them using one unified generative clinical LLM, GatorTronGPT, developed using GPT-3 architecture and trained with up to 20 billion parameters. We adopted soft prompts (ie, trainable vectors) with frozen LLM, where the LLM parameters were not updated (ie, frozen) and only the vectors of soft prompts were updated, known as prompt tuning. We added additional soft prompts as a prefix …
Large Language Models For Biomedicine: Foundations, Opportunities, Challenges, And Best Practices, Satya S Sahoo, Joseph M Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre, Yanshan Wang
Large Language Models For Biomedicine: Foundations, Opportunities, Challenges, And Best Practices, Satya S Sahoo, Joseph M Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre, Yanshan Wang
Faculty, Staff and Student Publications
Objectives: Generative large language models (LLMs) are a subset of transformers-based neural network architecture models. LLMs have successfully leveraged a combination of an increased number of parameters, improvements in computational efficiency, and large pre-training datasets to perform a wide spectrum of natural language processing (NLP) tasks. Using a few examples (few-shot) or no examples (zero-shot) for prompt-tuning has enabled LLMs to achieve state-of-the-art performance in a broad range of NLP applications. This article by the American Medical Informatics Association (AMIA) NLP Working Group characterizes the opportunities, challenges, and best practices for our community to leverage and advance the integration of …
“Education Would Be Step Number One”: Community Mental Health Clinicians’ Training And Support Needs To Treat Anxiety In Autistic Youth, Shannon C Lapoint, Grace Lee Simmons, Julia Heinly, Daylin Delgado, Whitney S Shepherd, Lauren Brookman-Frazee, Eric A Storch, Brenna B Maddox
“Education Would Be Step Number One”: Community Mental Health Clinicians’ Training And Support Needs To Treat Anxiety In Autistic Youth, Shannon C Lapoint, Grace Lee Simmons, Julia Heinly, Daylin Delgado, Whitney S Shepherd, Lauren Brookman-Frazee, Eric A Storch, Brenna B Maddox
Faculty, Staff and Students Publications
Background: Autistic youth experience high rates of anxiety, which has been treated with modified cognitive-behavioral therapy (CBT), often integrating exposure therapy. Such anxiety treatments are effective for this population; however, there remains a gap between these evidence-based mental health interventions and their implementation in community mental health (CMH) services where autistic youth receive care.
Method: This qualitative study conducted semi-structured interviews with four types of community members in the United States: 15 autistic youth with anxiety, 15 caregivers of autistic youth with anxiety, 11 CMH clinicians, and 8 CMH clinic leaders. Participants identified the training needs of CMH clinicians to …
Annual Adherence Of Asian American Individuals In A Lung Cancer Screening Program Compared With Other Racial Groups, Benjamin Tasevac, Christine S. Shusted, Brooke Ruane, Emily Muse, Olugbenga Okusanya, Tyler Grenda, Nathaniel R. Evans, Gregory C. Kane, Kuang-Yi Wen, Hee-Soon Juon, Julie Barta
Annual Adherence Of Asian American Individuals In A Lung Cancer Screening Program Compared With Other Racial Groups, Benjamin Tasevac, Christine S. Shusted, Brooke Ruane, Emily Muse, Olugbenga Okusanya, Tyler Grenda, Nathaniel R. Evans, Gregory C. Kane, Kuang-Yi Wen, Hee-Soon Juon, Julie Barta
Department of Medicine Faculty Papers
Racial differences in lung cancer screening (LCS) eligibility and outcomes persist despite recent expansion of the US Preventive Services Task Force criteria and greater recognition of screening disparities. Research Question: What is the annual screening adherence rate for US Preventive Services Task Force-eligible Asian American individuals receiving LCS through a centralized screening program? Study Design and Methods: Individuals screened through a centralized LCS program were identified retrospectively using the Jefferson LCS Program Registry. Sociodemographic and clinical data were extracted from the prospectively maintained registry. Frequency statistics were compared by race including among Asian American subgroups, and multivariate logistic regression was …
Self-Perceived Cognitive Functioning In Motoric Cognitive Risk Syndrome: Enhancing Risk Detection In Health Disparity Older Adults, Caroline O. Nester
Self-Perceived Cognitive Functioning In Motoric Cognitive Risk Syndrome: Enhancing Risk Detection In Health Disparity Older Adults, Caroline O. Nester
Dissertations, Theses, and Capstone Projects
Motoric Cognitive Risk Syndrome (MCR) is a predementia condition that combines two clinical presentations associated with dementia: slow gait speed and subjective cognitive concerns (SCC). MCR diagnosis is associated with increased risk for dementia over its individual components of SCC or slow gait alone, making it a valuable marker of early neurodegenerative changes. MCR does not require expensive, time-consuming assessments to be diagnosed, broadening accessibility in remote or under-resourced settings. At present, there is no consistent method to assess SCC in MCR – a key diagnostic feature of the syndrome. The lack of understanding about SCC in MCR may limit …
Reclaiming Healing Spaces: A Phenomenological Study On The Transformative Power Of Outdoor Therapy From The Lived Experiences Of Black Clinicians Working With Black Clients, Lynn Murphy
Dissertations
This phenomenological study involved assessing the experiences of Black therapists who engaged Black clients in outdoor therapeutic contexts. The study was founded on the existing literature that shows the quality of the therapeutic relationship is pivotal for client retention and the Western standards that have historically favored treatment within indoor environments. To contextualize this research, a comprehensive literature review was commenced, covering topics such as the decolonization of therapy, the historical and present-day relationship between Blacks and the outdoors in the United States, sedentary lifestyles, the psychological benefits of time spent in nature, various types of outdoor therapy, and the …
Correlation Between Chemotherapy-Induced Nausea And Vomiting With Quality Of Life In Patients With Ovarian Cancer At Dr. Cipto Mangunkusumo Hospital, Veinardi Madjid, David Calvin, Gatot Purwoto, Tofan Widya Utami, Tricia Dewi Anggraeni, Dhanasari Vidiawati, Hariyono Winarto
Correlation Between Chemotherapy-Induced Nausea And Vomiting With Quality Of Life In Patients With Ovarian Cancer At Dr. Cipto Mangunkusumo Hospital, Veinardi Madjid, David Calvin, Gatot Purwoto, Tofan Widya Utami, Tricia Dewi Anggraeni, Dhanasari Vidiawati, Hariyono Winarto
Makara Journal of Health Research
Introduction: Nausea and vomiting (NV) remain as side effects of chemotherapy, which has a detrimental effect on patients’ quality of life (QOL) and treatment adherence. This study aimed to determine the effect of chemotherapy-induced NV (CINV) on the QOL of patients with ovarian cancer treated with chemotherapy at Dr. Cipto Mangunkusumo Hospital (CMH).
Methods: We conducted a cross-sectional study in patients with ovarian cancer receiving first-line chemotherapy regimens of carboplatin and paclitaxel. The European Organisation for Research and Treatment helped translate the Quality-of-Life Questionnaire-OV28 (QLQ-OV28) into Indonesian and tested it in a preliminary study. The approved Indonesian version …
Boosting Teacher Work Engagement: The Role Of Self-Efficacy, Resilience, And Personality Traits, Ajar Dirgantoro, Nur Eva, Fattah Hanurrawan, Imanuel Hitipeuw
Boosting Teacher Work Engagement: The Role Of Self-Efficacy, Resilience, And Personality Traits, Ajar Dirgantoro, Nur Eva, Fattah Hanurrawan, Imanuel Hitipeuw
Jurnal Kajian Bimbingan dan Konseling
The role of a teacher in the world of education greatly affects how the quality of students with the expected changes cannot be separated from the responsibility of a teacher in educating, guiding, motivating and being a facilitator for these students. However, low work involvement by teachers is not able to achieve organizational or school success in producing quality successors. The intended work engagement is a series of results from the teacher's self-efficacy and resilience towards himself and work tasks. This study aims to empirically examine the effect of self-efficacy and resilience on teacher work engagement with personality traits as …
Speech-Language Pathologists’ Perceptions Of A Clinical Doctorate In Speech-Language Pathology: A Phenomenological Study, Dawn Mckee
Doctoral Dissertations and Projects
The purpose of this phenomenological study was to explore the perspectives of speech-language pathologists regarding a clinical doctorate as a potential entry-level degree for practicing speech-language pathologists. The central research question sought to determine the overall attitudes of speech-language pathologists about a clinical doctorate. The theories guiding this study were social constructionism and experiential learning theory, as this study attempted to construct the perceived reality of practicing speech-language pathologists regarding clinical doctorates and involved their educational and work experiences. The methodology utilized was transcendental phenomenology and included three data collection approaches: interviews, letter-writing, and focus groups. The data were analyzed …
Rural Cervical Cancer Survivors’ Experiences Of Gender Roles: An Application Of Social Constructionism, Olivia K. Pointer
Rural Cervical Cancer Survivors’ Experiences Of Gender Roles: An Application Of Social Constructionism, Olivia K. Pointer
Electronic Theses and Dissertations
Rural cervical cancer survivors, or individuals with a form of cancer that originated in the cervix of the reproductive system, may be uniquely impacted by socially constructed gender roles. The present study utilized the term “females” to describe those who self-identify as having a cervix, which may include cisgender, transgender, intersex, and non-binary gender identities. Rural females have been indicated to hold salience in traditional gender expectations as partners, mothers, community members, and more, which may add survivorship complexity for cervical cancer survivors within this population by to attempting to fulfill gender roles to the pre-cancer level. Moreover, rural cervical …
Developing A Comprehensive Cognitive Model Of Math Achievement, Nina Anderson
Developing A Comprehensive Cognitive Model Of Math Achievement, Nina Anderson
Electronic Theses and Dissertations
Recently, downward trends have been reported in U.S. children’s math performance following school disruptions during COVID-19 amidst longstanding concerns for instruction and curricula within the subject. In support of efforts to remedy these declines, the current work presents two studies dedicated to identifying cognitive factors that are most strongly related to math performance, and which therefore offer promising potential targets for assessment and intervention. Both studies use data from the Colorado Learning Disabilities Research Center, which includes participants ages 8 - 16 and multiple well-validated measures of all constructs of interest. Study 1 tests three alternative latent cognitive models of …
Long-Range White Matter Fibres And Post-Stroke Verbal And Non-Verbal Cognition, Rebecca W. Roth, Deena Schwen Blackett, Ezequiel Gleichgerrcht, Janina Wilmskoetter, Chris Rorden, Roger Newman-Norlund, Souvik Sen, Julius Fridriksson Ph.D., Natalie Busby, Leonardo Bonilha
Long-Range White Matter Fibres And Post-Stroke Verbal And Non-Verbal Cognition, Rebecca W. Roth, Deena Schwen Blackett, Ezequiel Gleichgerrcht, Janina Wilmskoetter, Chris Rorden, Roger Newman-Norlund, Souvik Sen, Julius Fridriksson Ph.D., Natalie Busby, Leonardo Bonilha
Faculty Publications
Among stroke survivors, linguistic and non-linguistic impairments exhibit substantial inter-individual variability. Stroke lesion volume and location do not sufficiently explain outcomes, and the neural mechanisms underlying the severity of aphasia or non-verbal cognitive deficits remain inadequately understood. Converging evidence supports the idea that white matter is particularly susceptible to ischaemic injury, and long-range fibres are commonly associated with verbal and non-verbal function. Here, we investigated the relationship among post-stroke aphasia severity, cognition, and white matter integrity. Eighty-seven individuals in the chronic stage of stroke underwent diffusion MRI and behavioural testing, including language and cognitive measures. We used whole-brain structural connectomes …
Equity-Informed Social Media Covid-19 Risk Communication Strategies: A Scoping Review, Nedra Peter, Lorie Donelle Phd, Rn, Fcan, Catherine George, Anita Kothari
Equity-Informed Social Media Covid-19 Risk Communication Strategies: A Scoping Review, Nedra Peter, Lorie Donelle Phd, Rn, Fcan, Catherine George, Anita Kothari
Publications
OBJECTIVES: The COVID-19 pandemic has had devastating worldwide impact but most prominent was its effect on marginalised, underserved and equity-deserving populations. Social media arose as an important platform from which health organisations could rapidly disseminate information to equity-deserving populations about COVID-19 risks and events, provide instructions on how to mitigate those risks, motivate compliance with health directives, address false information, provide the opportunity for engagement and immediate feedback. The objective of this scoping review was to synthesise the academic and grey literature on equity-informed social media risk communication strategies developed during the pandemic. DESIGN: The review followed the Arksey and …
Maternal Mortality In American Indian And Alaska Native Women: It Is Time To Prevent The Preventable, Brynn Cusack
Maternal Mortality In American Indian And Alaska Native Women: It Is Time To Prevent The Preventable, Brynn Cusack
Theses and Graduate Projects
Background: A concerning disparity exists between maternal mortality rates of American Indian and Alaska Native (AIAN) women and White women. Contributing factors include historical trauma, systemic inequities, inadequate funding, and deprioritization of the health of AIAN people.
Purpose: This literature review aims to address the research question: “Why were American Indian and Alaska Native women two times more likely to die of pregnancy-related causes than White women in the US during the period of 2017 through 2019?” The review explores historical context, current evidence, potential causes and interventions that can address AIAN maternal mortality.
Methods: A comprehensive literature review was …
Coaching In Context Fidelity Measure: A Linguistic Validation To Hispano-America Spanish, Jorge L. Torres-Vélez, Otd, Otr/L
Coaching In Context Fidelity Measure: A Linguistic Validation To Hispano-America Spanish, Jorge L. Torres-Vélez, Otd, Otr/L
Post-Professional Occupational Therapy Doctorate Culminating Presentations
Introduction
Coaching in Context (CinC) is an emerging intervention approach used by occupational therapy practitioners (OTPs). A growing body of literature has found CinC to be effective when used by OTPs with various clients. The CinC approach was manualized by publishing a visual representation of the model and developing a fidelity measure. Both were written in English by North American English-speaking researchers. Recently, the CinC Fidelity Measure was translated into Spanish to be used by Spanish-speaking OTPs but there was a need to conduct a linguistic validation to avoid difficulties in implementation, due to poor comprehension, and avoid inaccurate, misinterpreted, …
Implementing Policy To Increase Health Literacy In Falls Prevention: A Teach-Back And Show-Back Intervention, Yalanda M. Barner, Lollie Vaughan-Robinson, Jazmin Adjei
Implementing Policy To Increase Health Literacy In Falls Prevention: A Teach-Back And Show-Back Intervention, Yalanda M. Barner, Lollie Vaughan-Robinson, Jazmin Adjei
Journal of Public Health in the Deep South
Background: Although falls are preventable, falls among older adults remain a public health concern. Research indicates that over one-third of persons over 65 fall. Approximately 3 million report to emergency rooms due to falls annually. Falls are attributed to health conditions such as cognitive impairment, poor eyesight, arthritis, and polypharmacy.
Purpose: This study adapted the Teach-Back/Show-Back method for older persons in adult daycare and faith-based settings to assess their understanding of falls prevention techniques. Therefore, the purpose of this study was to examine the risk factors, prevention strategies, and policy recommendations of falls prevention among older adults.
Methods: A survey …
Optimizing Care Delivery: Determining The Impact Of A Mobile Interpreter App On Patient Satisfaction, Leslie M. Bright
Optimizing Care Delivery: Determining The Impact Of A Mobile Interpreter App On Patient Satisfaction, Leslie M. Bright
Doctoral Dissertations and Projects
Introduction: Patients with limited English proficiency (LEP) experience increased health disparities including poorer health outcomes, lack of access to quality healthcare services, and decreased patient satisfaction related to cultural and language barriers.
Purpose/Significance: The purpose of this project was to determine the impact of a technology-based mobile app used for medical interpreter services on patient satisfaction in patients with LEP during urgent care visits.
Methods: The project design consisted of a mobile interpreter app used for medical translation services during urgent care visits. Pretest and posttest patient satisfaction questionnaires were administered before and after the mobile app use to determine …
Accompanying People Affected By Cancer In Their Return To Life After Treatment: A Report On An Experiment Conducted In Canada, Christine Arsenault, Saskia Hazout, John Calogerinis, Françoise Poirier, Louise Normandin, Cécile Vialaron, Monica Iliescu Nelea, Marie-Pascale Pomey
Accompanying People Affected By Cancer In Their Return To Life After Treatment: A Report On An Experiment Conducted In Canada, Christine Arsenault, Saskia Hazout, John Calogerinis, Françoise Poirier, Louise Normandin, Cécile Vialaron, Monica Iliescu Nelea, Marie-Pascale Pomey
Patient Experience Journal
This study aims to assess family doctors' perceived needs for improved patient follow-up post-acute treatment in oncology departments, specifically focusing on the Patient Oriented Discharge Summary (PODS) for individuals living with cancer. A cross-sectional quantitative survey targeted family doctors, and a before/after exploratory study was conducted with patients to measure their needs pre- and post-PODS implementation. Twenty-one out of 42 family doctors participated in the survey (50%). Patient data was collected at three points in time: prior to PODS implementation (T1, n = 20/30; 77%), one month later (T2, n = 20/26; 77%), and six months later (T3, n = …
Ob Deserts Remain Public Health Concern For New Mexico, Dustin Roberto
Ob Deserts Remain Public Health Concern For New Mexico, Dustin Roberto
HSC Newsroom
As of 2022, one in three New Mexico counties were "OB deserts," places where pregnancy and childbirth care is limited. Distance, hospital closures, and staff shortages make care especially hard to reach for rural, low-income, and Indigenous communities. To help, the University of New Mexico offers a minor and certificate in maternal and child health leadership.
Enhancing Clinical Relevance Of Pretrained Language Models Through Integration Of External Knowledge: Case Study On Cardiovascular Diagnosis From Electronic Health Records, Qiuhao Lu, Andrew Wen, Thien Nguyen, Hongfang Liu
Enhancing Clinical Relevance Of Pretrained Language Models Through Integration Of External Knowledge: Case Study On Cardiovascular Diagnosis From Electronic Health Records, Qiuhao Lu, Andrew Wen, Thien Nguyen, Hongfang Liu
Faculty, Staff and Student Publications
Background: Despite their growing use in health care, pretrained language models (PLMs) often lack clinical relevance due to insufficient domain expertise and poor interpretability. A key strategy to overcome these challenges is integrating external knowledge into PLMs, enhancing their adaptability and clinical usefulness. Current biomedical knowledge graphs like UMLS (Unified Medical Language System), SNOMED CT (Systematized Medical Nomenclature for Medicine-Clinical Terminology), and HPO (Human Phenotype Ontology), while comprehensive, fail to effectively connect general biomedical knowledge with physician insights. There is an equally important need for a model that integrates diverse knowledge in a way that is both unified and compartmentalized. …
Increasing Breast Cancer Screening Rates Among Women Ages 40 To 74 In An Urban Safety Net Primary Care Clinic: A Quality Improvement Project, Wilder Pinnock
Increasing Breast Cancer Screening Rates Among Women Ages 40 To 74 In An Urban Safety Net Primary Care Clinic: A Quality Improvement Project, Wilder Pinnock
Doctor of Nursing Practice Scholarly Projects
Background and Problem Description: Breast cancer continues to be the most common and second most lethal form of cancer among women in the U.S. Although there have been improvements in breast cancer screening in the US, major disparities persist. The national breast cancer screening rate for the year 2021 was 75.6%; the rate for the underserved and minority population was 54%. This QI project took place at a Federally Qualified Health Center that provides medical care to medically underserved and vulnerable populations.
Purpose and Aim: This project aimed to increase breast cancer screening at the proposed site to optimize early …
Staff Perspectives Of Deaf And Hard Of Hearing College Students’ Alcohol Use, Christine L. Gannon, Theresa H. Gibble, Retta Evans
Staff Perspectives Of Deaf And Hard Of Hearing College Students’ Alcohol Use, Christine L. Gannon, Theresa H. Gibble, Retta Evans
Journal of Social, Behavioral, and Health Sciences
A predominant health issue at colleges and universities is alcohol use. This is also true for deaf and hard of hearing college students. Key stakeholders who observe and witness this alcohol dynamic are staff. Researchers used a semi-structured qualitative guide to interview Gallaudet University staff (N = 26) to learn about their perspectives on and experiences with student alcohol use. Through thematic analysis, they identified several dominant themes that were then grouped into the three levels of the social-ecological model. First, they identified intrapersonal factors, including fear of missing out and coping strategies. Second, they identified interpersonal factors such …
It Was Difficult To Understand The System: Developing A Coordinator Role To Support International Nursing Students- A Qualitative Study, Nick Gibson, Amanda Graf, Tania Beament, Neil Ferguson, Esther Adama, Deborah Kirk, Joyce Muge-Sugutt, Kylie Mccullough
It Was Difficult To Understand The System: Developing A Coordinator Role To Support International Nursing Students- A Qualitative Study, Nick Gibson, Amanda Graf, Tania Beament, Neil Ferguson, Esther Adama, Deborah Kirk, Joyce Muge-Sugutt, Kylie Mccullough
Research outputs 2022 to 2026
International students are an important component of the host country and universities bringing economic, social, and community contributions. International students are the most vulnerable students with challenges related to academic expectations, language proficiency, and socio-cultural integration. This study explores the challenges of international students in a Western Australian School of Nursing and Midwifery. An exploratory questionnaire (n=10), three focus groups (n=15) and a quality improvement survey (n=80) informed this study. Four themes emerged: stress in the first weeks, incorrect and/or late enrolments, lack of guidance and support, and system navigation nightmares. Other issues included: accommodation, culture shock, financial concerns, information …
The Effect Of Phonomotor Treatment In A Telepractice Model: An Experimental Study, Jessica Mulch
The Effect Of Phonomotor Treatment In A Telepractice Model: An Experimental Study, Jessica Mulch
Masters Theses & Specialist Projects
This study provides an investigation into the effectiveness of a modified version of Phonomotor Treatment (PMT) for treating apraxia of speech (AOS) in a telepractice model. A single-subject design was utilized to provide treatment to a participant with post-stroke apraxia of speech and aphasia. Treatment occurred two hours a day, five days a week, for four weeks. Targets were selected specifically for the participant after initial probing and testing. Data was taken to measure the chosen targets for acquisition, maintenance, and generalization. The data collected includes pre-treatment (before starting treatment), post-treatment (directly after treatment), and follow-up (10 weeks after the …