Improving Adherence To Remote Patient Monitoring (Rpm) For Patients With Hypertension, Chioma Udegbune

Student Scholarly Projects

Practice Problem: Hypertension is a leading contributor to cardiovascular disease, and suboptimal adherence to remote patient monitoring (RPM) limits opportunities for timely intervention and effective blood pressure management in outpatient primary care.

PICOT: The PICOT question that guided this project was: Among outpatient clinic nursing staff responsible for remote patient monitoring (RPM) in adults with hypertension (P), how does implementation of a structured nurse-led education and reminder protocol (I), compared to standard RPM practices consisting of routine onboarding and passive reminder processes (C), influence patient adherence to RPM protocols (O) over a 10-week period (T)?

Evidence: Evidence supports nurse-led education, …

Improving Documentation Of Skin Assessment In The Med-Surg Overflow Microsystem, Min Kim, Mikeal A. Swift

Master's Projects and Capstones

Abstract

Problem

Hospital-acquired pressure injuries (HAPIs) remain a costly patient safety concern with increased morbidity and prolonged hospitalization. Inconsistent admission skin assessment documentation in a 24-bed overflow medical–surgical microsystem led to delayed wound identification and misclassification.

Context

A baseline needs assessment (n = 15) identified key barriers, including low nurse confidence utilizing Rover (mobile software application) and linking photos to the LDA (lines-drains-airway) in the electronic health record.

Intervention

A bundle of 6 components was tested over 12 weeks: standardization of the two-RN skin assessments within 8 hours of admission or transfer; optimization of Rover photo capture and LDA linkage; …

Ai-Driven Multi-Modal Mr For Precision Oncology, Maneet K. Marwaha

Radiologic Sciences

Purpose To examine the role of artificial intelligence (AI) in multiparametric magnetic resonance (MR) imaging for precision oncology, with a focus on automated tumor segmentation, treatment response prediction, and workflow efficiency.

Method A literature review was conducted to examine current evidence on AI applications in multiparametric MR imaging for oncology. Studies evaluating deep learning models for tumor segmentation, longitudinal imaging analysis, and treatment response prediction were synthesized using a thematic analysis approach.

Results Three primary themes emerged: (a) AI-driven tumor segmentation improved accuracy, reproducibility, and efficiency across multiparametric MR sequences; (b) deep learning models enhanced prediction of treatment response through …

Ai-Enhanced Ct Reconstruction: Effects On Image Quality Across Dose Levels And Implications For Radiation Dose Optimization: A Systematic Review, Matthew R. Alberto

Radiologic Sciences

Purpose To evaluate how deep learning image reconstruction (DLIR) affects diagnostic image quality and noise characteristics at different radiation dose levels and how it influences dose optimization compared with conventional reconstruction methods.

Method A systematic review was conducted using major databases for studies published between 2020 and 2026. Eligible studies assessed DLIR across multiple dose levels, reported radiation dose, included quantitative image quality metrics, and compared DLIR with filtered back projection or iterative reconstruction.

Results Thirty‑seven studies met criteria, and 15 were synthesized. Three themes emerged: (a) DLIR reduced noise by 15–82% and often improved signal-to-noise and contrast-to-noise ratios while …

Reducing Mr Acquisition Times Using Artificial Intelligence: A Systematic Review, Fatin M. Arief

Radiologic Sciences

Purpose To synthesize existing evidence on artificial intelligence (AI) applications for reducing magnetic resonance (MR) imaging acquisition time, evaluate their impact on image quality, and identify challenges in clinical implementation.

Method A systematic literature review was conducted using PubMed, CINAHL, and Scopus including peer reviewed, English-language articles published between 2020 and 2026. Both qualitative and quantitative primary research were eligible and had to be on AI use in MR processes. Findings were analyzed through thematic synthesis, and the quality of each study was appraised using relevant critical appraisal tools.

Results Three major themes emerged: AI methods in MR procedures, perceived …

Impact Of Artificial Intelligence On The Roles And Career Trajectories Of Radiologic Technologists, Carolina Esquivel

Radiologic Sciences

Purpose To examine how artificial intelligence (AI) is influencing the roles, responsibilities, and career trajectories of radiologic technologists by identifying emerging challenges and opportunities associated with AI integration in medical imaging.

Method A systematic literature review was conducted using PubMed and CINAHL to identify peer-reviewed studies published between 2016 and 2026. Eligible studies examined AI applications in medical imaging and their effects on workforce roles, education, collaboration, and professional practice. Findings were synthesized using thematic analysis.

Results Three primary themes emerged: (a) workflow efficiency and protocol optimization through AI-assisted imaging processes; (b) professional skill development and evolving responsibilities related to …

High-Definition Healing: Investigating Ai-Driven Mr Reconstruction Methods, Jerell R. Jones

Radiologic Sciences

Purpose To analyze recent artificial intelligence (AI)-driven magnetic resonance (MR) reconstruction methods aimed at addressing long acquisition times, image artifacts, and workflow inefficiencies.

Method A systematic literature review was conducted using PubMed, Scopus, and Scopus AI, targeting peer‑reviewed studies published between 2015 and 2026. Search terms included “MRI,” “magnetic resonance imaging,” “artificial intelligence,” “deep learning,” and “machine learning.” Eligible studies included methodology, validation, and review papers. Extracted data included algorithm type, study design, key findings, and limitations. Themes were identified through content analysis and generative AI use.

Results Prominent themes identified were the emergence of generative adversarial networks, advanced neural …

Comparing Ai-Generated And Human-Written Radiology Reports: Evidence From The Literature, Lakenya Webb

Radiologic Sciences

Purpose To evaluate the current evidence comparing artificial intelligence (AI)-generated radiology reports with radiologist-written reports, emphasizing diagnostic accuracy, clinical reasoning, workflow efficiency, and patient safety.

Method A literature review was performed using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies evaluating AI-generated radiology reports were analyzed using AI-assisted thematic synthesis to identify recurring patterns related to report quality, diagnostic performance, and clinical implementation.

Results The literature consistently identified three overarching themes: (a) AI-generated reports demonstrated improvements in structured reporting and factual consistency but exhibited variable diagnostic accuracy; (b) current AI systems had …

National Pacs And Electronic Health Records: Considerations, Challenges, And Implications For Radiomics, Darchelle Scott

Radiologic Sciences

Purpose To examine the considerations, challenges, and implications of implementing a national picture archiving and communication system (PACS) integrated with electronic health records (EHRs), with particular emphasis on interoperability, radiomics, and patient-centered data sharing.

Method A systematic literature review was conducted using books, peer-reviewed articles, original research studies, and government publications addressing radiomics, TEFCA, blockchain technology, PACS, and EHR integration. Literature was analyzed to evaluate national health information exchange, radiomics applications, and implementation challenges associated with a connected healthcare infrastructure.

Results Three primary themes emerged: (a) interoperable national PACS and EHR systems have the potential to improve continuity of care …

Reducing Potentially Preventable Emergency Department Visits (Ppvs) Through A Telehealth Intervention In Children With Asthma Within A Managed Care Organization (Mco), Renee A. Roker

Doctor of Nursing Practice Final Project Abstract

Abstract

Purpose:  The purpose of this quality improvement project was to reduce unnecessary ED utilizations among children with asthma enrolled in a Medicaid managed care health plan. The project aimed to improve access to care and enhance asthma self-management.

Background:  Asthma is one of the leading causes of Emergency Department (ED) utilization, among vulnerable populations. Members experience barriers to timely primary and specialist care, contributing to Potentially Preventable ED Visits (PPV) rates. This places managed care organizations (MCOs) at risk for financial penalties if not meeting the Texas PPV benchmark.

Methodology:  Guided by the Chronic Care Model, Lean Six Sigma …

Hitl Ai For Digital Transformation In Healthcare, Ntando S. Sibanda, Petronella Muziti, Priscilla Mataure

African Conference on Information Systems and Technology

Limited labor capacity, disjointed information flows and delays in clinical decision-making are among the ongoing issues that primary health care (PHC) systems in resource-constrained settings must deal with. These issues limit service delivery and impede efforts to undergo digital transformation. This study investigates how improved decision support at the primary care level can facilitate incremental digital transformation through human-in-the-loop (HITL) artificial intelligence (AI). In order to identify system gaps, design a context-sensitive HITL AI prototype and assess its viability, usability and integration within standard PHC workflows, the study employs a design-based implementation research approach that incorporates qualitative interviews, workflow observations …

Comparative Analysis Of Artificial Intelligence (Ai) Implications For Active Learning And Assessment At Various Curricular Levels Of Stem And Health Sciences In Developed Versus Underprivileged Countries, Vinay Munlapudi, Santanu De

FDLA Journal

Today’s all-pervasive emergence of artificial intelligence (AI) necessitates a comprehensive evaluation of its role in education, especially for occupational disciplines in health sciences and STEM. AI has reshaped student learning and instructors’ navigation of the evolving, post coronavirus infectious disease (COVID-19) global academic landscape. This study aimed at encapsulating evidence-based AI implications for student-centered, active learning and assessment at various curricular levels of science, technology, engineering, mathematics (STEM) and health sciences education in developed versus underprivileged or less developed countries. An extensive, scoping review of 65 recent, scholarly publications was conducted over six months through diverse search engines (PubMed, Google …

Medical Tourism Patient Guidance: A Content Analysis Of Risk Reduction Guidelines Available To Global Health Seekers., Alicia Mason, Angela Ashmore

Faculty Submissions

This study examines medical tourism (MT) patient guidance messages intended to reduce procedural risks—those directly related to biomedical treatments—and process risks, which involve logistical, administrative, and interpersonal challenges of seeking healthcare abroad. The analysis focuses on print and digital publications authored by individuals independent of the MT industry, including policy researchers, travel health experts, lifestyle reporters, and consumer-focused medical travel writers. Using a two-phase digital and database search strategy, 27 publications from 2009 to 2024 were identified and analyzed using exploratory content analysis methods. Findings reveal important differences in the scope and depth of guidance aimed at reducing risks for …

Enhancing Heart Failure Transitional Care To Reduce 30-Day Readmission Rate, Thuy Nhu Uyen Tran

Doctor of Nursing Practice Final Project Abstract

Purpose: The purpose of this quality improvement (QI) project is to reduce 30-day readmissions for adult patients with heart failure (HF) by implementing a standardized HF pathway beginning in the intensive care unit (ICU) and continuing through discharge.

Background: The project was implemented within a large healthcare organization in Northwest Houston, Texas.

Methodology: This project utilized a pre- and post-implementation design guided by the Plan-Do-Study-Act (PDSA) model. Eligible adult patients (≥18 years) with a primary or secondary HF diagnosis were identified during March 2026. The My Pathway to Wellness HF education pathway was initiated at the time of ICU downgrade …

August 2026, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

• National Wellness Month

• Stress Management Tips for Bulldogs

• Bulldog Resources

• Bulldog Wellness Bingo Challenge

August 2026, Swosu Rural Health Center

RURAL ROCKS

It's been an exciting season at the SWOSU Rural Health Center!

We are thrilled to share that SWOSU Rural Health has been awarded a second grant through Oklahoma's Rural Health Transformation Program (RHTP), building on the momentum of our Community-Led Wellness Microgrant. This week, we also have the privilege of welcoming representatives from the Centers for Medicare & Medicaid Services (CMS) and the Oklahoma Rural Health Transformation Program to SWOSU as they visit our Jerry & Margaret Hodge College of Pharmacy and Rural Health Center to highlight the innovative work happening across our region.

• Feds push back HIPAA security rule …

Evaluating Machine Learning Models On Classification Of Novel Cyber Attacks In The Healthcare Domain, Promise Ehimen

Dissertations, Theses, and Projects

The increasing adoption of the Internet of Medical Things (IoMT) has improved healthcare delivery through connected medical devices while simultaneously expanding the cybersecurity risks facing healthcare organizations. Although machine learning based intrusion detection systems have demonstrated high detection accuracy, their ability to respond reliably to previously unseen cyberattacks remains uncertain. This study investigated how a Neural Network model and a Logistic Regression model classified novel cyberattacks within the IoMT environment. The Neural Network and Logistic Regression models were both trained and tested using a subset of the CICIoMT2024 benchmark dataset. The Neural Network achieved 99.82% test accuracy and a 0.94 …

Technology Platform (Peer Plus) Supporting The Work Of Peer Recovery Coaches And The Communication Needs Of Individuals In Recovery From Substance Use Disorder: Protocol For An R21 Development And Usability Trial., Amanda Coupe, Jessica Pater, Rachel Pfafman, Victor P Cornet, Elisabeth Andrews, Mindy Flanagan, Dana Albright, Abhinay Balasani, Christopher Becker, Brian Parise, Erik Hess, Tammy Toscos

Health Services and Informatics Research

BACKGROUND: Substance use disorder (SUD) represents a significant public health concern in the United States. SUD recovery is complex and individualized, and support provided by peer recovery coaches (PRCs) can improve outcomes. The PRC-client relationship requires bidirectional mediated communication that is often informal but should be trackable, efficient, and aligned with health care privacy and security regulations. Current workflows and available apps do not meet these needs, illustrating the opportunity for client-centered technology tools. We have developed Peer PLUS (People Leveraging Urgent Support; Parkview Health System, Inc), a HIPAA (Health Insurance Portability and Accountability Act)-compliant mobile app and client management …

Pengaruh Buerger Allen Exercise Terhadap Sirkulasi Ekstremitas Bawah Pada Pasien Luka Kaki Diabetik, Jannaim Jannaim, Ridha Dharmajaya, Asrizal Asrizal

Jurnal Keperawatan Indonesia

The Influence of Buerger Allen Exercise on Lower Extremity Circulation in Patients with Diabetic Foot Ulcer. Diabetic footulcer (DFU) is a complication of diabetes caused by impaired venous and arterial blood circulation. Buerger allen exercise is a modality therapy with active postural movement. This study aims to assess the effect of buerge rallen exercise on the circulation of lower extremities in DFU patients. The study design was pre experimental pretest and posttest without control. The sampling technique was consecutive sampling and the large sample of 43DFU patients, analysis data was using Wilcoxon test. Increased circulation is measured using the Ankle …

Effective Strategies To Improve Telemedicine Services For Veterans In Baltimore, Maryland: A Qualitative Single-Case Study, Dolapo Uthman

Doctoral Dissertations and Projects

This qualitative single-case study investigated the inefficiency and limited accessibility of telemedicine services within a selected healthcare organization located in Baltimore, Maryland. The purpose of this study was to investigate how telemedicine services can be improved to enhance healthcare outcomes for patients and their overall quality of life. The data were collected using semi-structured interviews with 16 participants, supported by fieldnotes, and publicly available documents, and analyzed using reflexive thematic analysis. Methodological triangulation was used to validate the findings to ensure credibility and consistency. The research indicated that telemedicine enhances access to healthcare and supports continuity of care, especially for …