Digital Commons Network^™

Optimizing Clutch Performance In Euroleague Basketball: A Data-Driven Analysis Of Late-Game Decision-Making, Panagiotis F. Foteinakis, Stefania P. Pavlidou, Athanasios Chatzinikolaou, Nikolaos Stavropoulos, Maria Michalopoulou

Baltic Journal of Health and Physical Activity

Background: Decision-making during late-game possessions in basketball is considered one of the most essential aspects of winning a game. This study examined key determinants of late-game shot-making success in closely contested EuroLeague basketball matches, aiming to optimize offensive decision-making in clutch situations. Material and Methods: An observational analysis from the last two minutes of 83 EuroLeague games recorded 471 clutch shot attempts. Logistic regression and chi-square analyses assessed the impact of offense time, shot range, defensive pressure, game status, and offensive tactical strategies on shot success. Results: The results showed that paint clutch shots (63.9% success) were significantly more effective …

Health Effects Of Cadmium And Manganese Exposure On Luteinizing Hormone Levels: A Pilot Study Of Female Infertility, Shatha F. Alhous, Anees A. Al-Hamzawi, Murtadha Sh. Aswood

Al-Bahir

Female infertility occurs for many reasons, some unknown. Exposure to heavy metals is a risk factor that negatively impacts on female reproductive system. Therefore, this study aimed to evaluate the effect of cadmium Cd and manganese Mn on luteinizing hormone LH levels for females’ infertility. This study included a healthy group (n = 20), primary infertile females (n = 40), and secondary infertile females (n = 20) collected from Al-Zahraa hospital in Najaf center, Iraq. The Atomic Absorption Spectroscopy (AAS) was used to measure the cadmium and manganese concentrations and LH levels were measured by a Maglumi 800 from Snibe …

Chatgpt Versus Uptodate In Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency-Inverse Document Frequency Cosine Similarity, Shankar S. Thiru, Nicholas E. Aksu, Matthew Chiang, Daniel O. Gallagher, Mary Furlong, Elizabeth R. Prevou, Akhil Jay Khanna

Rothman Institute Papers

BACKGROUND: Generative artificial intelligence tools such as ChatGPT are increasingly used by medical students for self-directed learning. Although these models demonstrate linguistic fluency, their reliability as supplementary resources for preclinical education remains uncertain. In particular, comparisons with evidence-based references such as UpToDate are lacking.

OBJECTIVE: This study evaluated the similarity between responses generated by ChatGPT (with GPT-4o mini) and those from UpToDate to preclinical medical education questions to assess ChatGPT's potential as an adjunctive learning tool.

METHODS: We conducted a cross-sectional comparison study using 150 first-order questions derived from a preclinical question bank at a single allopathic institution under the …

Documenting For Success: A Case Study Of A Graduate Writing Retreat, Elliott Rose, Denise Wetzel, Sara C. Kern, Katie O'Hara-Krebs, Laurin Davis, Salah Seoudi, Carmen Cole

Transforming Libraries for Graduate Students

Graduate students often find themselves balancing the demands of research and writing while managing complex academic and personal needs. Writing retreats provide an intentional space for graduate students to focus on their academic goals while supporting community-building, institutional belonging, and a welcoming environment. This proposal outlines a model for academic librarians and staff to plan and implement an effective graduate writing retreat designed to support graduate student academic activities through intentional collaboration and documentation.

Penn State University’s (PSU) Graduate Student Writing Retreat started as an event housed within the University Library’s Science, Technology, Engineering, and Math (STEM) department. The retreat …

Thermal Inequities In Public Parks And Open Spaces In Los Angeles Determined By Remote Sensing, Ashley Agatep, Joshua B. Fisher, Kainani Tacazon, Ambar Rivera, Rossmery Zayas, Reginald Archer, Juan Carlos Ruiz Malagon, Jason A. Douglas

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Urban heat island (UHI) effects are amplified by disparities in community-level cooling infrastructure—such as urban public parks and open spaces (PPOS)—with the most severe impacts occurring in communities that lack sufficient city-wide cooling resources. We found that the underserved community of South Los Angeles, as compared to their neighboring West Los Angeles counterparts, suffers a double burden of inequitable (1) access to and (2) absence of cooling materials and surfaces within these spaces, resulting in significantly hotter temperatures. Identifying these inequities requires high-resolution temporal and spatial mapping of surface temperatures, which has been previously limited. In this community-based participatory research …

The Agreement Between Pulse Oximetry And Measured Arterial Oxygen Saturations In Postoperative Functionally Univentricular Patients, Fabio Savorgnan, Sebastian Acosta, Joshua Prabhu, Pranathi Pilla, Vikram Shah, Saul Flores, Rohit S Loomba

Faculty, Staff and Students Publications

Background: Pulse oximetry is widely used to estimate arterial oxygen saturation, yet accuracy may vary for a number of reasons. Data on children with functionally univentricular circulation are limited. The primary aim of this study was to evaluate the agreement between arterial oxygen saturation measured by blood gas and pulse oximetry in children with functionally univentricular circulations. Methods: A retrospective analysis was performed of paired arterial blood gas and pulse oximetry oxygen saturation measurements following Norwood, Glenn, or Fontan procedures. Signed difference was defined as arterial oxygen saturation by blood gas-arterial oxygen saturation by pulse oximetry. Bland-Altman analyses, …

Remote Language Assessment In School-Age Children With Phelan–Mcdermid Syndrome And Genotype–Phenotype Correlation, Sarah Quadri-Valverde, Jessica Klusek Ph.D., Ccc-Slp, Linda D. Ward, Diana Ivankovic, Nancy Powers, Vijay Shankar, Rachel A. Lyman, Trudy F.C. Mackay, William Bridges, Katy Phelan, Chris Rogers, Luigi Boccuto, Sara M. Sarasua

Faculty Publications

People with Phelan–McDermid syndrome (PMS) have reduced speech and language abilities, yet little research has profiled the communication abilities in this population. The purpose of this study was threefold: identifying the language and communication profiles of school-aged children with PMS, identifying genetic contributions to language and communication abilities, and determining the feasibility of remote data collection for research purposes. A speech language pathologist used standardized assessments and direct evaluations by video conferencing to evaluate language and communication abilities. Sixteen children and adolescents were evaluated: 5 with SHANK3 pathogenic variants, 9 with 22q13 deletions including SHANK3 (PMS-SHANK3 related), and 2 …

Assessing Misidentification Potential When Using Percent Developmental Delay As An Early Intervention Eligibility Criterion, Allison Gladfelter, Sarah Thomas, Christine Nguyen, Sarah O'Connor

CISLL Publications

Purpose:

Method:

Evolving Solutions For Red Blood Cell Preservation, Ali Alkafaji, Charles A. Elder, Mohammad Zaidi, Kavin Parthiv, Michael A. Menze

The Cardinal Edge

In emergencies such as natural disasters, armed conflicts, or during outer space missions, the availability of transfusable blood can mean the difference between life and death. Red blood cells (RBCs) must be stored at +4 ± 2 °C and have a shelf life of just 42 days, which makes maintaining a stable blood supply during adverse conditions extraordinarily challenging. This challenge was especially apparent during the COVID-19 pandemic when hospitals faced severe blood shortages. Freeze-drying, or lyophilization, offers a promising avenue to extend the shelf life of RBCs for transfusion during crises. However, a significant hurdle in dry preservation is …

Mediation Analysis Investigating The Mechanisms Of Two School-Based Smoking Prevention Interventions In Adolescents From Northern Ireland And Bogotá, Jennifer M. Murray, Sharon C. Sánchez-Franco, Olga L. Sarmiento, Erik O. Kimbrough, Christopher Tate, Shannon C. Montgomery, Rajnish Kumar, Laura Dunne, Allen Thurston, Aideen Gildea, Abhijit Ramalingam, Erin L. Krupka, Felipe Montes, Huiyu Zhou, Laurence Moore, Linda Bauld, Blanca Llorente, Frank Kee, Ruth F. Hunter

Economics Faculty Articles and Research

Background:

Reviews have highlighted a lack of evidence on how successful intervention strategies for adolescent smoking prevention can be effectively adapted for low-middle income countries (LMICs). The MECHANISMS study compared behavioral mechanisms between two school-based smoking prevention programs for adolescents in Northern Ireland (NI; a high-income setting) and Bogotá, Colombia (middle-income). ASSIST works via peer education and diffusion. Dead Cool uses conventional classroom pedagogy. Both interventions were previously trialed in the UK and were culturally adapted for Bogotá. We investigated whether changes in smoking/vaping outcomes differed by intervention or setting. Mediation analyses were conducted to test the hypothesized intervention mechanisms. …

An Exploration Into Network Analyses Of Motor Behavior, Brain-Computer Interface Control, Arousal States, And An Ischemic Lesion Model, Shashank Anand

McKelvey School of Engineering Graduate Student Theses & Dissertations

Network-level modelling of neural function incorporates activity in specific brain regions along with a measure of the interactions between these regions (“connectivity”). Connectivity can be assessed through several means, for example through tractography (structural connectivity) or correlated temporal evolution of neural activity (functional connectivity). These analyses have provided valuable insight into several aspects of brain function, such as top-down control, memory, and navigation. This work focuses on studying neural activity within and between several brain regions across different brain states: namely, during motor actions, sensory perception, brain-computer interface engagement, task-free fluctuations in arousal state, and ischemic injury. High gamma (70-170 …

Nonlinear Bivariate Associations And Mononuclear Cell‐Type‐Specific Expression Level Differences In The Sting Signalling Pathway, David Kaplan

Faculty Scholarship

Understanding intracellular signalling pathways is crucial since they regulate essential functional activities. Bivariate relationships have been useful in delineating these pathways in clinical samples. In our previous studies, we have found many linear associations between pathway components, and we have interpreted these correlations as rheostatic regulators. Increases in an upstream component are correlated with a commensurate downstream increase. Here, we report a quantitative analysis of molecules in the STING pathway by assessing the variance in human peripheral blood mononuclear cell-type-specific molecular expression from patients with atherosclerotic coronary artery disease. The induction of the type I interferon track by this pathway …

Decision-Making At The Edges Of Capacity: Brain Science And Caregiving, Dr. Julie Yonker

University Faculty Publications and Creative Works

Keynote address at the Disabilities Resources Symposium at City Hope Church in Grand Rapids on 3/14/2026. Attached is her powerpoint.

• Describe why our brains don’t like decisions
• Understand the impact of different types of decisions
• Value suggestions for more sustained decision making
• Consider a faith perspective

Associational Inference With Many Potential Covariates: Bayesian Information Criterion Elastic Net, Farideh Bagherzadeh Khiabani, I-Chan Huang, Jose Miguel Martinez Martinez, Shizue Izumi, Sedigheh Mirzaei, Tiange Zheng, Irina Dinu, Yutaka Yasui

COBRA Preprint Series

Background: An emerging feature in modern biomedical research is collecting and analyzing numerous variables. In the presence of many potential covariates, inference becomes challenging requiring both distinguishing a set of covariates truly associated with an outcome and estimating their corresponding regression coefficients consistently. Traditional statistical inference typically focuses on estimating coefficients assuming a pre-specified set of covariates. Further, advanced machine/statistical learning methods performing both selection and estimation predominantly focus on outcome prediction rather than association inference.

Methods: Motivated by our epidemiological research on long-term childhood cancer survivors, where we aimed to investigate associations between a large pool of longitudinal symptom …

Multi-Dimensional Research Appraisal: A Holistic Approach To Evidence-Informed Practice, John Damiao

Translational Science in Occupation

The field of occupational therapy (OT) and healthcare in general have made great strides in enhancing their scientific rigor through study methodologies that prioritize internal validity. However, concerns regarding reproducibility and replicability in research have cast doubt on traditional evidence-based models. This paper critically examines the limitations of an over-reliance on internal validity in evidence reviews and advocates for a multi-dimensional approach to evidence-based practice. By integrating methodological holism, contextual analysis, and a critical appraisal of external validity, this approach provides practitioners with a more nuanced and applicable framework for decision-making. The implications for research credibility and clinical confidence are …

Defining A Multi-Omic, Ai-Enabled Stool Screening Paradigm For Colorectal Cancer: A Consensus Framework For Clinical Translation, Arturo Loaiza-Bonilla, Yan Leyfman, Viviana Cortiana, Rhys Crawford, Shivani Modi

Einstein Health Papers

Colorectal cancer (CRC) develops through both conventional adenoma-carcinoma and serrated neoplasia pathways, yet noninvasive screening still under-detects the advanced precursor lesions that enable true cancer prevention. Stool-based screening reduces CRC mortality, but its preventive impact remains constrained by limited detection of advanced precancerous lesions (APLs), including advanced adenomas and sessile serrated lesions. Next-generation multitarget stool DNA assays (mt-sDNA; e.g., Cologuard Plus) have established high sensitivity for CRC and specificity approaching 94%, leaving improved APL detection as the principal opportunity for innovation. This review presents a consensus framework for a multi-omic stool screening paradigm that integrates host epigenetic markers (DNA methylation) …

Ulk4 And Cdkn2a Polymorphisms Influence The Risk Of Developing Monoclonal Gammopathy Of Undetermined Significance, José Manuuel Sánchez-Maldonado, Angelica Macauda, Antonio José Cabrera-Serrano, Hauke Thomsen, Murat Güler, Rob Ter Horst, Bethany Van Guelpen, Pavel Vodicka, Stefano Landi, Subhayan Chattopadhyay, Pelin Ünal, Lucía Ruiz-Durán, Delphine Casabonne, Hartmut Goldschmidt, Istemi Serin, María Carretero-Fernández, Elena Cabezudo, Fernando Reyes-Zurita, Alyssa I. Clay-Gilmour, Et. Al.

Faculty Publications

Monoclonal gammopathy of undetermined significance (MGUS) is a necessary precursor condition to multiple myeloma (MM). Given the role of autophagy in modulating MM risk, we investigated whether genetic variation in autophagy-related genes influences susceptibility to MGUS. We analyzed the association of 34,042 common autophagy-related single nucleotide polymorphisms (SNPs) with MGUS across six independent cohorts, five from Europe and one from North America, comprising 2317 MGUS cases and 282,358 controls. We also assessed their impact on immune parameters, including absolute counts of 91 blood-derived immune cell subsets and 103 circulating immunological proteins. Meta-analysis revealed a genome-wide significant association between the ULK4 …

Impact Of Medicaid Enrollment Timing On Tumor Stage At Diagnosis And Survival In Breast, Colorectal, And Lung Cancer, Gabriel A. Benavidez, Stella Coker Watson Self Ph.D., Ms, Anthony Alberg Ph.D., M.P.H., Janice Probst, Jan Marie Eberth

Faculty Publications

Background: Medicaid-insured patients experience higher rates of late-stage cancer diagnosis and worse survival than non-Medicaid patients. The impact of Medicaid enrollment timing on cancer outcomes is less clear. This study examines the association between Medicaid enrollment and timing with tumor stage and cancer-specific survival for breast, colorectal, and lung cancers. Methods: We analyzed SEER-Medicaid linked data for 276,755 breast, 104,784 colorectal, and 101,058 lung cancer patients < 65 years of age. Patients were categorized as non-Medicaid enrollees, pre-diagnosis enrollees (≥12 months before), or post-diagnosis enrollees (≤12 months after). Multivariable logistic regression estimated odds ratios of late-stage diagnosis, and cause-specific Cox proportional hazards models were used to assess cancer-specific survival, adjusting for demographic and socioeconomic factors. Results: Compared to non-Medicaid enrollees, post-diagnosis enrollees had the highest odds of late-stage diagnosis (breast cancer: OR: 3.41; colorectal cancer: OR: 3.78; lung cancer: OR: 1.87). Pre-diagnosis enrollees also had increased odds, but the …

Ai-Powered Reporting For Improved Hospital Efficiency, Joel C. Laskow, Chris Papesh, Srishti Awasthi, Jacquelyn Cheun

SMU Data Science Review

This study explores the feasibility of an AI-powered chatbot for HIPAA-aligned intake of emergency room patients seeking treatment for overdose and violence. The system utilizes AWS Amplify, an encrypted EC2 instance, and a secure S3 Bucket house on Amazon Web Services. Chat functionality is powered by a multi-agentic framework operating on Anthropic’s Claude Sonnet 4. Manual evaluation and exact match testing reveal the system reliably obtains and records relevant information during intake. Future work will focus on expanding accessibility by integrating voice functionality, obtaining HIPAA compliance certifications, and incorporating the chat system into existing healthcare networks.

Bias Evaluation Of Healthcare Data With The Use Of Vbqa - A Vaers Inspired Bias Question Answer Dataset, Nolan Dulude, Renu Karthikeyan, Bivin Sadler, Faizan Javed

SMU Data Science Review

Abstract. Large Language Models (LLMs) are being used increasingly within the healthcare industry to summarize complex clinical information, but their outputs can often reflect biases inherited from their training data. In healthcare, these biases are not just technical flaws, but they can lead to distorted and false information about vaccine safety, compromise patient trust, and lead to potential harmful outcomes. This study investigates bias found in LLM-generated outputs to question-answer pairs inspired by adverse vaccine reactions using COVID-19 data from the Vaccine Adverse Event Reporting System (VAERS) from 2020–2024. We examined whether training the LLMs on a known Bias Benchmark …

Redesigning Online Graduate Orientation To Foster Academic Resilience And Prevent Underperformance, Stella Michael-Makri, David E. Rodriguez

Journal of Academic Underperformance

Graduate students in fully online programs often begin their academic journey without adequate preparation for the emotional, structural, and cultural challenges of graduate-level work. For students who are first-generation, racially marginalized, international, or returning to education after time away, this lack of scaffolding can lead to early disengagement, underperformance, or attrition. Orientation, often treated as a checklist of logistical tasks, represents a missed opportunity for meaningful academic intervention. This manuscript proposes a five-module conceptual model for online graduate orientation designed to proactively support online graduate students in the domains of emotional regulation and academic identity, time management and executive functioning, …

Cv: Amy Hemkendreis (Physical Therapy), Amy Hemkendreis

Rehabilitation Sciences Department Curricula Vitae

No abstract provided.

Rural–Urban Differences In Cognitive Outcomes Among Older Adults: The Roles Of Falls And Depressive Symptoms, Ayse Malatyali, Tom Cidav, Lisa A.K. Wiese, Jian Zou, Monique J. Brown Ph.D., Mph, Junfeng Ma, Breno S. Diniz, Ladda Thiamwong

Faculty Publications

Background: Older adults with Alzheimer’s Disease and Related Dementias (ADRD) experience a higher risk of falls. However, research lacks evidence on the effect of fall exposure on cognitive impairment and dementia. We investigated the association of falls and depressive symptoms with cognitive impairment and dementia in a nationally representative sample. Methods: We analyzed data from 6221 participants (age ≥ 65) in the Health and Retirement Study (HRS) from the 2018–2020 waves, using Multinomial logistic regression models. Measures included the HRS health status questionnaire, HRS cognition scale, and the Center for Epidemiological Studies Depression scale. Results: Prevalence of fall exposure across …

Rural–Urban Differences In Cognitive Outcomes Among Older Adults: The Roles Of Falls And Depressive Symptoms, Ayse Malatyali, Tom Cidav, Lisa A.K. Wiese, Jian Zou, Monique J. Brown Ph.D., Mph, Junfeng Ma, Breno S. Diniz, Ladda Thiamwong

Faculty Publications

Background: Older adults with Alzheimer’s Disease and Related Dementias (ADRD) experience a higher risk of falls. However, research lacks evidence on the effect of fall exposure on cognitive impairment and dementia. We investigated the association of falls and depressive symptoms with cognitive impairment and dementia in a nationally representative sample. Methods: We analyzed data from 6221 participants (age ≥ 65) in the Health and Retirement Study (HRS) from the 2018–2020 waves, using Multinomial logistic regression models. Measures included the HRS health status questionnaire, HRS cognition scale, and the Center for Epidemiological Studies Depression scale. Results: Prevalence of fall exposure across …

Heat And Socioeconomic Deprivation Compound To Drive Coronary Heart Disease In Los Angeles, Shutong Huo, Tessa R. Pulido, Reginald S. Archer, Joshua B. Fisher, Jason A. Douglas

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Background:

Socioeconomic deprivation and environmental heat exposure each increase cardiovascular risk, yet evidence is limited on how these stressors co-occur and jointly shape disease burden within cities. Mapping their overlap can inform equity-oriented planning and needs-based allocation of health and social protection resources.

Methods:

We conducted an ecological geospatial analysis of 2,513 census tracts in Los Angeles County. Adult coronary heart disease (CHD) prevalence was obtained from CDC Population Level Analysis and Community Estimates (2021). Socioeconomic deprivation was measured using the Social Deprivation Index (SDI), and heatwave surface heat hazard was measured using land surface temperature (LST) retrieved from the …

Integrating The Glycemia Risk Index Into Clinical Practice And Research: A Consensus Report, Guillermo E Umpierrez, Viral N Shah, Veronica Brady, Mark A Clements, Juan Espinoza, Elizabeth Healey, Michael A Kohn, David M Maahs, Ralph Oiknine, Jane J Seley, Steven P Weitzman, David Kerr, Halis K Akturk, Grazia Aleppo, Mohammed E Al-Sofiani, Eda Cengiz, Francis J Doyle, Osagie Ebekozien, Steven V Edelman, Laya Ekhlaspour, Guido Freckmann, Lutz Heinemann, Irl B Hirsch, Victoria C Hsiao, Sun H Kim, Boris Kovatchev, Rayhan A Lal, Marcus Lind, Julia K Mader, Nestoras Mathioudakis, Tracey Mclaughlin, Sultan A Meo, Deborah A Osafehinti, Moshe Phillip, Priya Prahalad, David Scheinker, Michael P Snyder, Jing Wang, Jenise C Wong, Eugene E Wright, Mandy M Shao, Agatha F Scheideman, Ashley Y Dunova, David C Klonoff

Faculty, Staff and Student Publications

A panel of experts in the use of continuous glucose monitoring (CGM) data in the treatment of diabetes met in Burlingame, California on October 27, 2025 to discuss the utility of the glycemia risk index (GRI) for clinical care research and population health management. The GRI composite metric is a single number (on a 0-100 percentile scale-lower is better) based on an expert-determined weighting of the seven individual components in the existing ambulatory glucose profile (AGP). The GRI describes the quality of glycemia based on glucose values collected in a 14-day CGM tracing, thus providing additional insights into CGM profiles …

A Pocket Manual For Human Papillomavirus Vaccines, Natalie A Voss, J Brooks Jackson, Mary B Rysavy

Faculty, Staff and Student Publications

Human papillomavirus (HPV) is the most common sexually transmitted infection worldwide and is responsible for the majority of cervical, anal, and vaginal cancers. The first prophylactic HPV vaccine was introduced in the United States in 2006. Extensive evidence demonstrates the HPV vaccine is highly efficacious and effective, particularly when administered prior to HPV exposure. Despite strong safety data and proven cost-effectiveness, HPV vaccine uptake in the United States and globally remains suboptimal. Barriers to vaccination include limited knowledge, safety concerns, and logistical challenges. Current advancements focus on single-dose vaccine regimens, development of therapeutic vaccines, and higher-valent formulations. Expanding HPV vaccine …

The Effect Of Debriefing Following A Computer-Based Low-Fidelity Simulation On The Self-Efficacy Of Health Professions Students: A Randomized Cross-Over Control Study, Matthew Mills, Enrico Gandolfi, Richard E. Ferdig, Kimberly Peer

Internet Journal of Allied Health Sciences and Practice

Purpose: Simulations have been increasingly used in health science education to supplement clinical experience. There is evidence of the benefits of high-fidelity simulation (HFS) with debriefing, but HFS is costly and time-intensive to administer. Low-fidelity simulation (LFS) has been proposed as an alternative that is easier to scale and more cost-effective; however, the evidence surrounding its impact on students is mixed, possibly because debriefing is frequently omitted in LFS. Methods: A randomized experimental mixed methods cross-over control study was performed to evaluate the impact of a structured debriefing session following an interactive computer-based low-fidelity simulation on the self-efficacy and anxiety …

Face And Content Validity Of A Survey Tool To Measure Perceived Barriers And Facilitators To Diabetes Management In Rural Veterans: Perspectives Of Registered Dietitians, Jameson Tade, Mary Shotwell, Ronette Lategan-Potgieter, Marty R. Jacobson

Internet Journal of Allied Health Sciences and Practice

Purpose: Type 2 diabetes mellitus (T2DM) is a major health challenge in the United States, affecting over 36 million Americans exceeding $105 billion annually in treatment-related costs.^1,2 Type 2 diabetes affects some populations more than others, including rural and veteran populations.^1,3 Registered dietitians (RDs) are an integral part of the diabetes management team, but limited literature is available to identify perceived barriers to T2DM management in military veterans who preside in rural areas. The purpose of this study was to explore face and content validity of a survey tool distributed to Veterans Health Administration (VHA) dietitians in a …

Impediments To Transforming The Healthcare Delivery System: Shifting The Paradigm From Provider Centric To Patient Centric, Elizabeth A. Regan, Manasa Devi Chinta

Faculty Publications

Introduction: 

Stated aims for digital healthcare transformation frequently cite goals for better coordinated patient-centric systems. However, despite advances in medical science, digital technologies, health policies, and billions of dollars invested over the past 25 years, most healthcare providers are far from fully realizing the demonstrated benefits of today's digital technologies for improving patient care. Sharing information across healthcare systems remains challenging. Problems with fragmentation, quality, inequities, and rising costs of care delivery persist. A recent study of 1,026 U.S. hospital systems found that only 15.8 percent achieved a digital maturity level needed to provide digitally enabled healthcare services to better …