Health Information Technology Commons^™

Personal Health Advice In The World Of Artificial Intelligence: An Assessment Of Responses From Chatgpt For Three Common Health Conditions In The Southern United States, Marion W. Evans Jr, Julie Harrison Swartz, Harrison Ndetan, Damian Francis, John Moore, Mary Kozub, Ernie Kaninjing, Jennifer Jones-Locklear, Debbie Greene, Josie Doss

Journal of Public Health in the Deep South

Background: Artificial intelligence (AI) applications within the health sciences including education and healthcare practice are now common. Patients are likely to apply AI to better understand their health status or to learn what they can do to improve their health.

Purpose: The purpose of this study was to evaluate outputs from ChatGPT for three common health conditions seen in the southern United States as to whether it would include medically biased care or lifestyle related advice, legitimate sources of information and to assess reading levels generated.

Methods: Health care professionals rated outputs in 4 areas and interrater …

Validating Pharmacogenomics Generative Artificial Intelligence Query Prompts Using Retrieval-Augmented Generation (Rag), Ashley Rector, Beth Breeden, Jay Dorris

Student Scholar Symposium

This study evaluated the performance of Sherpa Rx, an artificial intelligence platform leveraging large language models and retrieval-augmented generation (RAG) for pharmacogenomics, by validating its performance across key response metrics. Sherpa Rx integrated Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines with Pharmacogenomics Knowledgebase (PharmGKB) data to generate contextually relevant responses. A dataset (N=260 queries) spanning 26 CPIC guidelines was used to evaluate drug-gene interactions, dosing recommendations, and therapeutic implications. In Phase 1, only CPIC data was embedded; Phase 2 additionally incorporated PharmGKB. Responses were scored on accuracy, relevance, clarity, completeness (5-point Likert scale), and recall. Wilcoxon signed-rank tests compared accuracy between …

Developing Nlp-Based Open-Source Tools To Improve Medication Order Interpretation In Ehr Systems, Preslie Breton

Student Scholar Symposium

Interpreting free-text medication orders in Electronic Health Record (EHR) systems is challenging due to variability, increasing the risk of errors and non-compliance with Joint Commission (TJC) standards. This research develops Natural Language Processing (NLP) tools to enhance medication order accuracy, particularly for Duplicate PRN orders. Our open-source, vendor-neutral approach ensures broad applicability across healthcare institutions while maintaining data security.

Using Python and the Natural Language Toolkit (NLTK), we implemented a four-phase methodology. First, the NLP framework was developed on Google Colab for collaborative accessibility. Next, models were trained on 10,000 anonymized synthetic free-text medication orders to detect non-compliant entries. Model …

Implementation And Outcomes Of A Digital Onboarding Taskforce In The Acute Care Setting, Julianna Lenoir, Alexzandra Gentsch, Akshay Krishnan, Jeffrey Ndubisi, Marissa Witmer, Kristin L. Rising, Brooke Worster, Angela M. Gerolamo

Jefferson Center for Connected Care Faculty Papers

INTRODUCTION: Use of digital health technology can improve patient health outcomes; however, not all patients have the knowledge and skills to download a health app and access a patient portal. Providing digital onboarding support to hospitalized patients has potential to overcome some barriers to accessing needed education in the community, including both having the time and a location to receive education. To address this, our team developed the Jefferson Digital Onboarding Taskforce (JeffDOT), a group of staff and students who approach hospitalized patients and provide one-on-one teaching on how to sign up for and use a patient portal.

METHODS AND …

Evaluating The Impact Of System, Information, And Service Quality On User Outcomes In Malaysian Public Hospitals: A Structural Equation Modeling Approach, Muhd Siv Azhar Merican Abdullah, Azimatun Noor Aizuddin, Mohd Rizal Abdul Manaf

Makara Journal of Health Research

Background: Increasing use of hospital information systems (HIS) underscores the need to evaluate their impact on User Satisfaction and Perceived Net Benefits. This study investigated the connections among outsourced System Quality, Information Quality, Service Quality, Perceived Usefulness, User Satisfaction, and Perceived Net Benefits in the context of Malaysian public hospitals.

Methods: Data were collected from 1,376 healthcare personnel across six public hospitals and analyzed using structural equation modeling through analysis of moment structures grounded in the DeLone and McLean Information Systems Success Model.

Results: System and Service Qualities significantly influenced User Satisfaction and Perceived Usefulness, while Information Quality impacted …

Objective Vs. Perceived Maternal Smartphone Use And Observed Mother-Infant Interaction Quality, Alison K. Ventura, Lara N. Wolfers, Sarah M. Coyne, Rachel Pfafman, Sabrina Uva, Karla I. Ceja Almontes, Aniruddha S. Shinde, Adam M. Galovan, Brandon Mcdaniel

Health Services and Informatics Research

Introduction:

Prior research links maternal smartphone use to reduced sensitivity and responsiveness to infant cues, but emerging evidence suggests that mothers' perceptions of their smartphone use - such as feelings of empowerment or distress - may also shape the quality of mother-infant interactions. This study examined how both objective and perceived smartphone use related to mother-infant interaction quality in naturalistic settings.

Method:

Participants were 147 mother-infant dyads from a longitudinal study of smartphone use and infant development. When infants were 2 months old, mothers completed 5 days of ecological momentary assessment (EMA), reporting time spent with their infant, perceived smartphone-related …

Dental Care Utilization And Expenditures Among Individuals With Asthma, Shillpa Naaval, Vaibhavi Mone

Health Services and Informatics Research

Objectives To examine dental care utilization and health and dental care expenditures among individuals with asthma.

Methods Data from the 2022 Medical Expenditure Panel Survey (MEPS) (n = 21,405) were used to examine dental care utilization (any dental, preventive dental, and treatment dental visit) among individuals ≥ 1 year with and without asthma, and mean expenditures were summarized.

Results Overall, the asthma diagnosis was 13.2%, 14.7% in working-age adults compared to 9.5% in children. The percentage of treatment dental visits was higher overall (17.0% vs. 14.5%, p <  0.05) among the asthma group compared to the non-asthma group. Among individuals with asthma, those who had preventive dental visits had lower dental expenditures compared to those who had treatment dental visits for all age groups.

Conclusion Individuals with asthma had a higher prevalence of using dental treatment services. …

Referral Strategies For Recruitment And Engagement Of Community Adults Into Online Extension Health Programs, Cheryl L. Eschbach, Dawn A. Contreras, Holly B. Tiret

Journal of Human Sciences and Extension

This article shares details behind building organizational capacity to establish program referrals for statewide recruitment of community adults into Cooperative Extension’s online health programs. This study explores the role of intentional recruitment strategies (active and passive) to increase participant program enrollment into health education and shares examples from one state that has created a trained workforce that offers ongoing research- and evidence-based programs. After many years of trying paper, phone, and electronic medical record methods to increase program reach, Michigan State University Extension tried an electronic referral process via a QR code and web link, accompanied by program marketing, to …

December 2025, Swosu Rural Health Center

RURAL ROCKS

• FDA MedWatch - 20 mEq Potassium Chloride Injection by Otsuka ICU Medical
• Plan to expand Medicare Coverage of GLP-1s
• Pharmacist Interventions in The US Oncology Network Cut Cancer Care Costs by Nearly $9 Million

Augmenting Large Language Models To Predict Social Determinants Of Mental Health In Opioid Use Disorder Using Patient Clinical Notes, Madhavi Pagare, Deva Sai Kumar Bheesetti, Inyene E. Essien-Aleksi, Mohammad Arif Ul Alam

Health Sciences Faculty Publications

Objective

Identifying social determinants of mental health (SDOMH) in patients with opioid use disorder (OUD) is crucial for estimating risk and enabling early intervention. Extracting such data from unstructured clinical notes is challenging due to annotation complexity and requires advanced natural language processing (NLP) techniques. We propose the Human-in-the-Loop Large Language Model Interaction for Annotation (HLLIA) framework, combined with a Multilevel Hierarchical Clinical-Longformer Embedding (MHCLE) algorithm, to annotate and predict SDOMH variables. Materials and Methods

We utilized 2636 annotated discharge summaries from the Medical Information Mart for Intensive Care (MIMIC-IV) dataset. High-quality annotations were ensured via a human-in-the-loop approach, refined …

A Study On The Influence Of Entity Internet Hospital Platforms And Health Literacy Facilitation On Postoperative Patients’ Platform Usage, Hong Ye

Dissertations and Theses Collection (Open Access)

Entity Internet Hospital (EIH) is emerging online medical service platforms in China. Currently, while EIHs in China are developing rapidly, their usage rates remain low. However, postoperative patients have substantial follow-up consultation needs. Consequently, incentivizing postoperative patients to use EIH from the demand side is a highly challenging proposition in the current era. Grounded in Technology Acceptance Model and Health Belief Model, this study examined the impacts of platform and health literacy facilitation on platform usage (including intention and frequency) among 631 postoperative patients with cardiovascular disease from four medical institutions in Wuhan, and explored the moderating role of literacy …

December 2025, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

• SWOSU Wellness 5k
• Employee Massages 12/4 & 12/5
• Flu Season
• Winter Crossword

Ataxia-Telangiectasia Mutated Activation Mediates Transforming Growth Factor Beta Signaling In Acetaminophen-Induced Liver Injury In Mice, Matthew Mcmillin, Christopher S Chu, Elaina Williams, Juliet Venter, Kiersten Bell, Anca D Petrescu, Patrick Mireles, Sharon Demorrow

Faculty and Staff Publications

Acetaminophen (APAP) overdose is associated with increased transforming growth factor beta 1 (TGFβ1) signaling and elevated oxidative stress, which exacerbate DNA damage. TGFβ1 has been shown to regulate ataxia-telangiectasia mutated (ATM) signaling and DNA repair in other cell types. This study investigates the DNA damage response (DDR) during APAP-induced liver injury, focusing on ATM-mediated regulation of TGFβ1 signaling. APAP administration in vitro and in vivo resulted in DNA damage, increased ATM signaling, accumulation of γH2AX, and activation of phosphorylated ataxia telangiectasia mutated (pATM) and phosphorylated checkpoint kinase 2 (pChk2). Pretreatment with an ATM inhibitor, KU55933, attenuated APAP-induced hepatocyte damage and …

Real-Time Estimated Sequential Organ Failure Assessment (Sofa) Score With Intervals: Improved Risk Monitoring With Estimated Uncertainty In Health Condition For Patients In Intensive Care Units, Yan He, Qian Luo, Hai Wang, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi

Research Collection Lee Kong Chian School Of Business

Purpose: Real-time risk monitoring is critical but challenging in intensive care units (ICUs) due to the lack of real-time updates for most clinical variables. Although real-time predictions have been integrated into various risk-scoring systems to aid monitoring, existing systems do not address uncertainties in risk assessments. We developed an enhanced risk monitoring framework based on commonly used systems like the Sequential Organ Failure Assessment (SOFA) score by incorporating uncertainties to improve the effectiveness of real-time risk monitoring in ICUs.Methods: This study included 5,351 patients admitted to the Cardiothoracic ICU in the National University Hospital in Singapore. We developed machine learning …

Promoting Competence And Confidence: Simulation-Based Basic Life Support Training For Jordanian Nurses, Yousef Shukry Abu-Wardeh, Wan Muhamad Amir W Ahmad, Mohd Shaharudin Shah Che Hamzah, Intan Idiana Hassan

Jurnal Keperawatan Indonesia

Cardiopulmonary arrest is a major health issue that affects healthcare providers. The COVID-19 pandemic has added a new risk to rescuers who may be attempting to resuscitate victims. It is essential to strike a balance between resuscitation and the need to protect oneself from infection. The study aims to evaluate the effectiveness of simulation training in enhancing the Basic Life Support (BLS) knowledge, skills, and confidence levels of newly employed nurses. The study employed a single-masked, prospective, randomized controlled trial design, which consisted of three phases: a pre-test, an immediate post-test, and a post-test conducted three months later. The American …

Determining Factors For Long Term Use Of Gadget By Preschool Children, Wardatus Sholihah, Allenidekania Allenidekania, Nur Agustini, Rukmini Rukmini, Dwi Yuniar Ramadhani

Jurnal Keperawatan Indonesia

In the digital era, preschoolers spent more time playing on their gadgets than with their peers. The excessive use of gadgets (including laptops, cellphones, tablets, and similar electronic devices) can have negative impacts on preschool-age children. This study analyzes the determining factors that influence the duration of gadget use in preschool children. The study used a correlational design with a cross-sectional approach involving 318 parents who were selected using cluster sampling. The results showed that there was a significant relationship between the duration of gadget use and the gender of the parents (p = 0.001), parental education (p = 0.035), …

Psychological Distress And Quality Of Life Among Infertility Couples Undergoing Infertility Treatment In Malaysia, Farrahdilla Hamzah, Zamzaliza Abdul Mulud, Malini Mat Napes, Sarah Abdul Mubarak, Rosliza Shafie

Jurnal Keperawatan Indonesia

Infertility often leads to stress, anxiety, and depression, significantly affecting the quality of life of affected couples. This study explored the sociodemographic and psychological factors influencing the quality of life among infertile couples undergoing in vitro fertilization (IVF) treatment in Malaysia, using a cross-sectional design. A total of 126 infertile couples were purposively sampled from three public hospitals offering IVF treatment. The Depression, Anxiety, and Stress Scale (DASS-21) measured psychological distress levels, while the Fertility Quality of Life (Ferti-QoL) scale assessed fertility-related quality of life. Data collection adhered to strict ethical standards, with confidentiality ensured. Participants provided informed consent and …

Development Of A Telenursing-Based Self-Assessment Questionnaire For Diabetic Foot Ulcer Risk, Ratna Wirawati Rosyida, Sugiyarto Sugiyarto

Jurnal Keperawatan Indonesia

Development of a Telenursing-Based Self-Assessment Questionnaire for Diabetic Foot Ulcer Risk. Early identification of the risk of diabetic foot ulcers (DFU) is crucial in preventing ulcers. Caring for diabetic patients, including early detection of the risk of DFU with telenursing, will improve accessibility to health facilities and also help the work of nurses. Currently, there are many instruments or tools to detect the risk of DFU, but instruments that apply telenursing and can be used independently and easily by patients are still limited. This study aimed to develop a digital self-assessment questionnaire for DFU risk in type 2 Diabetes Mellitus …

Assessing Community Readiness And Benefits Of A Nursing Program: Implications For Healthcare And Education, Mary Anne Frances D. Reyes, Aaron A. Funa, Robert Jamisola, Ma. Joahna D. Perdigon, Jerica D. Latonero

Jurnal Keperawatan Indonesia

In response to recent policy shifts allowing the establishment of new nursing programs in the Philippines, this study assesses the perceived readiness of Sorsogon, a geographically underserved province, to implement a bachelor of science in nursing program. It also explores the anticipated benefits that such a program may offer to students and the local community. A cross-sectional survey of 375 stakeholders, selected through purposive sampling, was conducted using a validated instrument developed through expert consultation. Quantitative data were analyzed using descriptive statistics, while qualitative responses were examined through thematic analysis. The findings reveal widespread support for the proposed program, emphasizing …

Effectiveness Of Intradialytic Resistance Training On Muscle Mass And Strength In Patients On Hemodialysis, Sandra Vasquien, I Ketut Swarjana, A.A.A. Yuliati Darmini, I Nyoman Arya Maha Putra

Jurnal Keperawatan Indonesia

Hemodialysis (HD) patients with chronic kidney disease (CKD) lose muscle mass and strength due to protein energy wasting (PEW). The purpose of this study was to test the effectiveness of intradialytic resistance training (IRT) in increasing muscle mass and strength. It used a pre-experimental, one-group pretest-posttest design. Based on a sample size estimate using G*power software, 33 CKD patients undergoing HD at a private hospital in Bali were included. The patients were selected using purposive sampling. Muscle mass was measured using Bioelectrical Impedance Analysis (BIA), while muscle strength was measured using the Medical Research Council Muscle Scale. The Wilcoxon test …