Health Information Technology Commons^™

Reducing Acute Healthcare Services With Self-Management Of Blood Pressure Monitoring Through Remote Patient Monitoring For Hypertensive Patients A Quality Improvement Project, Becky J. Wagner

Doctor of Nursing Practice (DNP) Manuscripts

Hypertension (HTN) affects nearly half of U.S. adults and remains a leading cause of preventable emergency department (ED) visits, hospitalizations, and healthcare costs due to poor blood pressure (BP) control (Fryar et al., 2024; Mullins et al., 2019). Traditional care models often lack the continuous monitoring and timely intervention needed for effective chronic disease management. Remote Patient Monitoring (RPM) provides an innovative approach by delivering real-time BP data, enabling early clinical intervention, and encouraging patient engagement in self-management (Omboni et al., 2020).

This Doctor of Nursing Practice (DNP) project evaluated the effectiveness of an RPM intervention in reducing acute healthcare …

Improvements Upon Reprocessing Of Orthopedic Single-Use Instruments, Alyssa P. Nguyen

Master's Projects and Capstones

Internal Medline data for Hospital A, a level I academic trauma center, identified a quality gap due to improper segregation and underutilization of orthopedic single-use device reprocessing bins. The baseline reprocessing rate of 4% for orthopedic products results in missed sustainability opportunities, financial strain, and increased regulated waste. A proposed quality improvement intervention implemented updated communication strategies, visual management tools, and education modules to reinforce current reprocessing workflows and close knowledge gaps. Outcome measures include the percentage of SUDs collected for reprocessing, survey results on reprocessing awareness, and potential financial savings in Appendix I. Early data showed a 10% year-to-year …

Ai-Driven Biomarker Discovery & Progression Modeling For Precision Diagnosis Of Glaucoma, Cheng Huang

Computer Science and Engineering Theses and Dissertations

This dissertation presents a comprehensive study on the integration of artificial intelligence (AI) for glaucoma diagnosis and retinal image analysis. Leveraging multimodal imaging data including fundus photography, Optical Coherence Tomography Optical Coherence Tomography (OCT) and Optical Coherence Tomography Angiography (OCTA), the research develops a suite of deep learning frameworks designed to detect early glaucomatous changes with high precision, robustness, and interpretability. A series of novel architectures are introduced, spanning vessel segmentation networks, biomarker discovery pipelines, and multimodal fusion models, all designed to enhance diagnostic accuracy and generalizability across diverse populations. To facilitate reproducible and scalable ophthalmic AI research, this work …

Post-Pandemic Telebehavioral Health: Sustaining And Regulating Remote Mental Health Care As A Core Modality, Weiqiao Dong

Dartmouth College Master’s Theses

The United States continues to face a persistent mental health crisis after the COVID-19 pandemic, raising a policy question about the long-term role and regulation of telebehavioral health as a core modality of care. This thesis examines that question through a case study of New York State, an early center of the pandemic and a leader in telehealth policy reform.

Guided by the Health Policy Triangle framework, this thesis integrates longitudinal data from all 62 New York counties for 2010-2025 with a 2025 cross-sectional dataset covering 61 counties. Seventeen standardized indicators are organized into four dimensions: geographic, economic, demographic, and …

Cultural Tailoring Of Digital Nutrition Interventions: A Scoping Review Of Adaptation Strategies, Evaluation Methods, And Evidence Gaps, Wendy Liang

Master's Projects and Capstones

Background: Nutrition-related chronic diseases disproportionately affect culturally diverse populations, highlighting the need for effective and equitable interventions. Digital nutrition interventions have expanded rapidly due to their accessibility; however, the extent to which they incorporate and evaluate cultural tailoring remains unclear.

Research aim: This scoping review maps the existing evidence on culturally tailored digital nutrition interventions, describes cultural adaptation strategies used, examines methods used to evaluate cultural appropriateness, and identifies gaps for future research and public health practice.

Methods: A scoping review was conducted following the PRISMA-ScR guidelines.

Findings: Culturally tailored digital nutrition interventions generally improved participant engagement, acceptability, and dietary …

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 …

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 …

A Quality Improvement Approach To Reducing Chronic Obstructive Pulmonary Disease Readmissions, Florwisse Rubio

All Doctor of Nursing Practice (DNP) Scholarly Projects

Problem:

The problem identified at the project site is that care transitions for patients with COPD lack standardized discharge processes, leading to inconsistent education, limited follow-up, and poor coordination of care.

Aim of the Project:

The primary aim was to improve patient outcomes by reducing the 19.6% 30-day readmissions among older adults diagnosed with COPD at the selected project site by implementing a standardized discharge intervention over 12 weeks, measuring progress, and ensuring appropriate workflow. The initiative of this project sought to foster a sense of proper continuity of care through timely follow-up, interprofessional communication among patients and providers, and …

Factors Influencing Patient Recall For Follow-Up In The Multi-Stage Deployment Of Medical Intelligent Screening Systems, Wenjie Chen

Dissertations and Theses Collection (Open Access)

With the deep integration of artificial intelligence (AI) technology in the healthcare sector, intelligent screening systems have achieved significant breakthroughs in predictive accuracy; however, they commonly face a management challenge in clinical implementation: accurate early warnings but limited patient recall. To address this ineffective technological empowerment issue in practice, this study proposes a theoretical framework featuringbidirectional interactions between "technological empowerment" and"relational empowerment" based on empowerment theory to systematicallyinvestigate the dynamic evolution mechanisms and boundary conditions of patient recall willingness under multi-stage, cross-departmental deployment of medical intelligent screening systems. Using a leading municipal hospital as the primary experimental setting, the study …

Building The Foundation For Equitable Diabetes Education: Examining Trust And Digital Access In Rural And Unreserved Population, Niasia Hazelton Smalls

MUSC Theses and Dissertations

Disparities in patient portal use undermine equitable chronic disease management, particularly for adults with diabetes in rural and historically underserved communities. This explanatory sequential mixed-methods study examined the associations among trust in the healthcare system and patient portal use among U.S. adults, using nationally representative data from the Health Information National Trends Survey (HINTS) 2023 (N = 3,711), supplemented by semi-structured interviews with frontline healthcare providers. Bivariate analyses revealed that adults with diabetes reported lower trust (83% vs. 86%, p = 0.003) and lower portal use (62% vs. 66%, p = 0.014) compared to those without a diagnosis. Multivariate logistic …

The Effects Of Administration Policies On Patient Care Quality And Healthcare Service Costs, Rajveer Kaur

Electronic Theses, Projects, and Dissertations

This study examines how administrative policies in U.S. healthcare systems affect patient care quality and service costs. It addresses a gap by analyzing the combined effects of policy, leadership, and technology on both clinical outcomes and financial performance. Using a qualitative descriptive approach guided by the PRISMA protocol, the study systematically identified and analyzed eighteen peer-reviewed articles. The findings show that value-based purchasing policies relate to improved patient safety indicators. Standardized clinical protocols and workforce competency initiatives strengthen care consistency and reduce hospital readmissions. The use of digital health technologies, such as telehealth and predictive analytics, helps optimize resources and …

What Is Transitional Care And Its Role In Reducing Readmissions, Decia Rodriguez

Electronic Theses, Projects, and Dissertations

Thirty-day readmissions to hospitals creates significant clinical and financial burdens in healthcare systems and worsens patient outcomes. This project reviews transitional care programs as strategic interventions to minimize preventable readmission with a specific focus on pharmacist-led medication reconciliation. Due to the extensive literature review, this work proves that structured transitional care is effective in closing the gaps between acute hospital care and home-based recovery because it coordinates medication management, patient education, and follow-up care. As it has been shown, pharmacists are in a central position to minimize medication errors and enhance compliance, especially in chronic patients such as those with …

Towards Dementia-Inclusive Digital Text-Based Health Information: A Multi-Method Investigation Of Cognitive And Affective Accessibility, Margi Engineer

All Dissertations

This dissertation examines the accessibility, readability, emotional tone, and trustworthiness of digital, text‑based dementia information and investigates how older adults with and without dementia cognitively and affectively engage with such content. It further explores the potential of generative AI to improve dementia information delivery through the development of a domain‑specific retrieval‑augmented generation (RAG) large language model (LLM) chatbot designed to deliver accessible, stigma‑free information. The dissertation comprises four studies using complementary quantitative and qualitative methods. Study I conducts a large‑scale content analysis of 300 medical articles, 35 websites, and 50 blogs, applying readability metrics, LIWC‑based linguistic and sentiment analysis, and …

Assessing Current Telehealth Mobile Applications In The United States: Accessibility, Privacy, And Care Delivery, Rosemary K. Frugé

Honors Theses

Telehealth has improved patient access by reducing barriers to convenient, cost-effective, and quality health care. Telehealth mobile applications allow individuals to remotely access services through smartphone-based platforms. The purpose of this study was to evaluate leading telehealth applications available in the United States, analyzing key factors that influence platform selection, including cost, prescribing and diagnostic capabilities, user feedback, and data privacy practices. Applications were identified through keyword-based searches of major app stores using the term “telehealth,” and each app was systematically evaluated using predefined criteria. Findings highlight variability across platforms in pricing transparency, service offerings, and privacy disclosures, despite generally …

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 …

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 …

Bridging The Language Gap: The Impact Of In-Person Versus Remote Interpreter Services On Medication Adherence And Patient Safety In Adult Spanish-Speaking Patients, Ashley E. Alarcon Martinez, Jocelyn N. Lopez Maradiaga

Nursing | Senior Theses

Background: Significant health inequities are caused by language barriers between patients and health care staff, resulting in miscommunication among adult Hispanic patients with low English proficiency, reducing medication adherence, impairing patient safety, and raising the possibility of medical errors. To address this issue, interpreter services, both in-person and remote translation, have been introduced in healthcare settings to enhance communication. Objective: The purpose of this study is to investigate the differences in patient safety and medication adherence between in-person and remote translation services for adult Hispanic individuals with limited English proficiency in healthcare settings. Methods: The proposed research involves five local …

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 …

Tele-Psychiatry Adoption And Its Effect On Rural Mental Health Service Availability, Anna Heineman, Kaylee Canterbury, Taylor Carpenter

Theses, Dissertations and Capstones

Purpose of study: This study examined the association between tele-psychiatry implementation and mental health service availability in rural healthcare settings. The analysis compared tele-psychiatry to traditional in-person psychiatric care among rural populations, focusing on access and utilization outcomes, including time to first psychiatric appointment, number of completed visits, and appointment no-show rates.

Methods: A qualitative literature review following a systematic approach was conducted using peer-reviewed articles published between 2016-2026. Databases included PubMed, ProQuest Health, CINAHL, Journal of Medical Internet Research, and the National Library of Medicine, with Google Scholar used as a supplemental source. The review followed PRISMA …

Ambient Listening: Using Artificial Intelligence To Transcribe Provider Office Visits, Odia Russette

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Background: Electronic health record (EHR) documentation burdens contribute to increased “pajama time” or after–hours charting, reduced job satisfaction, and provider burnout. Provider burnout leads to provider and critical access point losses. Ambient–listening artificial intelligence (AI) technologies have emerged as a possible tool to reduce charting burdens; however, evidence from outpatient wellness settings remains limited.

Local Problem: At an urban adult wellness clinic in Texas with limited resources for completing tasks, in-clinic and after-hours “pajama time” charting burdens contributed to provider fatigue, job dissatisfaction, and burnout.

Methods: A quality improvement (QI) project using the Plan-Do-Study-Act (PDSA) framework implemented an AI ambient …

Striving To Thrive: Balancing Digital Health Innovation And Patient Protection Under Thailand’S Legal Framework, Thidarat Liamsomboon

Theses and Dissertations

The digitalization of health care has fundamentally transformed how health care services are accessed, delivered, and experienced worldwide. Telemedicine, artificial intelligence–assisted diagnostics, electronic health records, wearables, and mobile health applications are no longer novelties, but have become a substantial part of a modern clinical practice. Although these technologies offer great prospects for making health care more accessible, reducing administrative burden, and improving the quality of care, they also pose significant legal and regulatory challenges. The rate of technological development has far outpaced Thailand’s existing legal frameworks for regulating medical practice, professional accountability, and patient protection. This regulatory “lag” has generated …

Developing An Educational Session And Epic-Based Tools To Help Nurses Provide Culturally Sensitive Care To Their Muslim Patients, Laila Albutmeh

Nursing | Senior Theses

Background: Islam is currently the fastest growing religion in the world and the chances of nurses having a Muslim patient is exceptionally high yet many nurses lack the knowledge and resources on how to accurately provide culturally sensitive care to Muslim patients. Hospitals lack educational sessions/training as well as Epic tools to help nurses provide culturally sensitive care to Muslim patients which leads to a knowledge deficit in cultural sensitivity of Islamic beliefs, values, and practices. Purpose: This thesis paper proposes a research design for a nurse education/training program on Islamic beliefs, values, and practices along with an implementation of …