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Implementation Of A Cognitive Aide To Guide The Use Of Non-Invasive Hemodynamic Monitoring For Goal-Directed Fluid Therapy During Cesarean Deliveries, Ashley George, Ashley Walbert

Doctor of Nurse Anesthesia Practice (DNAP) Manuscripts

Postpartum hemorrhage (PPH) remains a leading cause of maternal morbidity and mortality, with delayed recognition contributing to adverse outcomes during cesarean delivery. In cesarean deliveries, traditional intermittent non-invasive blood pressure monitoring may not detect early hemodynamic instability, creating a need for more structured interpretation of continuous hemodynamic data. This Doctor of Nurse Anesthesia Practice quality improvement project implemented a cognitive aid to support anesthesia providers using the Edwards EV1000/ClearSight platform during goal-directed fluid therapy. A pre–post implementation design using provider surveys evaluated feasibility, usability, confidence, and perceived impact. By organizing continuous values such as stroke volume, cardiac output, and systemic …

A Staff Nurse-Led Clinical Instructional Competency Program To Improve Clinical Judgement In Undergraduate Nursing Students: A Quality Improvement Initiative, Shana Skeffrey

Doctor of Nursing Practice (DNP) Manuscripts

There is increasing concern that new graduate nurses are leaving bedside roles early in favor of less stressful positions due to rising patient acuity and heightened organizational expectations, increasing the effects of the nursing shortage (McClosky et al., 2022; AACN, 2024). A standardized clinical experience, combined with fair and consistent access to skill application in the hospital setting can support a collaborative approach for undergraduate nursing students. This quality improvement project is aimed to implement a Staff Nurse-Led Clinical Instructional Competency Program that will provide a structured opportunity for clinical instructors to help fill the gap in preparing undergraduate nurses …

A Quality Improvement Initiative Utilizing Help To Reduce Delirium, Improve Patient Outcomes, And Provide Age Friendly Care For Patients 65 Years Of Age Or Older With Modifiable Delirium Risk Factors., Maggie Blake

Doctor of Nursing Practice (DNP) Manuscripts

Background: Delirium, an acute change in cognition, occurs in 21% of hospitalized patients and is linked to increased length of stay, readmissions, and increased mortality (Shen et al., 2024). In older adults, delirium prevalence increases and is linked to poor outcomes that inhibit patients' health care goals (Shen et al., 2024). Despite the well-published harms of delirium and standardized prevention measures, delirium prevention is not prioritized. Methods: HELP, originally the Hospital Elder Life Program, now preferred to be known as HELP, is a standardized delirium prevention model specifically designed to address the unique needs of hospitalized older adult patients. HELP …

Improving Chlamydia Testing For Females Through Universal Screening In Outpatient Pediatric Primary Care: An Adolescent Quality Improvement Initiative, Christina Howard

Doctor of Nursing Practice (DNP) Manuscripts

Chlamydia is the most common sexually transmitted infection in the United States in adolescents and young adults (Dutra & Lazenby, 2023). Per Smith, Reirden, and Nyquist (2022), adolescents and young adults between the ages of 15 and 24 account for more than 60% of new chlamydia infections each year. Testing for chlamydia is not standardized, and it is estimated that only 50% of those who qualify receive a yearly screening American Sexual Health Association. (2021). If outpatient testing and treatment is not improved these asymptomatic cases will be missed, infections in general will increase, and reinfections may occur leading to …

Enhancing New Graduate Nurse Confidence And Patient Safety Through Clinical Development Coach Integration, Megan T. Kramer

Doctor of Nursing Practice (DNP) Manuscripts

The transition from student to professional nurse is a critical developmental stage often marked by heightened stress, emotional exhaustion, and uncertainty in clinical judgment. These challenges frequently contribute to lower confidence levels, increased anxiety, and higher risks for patient safety events among new graduate nurses. This program evaluation project aims to assess the effectiveness of integrating a Clinical Development Coach (CDC) role to enhance new graduate nurse’s confidence, comfort, and overall competence while reducing patient safety incidents on a trauma/surgical inpatient unit in a medical center on the East coast. The CDC role is a structured mentorship and resource position, …

Implementation Of A Deteriorating Patient Simulation For New Graduate Nurses To Improve Clinical Judgment: A Quality Improvement Project, Kasey Mundell

Doctor of Nursing Practice (DNP) Manuscripts

New graduate nurses (NGNs) often have trouble recognizing and responding to patient deterioration because of limited clinical judgment and confidence during the transition to practice. This quality improvement project evaluated the implementation of a high-fidelity deteriorating patient simulation within a new graduate nurse orientation program at a Level I trauma center. Guided by the Plan-Do-Study-Act framework and the International Nursing Association for Clinical Simulation and Learning (INACSL) Standards of Best Practice, the simulation focused on the assessment and management of a patient experiencing pulmonary embolism. Eight NGNs participated in the simulation and completed the Attitudes Toward Recognizing Early and Noticeable …

From Novice To Competent: Enhancing Orientation And Readiness For Post-Anesthesia Care Nurses, Gerri Y. Young

Doctor of Nursing Practice (DNP) Manuscripts

Post-anesthesia care unit (PACU) nurses are responsible for managing complex postoperative patients requiring advanced clinical judgment, airway management, hemodynamic monitoring, and rapid recognition of complications. Many nurses transition into the PACU without formal perianesthesia education, resulting in variability in orientation practices, competency validation, and preparedness for independent practice. At a military treatment facility (MTF) in Mississippi, 78% of newly assigned PACU nurses had only one to two years of medical-surgical experience, and a standardized orientation program was not available.

This quality improvement project aimed to implement and evaluate a standardized, evidence-based PACU orientation program designed to improve nurse knowledge, confidence, …

Fast Mr Imaging: Reducing Sedation And Improving Patient Experience, Hajir Aljumaily

Radiologic Sciences

Purpose To examine the impact of fast magnetic resonance (MR) protocols on sedation requirements, patient tolerance, workflow efficiency, and diagnostic accuracy in musculoskeletal and brain imaging.

Method An integrative literature review was conducted using PubMed, CINAHL, and Google Scholar to identify peer-reviewed, original research articles published between 2019 and 2026. Studies were selected for relevance, human subjects, and outcomes related to sedation, patient experience, or diagnostic effectiveness.

Results Fast MR protocols were consistently associated with reduced sedation use, improved patient comfort, and increased exam completion rates. Workflow efficiency improved due to shorter scan times. Although minor reductions in image quality …

Disengagement And Reconnection: Investigating The Role Of Purpose And Identity Seeking Across Career Stages In Healthcare, Charmel Renee Jeffery

Radiologic Sciences

Purpose To examine the generational purpose gap in healthcare by identifying the psychological and environmental factors underlying early-career disengagement and late-career reconnection.

Method An integrative literature review was conducted using four academic databases. An artificial intelligence (AI)-assisted thematic synthesis was applied to extract and organize findings within a standardized analytic matrix. To ensure accuracy and rigor, all AI-generated outputs were validated against the original source data.

Results Two primary themes emerged. Early-career healthcare workers commonly experienced disengagement associated with destiny beliefs, while later-career professionals demonstrated renewed purpose and resilience despite ongoing stressors.

Discussion The findings revealed a pronounced generational divide …

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 …

Mr-Linac Technology, Katherine Orellana

Radiologic Sciences

Purpose To examine the clinical advantages of magnetic resonance-guided linear accelerator (MR-Linac) technology in radiation therapy, with a focus on treatment accuracy, adaptive planning, and patient outcomes.

Method A literature review was conducted using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies published between 2022 and 2026 were included if they addressed the clinical advantages of MR-Linac technology. Findings were synthesized using thematic analysis.

Results Three primary themes emerged: (a) superior soft-tissue visualization improved tumor delineation and treatment accuracy; (b) daily adaptive treatment planning and real-time tumor tracking enhanced precision by accounting …

Impact Of Music On Patient Comfort During Mr Scans: A Literature Review, He Yan

Radiologic Sciences

Purpose To investigate the influence of auditory stimuli on patient comfort levels during magnetic resonance (MR) imaging, with particular emphasis on indicators of distress, duration of patient positioning, and utilization of emergency signaling devices.

Method An integrative literature review was undertaken utilizing peer-reviewed research articles sourced from journals within the fields of radiology, music therapy, and clinical practice. A comprehensive search was conducted across databases such as PubMed, ScienceDirect, SpringerLink, and Oxford Academic employing keywords including MR anxiety, music therapy, and patient comfort.

Results The body of literature consistently indicated that auditory stimuli significantly mitigate patient anxiety and distress in …

Psychosocial Experiences Of Secondary School Students Living With Sickle Cell Disease While In School In Lagos State, Nigeria, Toluwalope Yetunde Onuwe

Walden Dissertations and Doctoral Studies

Sickle cell disease (SCD) is a lifelong genetic condition significantly impacting the physical, emotional, and social health of those affected. Nigeria has one of the highest global burdens of SCD, yet there is limited research on the psychosocial experiences of secondary school students living with SCD in educational settings. This qualitative study explored these experiences among students in Lagos State, Nigeria. Using the social ecological model and interpreted through the social model of disability, the study examined how school environments, educational practices, and institutional support influenced students' psychosocial well-being and perceived health. Twenty secondary school students participated in 4 in-person …

Improving Recognition And Communication Of Early Patient Condition Changes Through An Evidence-Based Staff Education Program, Raymond Mwanje

Walden Dissertations and Doctoral Studies

This doctoral project is a staff education project aimed at enhancing recognition and communication of early changes in patients' conditions in a long-term care rehabilitation environment. Delayed recognition of patient deterioration is a major challenge in nursing practice, as subtle changes in a patient's condition may go unnoticed, leading to delayed intervention, avoidable complications, and unnecessary hospital transfers. Poor communication among staff can also hinder the escalation of care, impacting patient safety and quality of care. There is evidence that structured communication strategies and education interventions can help enhance communication between clinicians and aid earlier detection of patient deterioration. Resolving …

Kindergarten Teachers’ Challenges Embedding Play-Based Learning In A Standards-Based Curriculum, Anna Catalan

Walden Dissertations and Doctoral Studies

The problem addressed in this study was that kindergarten teachers in a Western United States elementary school were challenged by standards that have become heavily focused on teaching academic skills at a younger age, instead of teaching with developmentally appropriate practices that allow for play-based learning (PBL). Framed by Vygotsky’s theory of PBL, the purpose of this basic qualitative study was to explore what challenges local kindergarten teachers had when embedding PBL in a standards-based curriculum. Data were collected through 15 semistructured interviews with Kindergarten teachers who had at least 2 years' experience embedding PBL in instruction. Using thematic analysis …

English Language Arts Remedial Teachers’ Perspectives On Strategies To Close The Academic Achievement Gap Of Minority High School Students, Barbara Williams

Walden Dissertations and Doctoral Studies

The problem that was addressed throughout this study is that 53% of minority students do not reach proficiency on the English Language Arts (ELA) portion of the Florida Assessment of Student Thinking test compared to the 42% of other student populations at Grover High School (GHS, a pseudonym), a large and diverse high school, despite targeted school improvement interventions each school year. Grounded in Ladson-Billings’s culturally relevant pedagogy, the purpose of this basic qualitative study was to investigate ELA remedial teachers’ perspectives on reading strategies and instructional planning tools that might help minority students close the academic achievement gap. Semistructured …

Clinical Practice Guideline For A Capstone‑To‑Residency Transition Program, Rebecca Ginika Chinonso

Walden Dissertations and Doctoral Studies

The transition from student nurse to professional practice remains a vulnerable period marked by role ambiguity, stress, and early turnover. At a large medical center, the lack of a structured bridge between the final capstone experience and the residency program contributed to inconsistent onboarding, reduced confidence, and diminished resilience among new graduates. Addressing this gap is essential for strengthening retention, supporting workforce stability, and improving patient outcomes within nursing practice. An evidence‑based clinical practice guideline (CPG) outlining best‑practice recommendations for a new graduate transition program from capstone to residency was developed for the facility. The practice‑focused question asked whether the …

Staff Education On Improving Staff Knowledge Of Medication Adherence In An Outpatient Psychiatric Facility, Okechukwu Chidiadi

Walden Dissertations and Doctoral Studies

This project was a staff education initiative designed to improve staff knowledge of medication adherence at an adult psychiatric outpatient clinic. Addressing this matter is critical because it directly impacts the quality of patient care. The practice focus question was: Among psychiatric mental health staff in a behavioral health facility, what is the impact of a staff educational program on teaching medication adherence to patients on the staff’s knowledge? The purpose of this staff education project was to improve staff knowledge of medication adherence by equipping them with the tools and strategies needed to help patients manage their treatment plans …

Effective Leadership Strategies To Retain For-Profit Education Employees After A Leadership Change, Kimberly Keene

Walden Dissertations and Doctoral Studies

Ineffective leadership transitions in for profit higher education erode employee morale, trust, and retention. Higher education business leaders recognize that ineffective leadership transitions can contribute to employee disengagement, reduced organizational commitment, and increased turnover, undermining institutional stability, workforce continuity, and organizational performance. Grounded in transformational leadership theory, the purpose of this qualitative pragmatic inquiry was to identify and explore the effective leadership strategies used by for-profit education institution leaders to retain key employees after a change in leadership. The participants were 10 leaders employed at for-profit higher education institutions in the southern United States who had successfully implemented leadership strategies …

Dialogic Communication Ethics As A Hopeful Response To Artificial Intelligence, Kristen Haldeman

Electronic Theses and Dissertations

Within the past five years, a new technology has dominated modern culture: artificial intelligence. With a multiplicity of ways to respond to this new environment, this dissertation situates a response to artificial intelligence by combining the media ecology and communication ethics perspectives. Media ecology explores historical roots and biases of technology to learn about their influence of humanity. A dialogic communication ethics seeks to find an opening for hope to emerge. Hope, grounded in the works of Jacques Ellul and the Christian tradition, offers a new rhetorical perspective by shifting focus away from technology and to our neighbor.

Development Of Minimalist Trifunctional Building Blocks For Chemical Biology Probe Synthesis, Luke E. Bohrer

Electronic Theses and Dissertations

The completion of the Human Genome Project in 2003 generated expectations that genomic information would accelerate the discovery of new protein drug targets and FDA-approved therapies. However, many small-molecule drug candidates continue to fail in clinical trials, and much of the human proteome remains undercharacterized in terms of structure, function, and disease relevance. Chemical tools are therefore essential for defining protein function, mapping protein interactions, and identifying disease-associated molecular mechanisms. Among these tools, small-molecule chemical probes provide a powerful strategy for connecting biological activity with target identification, functional analysis, and the development of effective therapies.

This dissertation describes the development …

Enhancing Cancer Diagnosis And Treatment Planning Through Multi-Modal Imaging Techniques: A Literature Review, Ngan Kim Le

Radiologic Sciences

Purpose To examine how combining magnetic resonance (MR), computed tomography (CT), and positron emission tomography (PET) enhances clinical outcomes in complex or metastatic cancers, focusing on diagnostic performance, staging accuracy, and effects on treatment decisions.

Method Data were extracted and analyzed using a thematic synthesis approach for this literature review. Key variables included study design, sample size, cancer type, imaging modalities used, and reported diagnostic outcomes such as sensitivity, specificity, and accuracy.

Results The integration of multiple imaging modalities enhanced diagnostic performance, improved differentiation between tumor recurrence and posttreatment changes, and increased detection of occult metastatic disease. Advanced imaging approaches, …

Wip: Developing A Generative Ai Autoethnography Assistant, Jyoti Suhag, Jennifer Drewyor, Kathryn Bugbee, Michelle Jarvie-Eggart, Lynn Albers, Leo Ureel

Michigan Tech Publications

Background: Generative AI (genAI) is transforming educational research, offering new possi-bilities for conducting interviews while local sandboxing minimizes data privacy risks and hallucinations. Purpose: This work-in-progress presents the AI Autoethnography Assistant, a project investigating how large language models (LLMs) can support autoethnographic interview design and execution. Approach: Using prompt engineering grounded in Interpretative Phenomenological Anal-ysis, paraphrasing techniques, and structured follow-up questions, we developed protocols that incorporate po-sitionality and prompt reflection on origin stories and pivotal life moments. Outcomes: Conversations conclude at the user’s discretion, with the AI generating a thematic summary. We tested refined prompts across four platforms (Gemini, Claude, …

Fragberta: A Fragment-Aware Molecular Representation Model With Sequential Attachment-Based Fragment Embeddings, Neerav Kaushal, Ajay M.N.V. Penmatsa

Michigan Tech Publications

Automated exploration of chemical space through machine learning has become a central strategy in modern drug discovery, where the ability to learn transferable molecular representations directly impacts predictive modeling performance. Recent advances in chemical language models have primarily relied on atom-level string encodings such as SMILES or SELFIES, treating molecules as sequences of individual atoms or characters. However, medicinal chemistry reasoning is often fragment-centric, emphasizing scaffolds, functional groups, and modular substructures rather than isolated atoms. In this study, we introduce FragBERTa, a molecular fragment-aware transformer-based representation language model pretrained using masked language modeling on Sequential Attachment-based Fragment Embedding (SAFE) representations. …

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 Mr-Linac Technology On Prostate Cancer Treatment Outcomes, Anhdiep P. Tran

Radiologic Sciences

Purpose To evaluate the impact of magnetic resonance-guided linear accelerator (MR-Linac) technology on treatment precision, clinical outcomes, and operational challenges in prostate cancer radiotherapy.

Method A systematic literature review was conducted using PubMed, Scopus, and Google Scholar to identify peer-reviewed studies published between 2018 and 2026. Eligible studies evaluated MR-Linac technology for prostate cancer and reported outcomes related to treatment precision, toxicity, workflow, and clinical effectiveness.

Results Three primary themes emerged: (a) improved treatment precision through superior soft tissue visualization, real-time target tracking, and adaptive radiotherapy; (b) improved clinical outcomes characterized by reduced radiation exposure to organs at risk, decreased …

Gadolinium Deposition Concerns In Magnetic Resonance Imaging, Emily Tran

Radiologic Sciences

Purpose To examine how concerns about gadolinium deposition have influenced the use of macrocyclic versus linear contrast agents in magnetic resonance (MR) practice.

Method A structured literature review was conducted using AI-assisted research tools and academic databases to identify recent peer-reviewed original research articles related to gadolinium deposition and contrast agent use patterns in MR. Only studies published between 2020 and 2026 were included.

Results Recent research confirmed that gadolinium can accumulate in human tissues following contrast-enhanced MR examinations. Multiple studies demonstrated that linear gadolinium-based contrast agents are associated with greater levels of tissue retention compared with macrocyclic agents due …

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 …