Health Information Technology Commons^™

From Controversy To Comeback: The Renewed Role Of Pralidoxime In Op Poisoning, Dr Sanaa Jain, Dr Savitha V, Dr . Shashidhara K C

Digital Journal of Clinical Medicine

Organophosphorus compounds are commonly used as pesticides in agriculture, but they are responsible for approximately one-third of suicide deaths in Asian countries.The symptoms of organophosphate (OP) poisoning vary over time and are categorized into three phases: Acute Cholinergic Crisis (minutes to 24 hours), Delayed Phase (24 hours to 2 weeks), which may include intermediate syndrome, coma, and extrapyramidal symptoms, and Late Phase (OPIDP). Treatment typically involves Atropine, Pralidoxime, and symptomatic management, including airway support and mechanical ventilation.

Ropinirole-Induced Sleep-Related Behavioral Disturbances And Psychotic Symptoms In Parkinson's Disease: A Case Report, Kareena Arora, Akshatha C. J, Rajesh Raman, Vikrant Arora, Bindu Annigeri, Megha Sadashiv

Digital Journal of Clinical Medicine

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized primarily by motor symptoms such as bradykinesia, rigidity, and tremor. Though commonly associated with motor symptoms but can also present with significant non-motor symptoms such as sleep disturbances, psychosis, and cognitive decline. These symptoms may arise spontaneously or be medication-induced. We present the case of a 53-year-old male with Parkinson’s disease who developed nocturnal behavioural disturbances and psychotic features, likely secondary to dopaminergic agonist medication. Symptom resolution followed adjustment of antiparkinsonian medications and the introduction of antipsychotic medication

Unusual Case Of Pelvic Fracture Urethral Distraction Defect, Varuni Pragya, Madhukesh Rudramurthy, Siddalinga Murthy G

Digital Journal of Clinical Medicine

INTRODUCTION

Urinary bladder ruptures are an uncommon injury, occurring in less than 1% of all blunt abdominal trauma. Extraperitoneal bladder ruptures are generally associated with pelvic fractures and usually managed nonoperatively but open surgery is required when these injuries are associated with additional trauma to structures like prostate and urethra.

CASE PRESENTATION

We report our experience with a 32-year-old male who suffered a head on collision with a four-wheeler while driving a two-wheeler in a road traffic accident. He presented to the hospital with abdominal and pelvic pain, difficulty in passing urine and swelling of the scrotum. His X Ray …

Pulmonary Hemosiderosis In A Young Child Presenting With Recurrent Respiratory Illness And Refractory Anemia: A Case Report, Praveen Das, Ratnapriya Chowdhry, Neha Bhongale, Poonam Wade

Digital Journal of Clinical Medicine

Pulmonary hemosiderosis (PH) is a rare cause of diffuse alveolar hemorrhage in children and often presents with nonspecific respiratory symptoms and refractory iron‑deficiency anemia. We report a 2.5‑year‑old girl with recurrent lower respiratory tract infections, severe transfusion‑dependent anemia, failure to thrive, and persistent bilateral pulmonary infiltrates since infancy. Bronchoalveolar lavage demonstrated hemosiderin‑laden macrophages, confirming pulmonary hemosiderosis. Further evaluation revealed C‑ANCA positivity and PR3‑ANCA negativity, raising suspicion for an ANCA‑associated vasculitis; however, there was no renal, ear‑nose‑throat, or other systemic involvement, and a lung biopsy could not be performed. The child was managed with systemic corticosteroids with clinical improvement. This case …

State Social Benefit Schemes For Women In Continuity Of Psychiatric Care: A Case Report, Mathumitha A, Kishor M. Manohar Rao Professor

Digital Journal of Clinical Medicine

Mental health disorders are a major global public health challenge. The disorders affect over a billion people worldwide, while depressive and bipolar spectrum disorders also contribute substantially to disability and reduced quality of life. According to the World Health Organization, major depression alone affects more than 300 million people globally and is considered a leading cause of years lived with disability. Beyond clinical morbidity, mental illnesses exert a profound economic impact, with depression and anxiety accounting for an estimated USD 1 trillion annually in lost productivity worldwide, while the overall global economic burden of mental disorders is projected to reach …

N Y State Dent J August-September 2026

The New York State Dental Journal

In the August/September 2026 issue, the reader will find the following feature articles:

• Prevalence of Acute Periapical Abscesses in Cannabis Users
• Odontogenic Myxoma in Maxilla
• A Systematic Review of Recommendations for Asynchronous Teledentistry

This issue includes regular columns with regional news impacting the New York membership including editorial and perspectives columns, legal, association activities, component news, continuing education opportunities, and classifieds.

Increasing Patient Enrollment In The Healow App At Fetter Health Care Network, Genevieve Mccloskey, Goodness Ezeanyaso, Collin Cheatle, Dennis Besong

South Atlantic Division GME Research Days 2026

No abstract provided.

Integrating Telehealth Into Advanced Health Assessment: A Bimodal Approach, Heather M. Jones, Tracy Alam, Beth A. Ammerman, John Jardine, Carolyn Rutledge

Ellmer School of Nursing Faculty Publications

The expansion of telehealth emphasizes the need for advanced practice registered nurses (APRNs) to develop competencies in telehealth technology and techniques. Limitations in physical assessments and the lack of comprehensive telehealth curricula in APRN programs have been identified as barriers to students' preparedness and confidence in performing telehealth assessments in clinical practice. This project evaluated integrating telehealth content into an advanced health assessment course with both in-person and online laboratories. Presurveys and postsurveys showed increased student confidence and competency in telehealth skills across both modalities. These findings support incorporating standardized telehealth education into APRN curricula to enhance telehealth clinical readiness.

January 2026, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

• Tired of Failing New Year's Resolutions? Try "Health Esteem" instead.
• January Health Tips
• Route 66 Walking Challenge

Robust And Interpretable Medical Image Segmentation Via Retrieval And Mechanistic Analysis, Salma Ahmed

Theses and Dissertations (Comprehensive)

Medical image segmentation is a critical component of clinical decision-making, yet deep learning based segmentation models face persistent challenges. These models typically require large volumes of densely annotated data, exhibit strong sensitivity to domain shifts across scanners and patient populations, and lack explicit anatomical priors. Furthermore, despite continual architectural advances beyond fully convolutional networks, most segmentation models remain opaque, where they lack the granularity required for component-level analysis. As a result, when segmentation models fail, it is difficult to identify which internal representations are responsible, limiting developers’ ability to diagnose errors, improve robustness, or establish trust in clinical settings. Existing …

Adjunctive Technologies To Electronic Fetal Monitoring: Promise, Pitfalls, And Lessons Learned, Rebecca Horgan, George Saade

Department of Obstetrics & Gynecology Faculty Publications

Despite widespread use, electronic fetal monitoring (EFM) has not demonstrably reduced perinatal morbidity or mortality, and likely contributed to the rise in cesarean delivery. To improve its utility, a number of adjunctive approaches have been introduced over the past three decades, including fetal pulse oximetry, ST segment analysis (STAN), and maternal oxygen supplementation. Each intervention was supported by strong physiologic rationale, yet none achieved widespread clinical adoption due to inconsistent evidence of benefit and, in some cases, potential harm. This review critically evaluates landmark studies on EFM adjuncts, highlights the limitations that have impeded progress, and outlines emerging innovations, including …

A Unified Automated And Explainable Ai Framework For Drug Discovery, Clinical Diagnostics, And Public Health Data Prediction, Lord Coffie

College of Graduate Studies: Theses & Dissertations

This thesis investigates the development of automated, explainable artificial intelligence systems to improve automated scientific discovery, clinical diagnostic support, and public health decision-making. Three independent yet thematically aligned studies were conducted across cheminformatics, radiology, and population health. Study A introduces an automated and explainable machine learning pipeline for Quantitative Structure–Activity Relationship (QSAR) modeling using RDKit-derived molecular descriptors. The pipeline performs systematic preprocessing, consensus-based feature selection (mutual information, random forest importance, RFECV), and benchmarks six supervised models—Random Forest, XGBoost, Support Vector Machine, Balanced Random Forest, EasyEnsembleClassifier, and a blended meta-ensemble, achieving AUC = 0.90 and accuracy = 0.83, while ensuring interpretability …

Early Icu Physiological Subtyping From Time-Series Data: A Comparative Study Of Feature Complexity, Predictive Performance, And Model Interpretability, Rojeena Khadka

College of Graduate Studies: Theses & Dissertations

Intensive Care Unit (ICU) patients do not follow a single uniform physiological pattern. Patients admitted with the same diagnosis show different clinical trajectories over time making standardized classification and treatment approaches insufficient. The increasing availability of large-scale electronic health records in MIMIC-IV makes it possible to investigate such heterogeneity through data-driven approach that captures how physiology evolves during the early phase of ICU admission. This thesis compares two analytical pipelines designed to identify physiological subtypes from the first 48 hours of ICU time series data. This study then assesses how well these subtypes predict in-hospital mortality. The first approach, referred …

How Is The Use Of Ai Impacting Nursing Students Education?, Lorna H. Strain

Honors College Theses

The use of Artificial Intelligence (AI) in education is rapidly increasing and reshaping how nursing students learn and engage with content. This thesis proposal looks at the impact of AI on the education of nursing students and explores students' perceptions of its use in their learning and education. As AI becomes more prevalent, many students are using it for study aids and content personalization, while schools are using it in simulations and textbook platforms. Many recognize its benefits, such as enhanced critical thinking, improved accessibility of materials, and more immersive learning. Concerns persist around ethical use, academic integrity, and the …

Analysis Theories On Artificial Intelligence, Chatgpt, Data Science, And Metaverse: The Case Of Digital Medicine, Yin Yang, Xingyun Liu, Jorge Luis Cuyubamba Dominguez, Yuan Fang, Wen Xie, Bairong Shen, Keng Siau

Research Collection School Of Computing and Information Systems

Healthcare organizations are increasingly adopting digital technologies, with Artificial Intelligence (AI), Data Science, and the metaverse driving significant advancements in smart healthcare. Al facilitates personalized medicine and efficient drug development, while Data Science enables predictive analytics and big data management, enhancing patient outcomes and healthcare quality. The metaverse introduces immersive training and telemedicine platforms, revolutionizing patient engagement and healthcare research. This study conducts' a scoping review of 6,171 articles, analyzing the transformational impact of AI, ChatGPT, Data Science, and the metaverse on healthcare. It highlights the benefits and risks of these technologies, identifies research gaps in their application within the …

From Passive To Powerful: Creating Engaging Resident-As-Teacher Modules, Anna E Rueda, Stephanie V Sherman, Sherita J Love, Glenn C Bridges, Wesley A Mayer, Mark J Harbott, Teri L Turner, Bani M Ratan

Faculty and Staff Publications

Background: We aimed to design, implement, and evaluate three novel institutional resident-as-teacher (RAT) e-modules for postgraduate year (PGY) 1, 2, and 3 and compare them to previously utilized online trainings.

Methods: We utilized PICRAT, a model examining both students' relationship with technology (passive, interactive, creative) and instructors' use of technology (replaces, amplifies, or transforms) to create interactive experiences that amplified teaching methodologies. We compared evaluations of the previous and new trainings with an unpaired t test. New modules were assessed with one-way analysis of variance for specialty-based acceptability and content analysis of two open-ended questions.

Results: Response rates averaged 93.2% …

Enhancing Hospital Length Of Stay Using Ai Agent Modular Capabilities, Dami Fred

Theses and Dissertations

Hospital Length of Stay (LOS) analysis is essential for managing hospital efficiency and financial performance, yet the analytical depth required remains inaccessible to many organizations due to technical and resource constraints. This thesis introduces the AI Agent Modular Capabilities (AIAM) framework, which decomposes LOS analysis into discrete, codifiable capabilities integrated into a single skill activatable with one prompt. Seven AI Agent Modular Capabilities were developed using a Work Breakdown Structure and tested against a simulated hospital scenario across three successive skill versions. Results demonstrate that the packaged AIAM skill produces comprehensive, consistent, multi-section LOS analyses from a single interaction, outperforming …

Hubungan Persepsi Manfaat Terhadap Kesadaran Kesehatan Pengguna Wearable Device Di Kota Banda Aceh, Raihanil Fitri, Tahara Dilla Santi, Hafnidar A. Rani

Perilaku dan Promosi Kesehatan: Indonesian Journal of Health Promotion and Behavior

Background. Wearable devices are portable technologies designed to be worn directly on the body and capable of collecting and analyzing data related to various aspects of a user's health. Aim. This study aims to analyze the influence of perceived benefits on users' health awareness among wearable device users in Banda Aceh City.

Aim. This study aims to analyze association of perceived benefits on users' health awareness among wearable device users in Banda Aceh City.

Method. This research applied a descriptive quantitative design with a cross-sectional approach. Data were collected using a questionnaire from 106 active wearable device …

Using Machine Learning To Predict Women At Risk Having A Child With Congenital Heart Defects, Amany M. Abdo Prof., Asmaa M. Mosallam Ms., Laila M. Abdelhamid Assoc.Prof.

Information Systems

Congenital heart defects (CHD) are heart malformations present at birth, affecting heart function and circulation, and are a leading cause of infant mortality. CHD can result from genetic, environmental, and maternal health factors, making early detection essential. Early diagnosis allows for timely intervention, reducing risks like heart failure or stroke. In countries like Egypt, CHD often remains undiagnosed due to limited healthcare resources. Artificial intelligence (AI) can improve early detection by analyzing risk factors. This study presents a predictive model for CHD using maternal and paternal health factors. Data was collected from 571 families: 260 with a CHD-affected child and …

Mediapipe-Based Extraction Of Joint Rom And Position From Patient Videos For The Functional Movement Screen: An Exploratory Study, Joshua Paul Verdillo, Lily Ann Bautista

Philippine Journal of Physical Therapy

Introduction. The Functional Movement Screen (FMS) is widely used to identify movement deficiencies and potential injury risk. However, its reliance on visual inspection introduces subjectivity, requires specialized training, and necessitates face-to-face assessment. Advances in computer vision, offer opportunities to automate and better objectify functional movement assessment. This exploratory study aimed to evaluate the feasibility of using a MediaPipe-based system, Software-Optimized Movement Assessment (SOMA), to extract joint range of motion (ROM), joint position, and compensatory movement patterns from patient videos during FMS performance.

Methods. SOMA was developed using MediaPipe Pose and MediaPipe Hands libraries integrated with Python-based tools to analyze videos …