Health and Medical Administration Commons^™

Ethical Aspects Of Utilising Artificial Intelligence In Clinical Settings, Jeffrey Byrnes, Michael Robinson

Philosophy Faculty Articles and Research

In response to recent proposals to utilize artificial intelligence (AI) to automate ethics consultations in healthcare, we raise two main problems for the prospect of having healthcare professionals rely on AI-driven programs to provide ethical guidance in clinical matters. The first cause for concern is that, because these programs would effectively function like black boxes, this approach seems to preclude the kind of transparency that would allow clinical staff to explain and justify treatment decisions to patients, fellow caregivers, and those tasked with providing oversight. The other main problem is that the kind of authority that would need to be …

Transparency And Authority Concerns With Using Ai To Make Ethical Recommendations In Clinical Settings, Jeffrey Byrnes, Michael Robinson

Philosophy Faculty Articles and Research

In response to recent proposals to utilize artificial intelligence (AI) to automate ethics consultations in healthcare, we raise two main problems for the prospect of having healthcare professionals rely on AI-driven programs to provide ethical guidance in clinical matters. The first cause for concern is that, because these programs would effectively function like black boxes, this approach seems to preclude the kind of transparency that would allow clinical staff to explain and justify treatment decisions to patients, fellow caregivers, and those tasked with providing oversight. The other main problem is that the kind of authority that would need to be …

M3t-Lm: A Multi-Modal Multi-Task Learning Model For Jointly Predicting Patient Length Of Stay And Mortality, Junde Chen, Qing Li, Feng Liu, Yuxin Wen

Engineering Faculty Articles and Research

Ensuring accurate predictions of inpatient length of stay (LoS) and mortality rates is essential for enhancing hospital service efficiency, particularly in light of the constraints posed by limited healthcare resources. Integrative analysis of heterogeneous clinic record data from different sources can hold great promise for improving the prognosis and diagnosis level of LoS and mortality. Currently, most existing studies solely focus on single data modality or tend to single-task learning, i.e., training LoS and mortality tasks separately. This limits the utilization of available multi-modal data and prevents the sharing of feature representations that could capture correlations between different tasks, ultimately …

An Integrated Theoretical Socio-Technical Framework For Implementing Service Robots’ Integration In Healthcare, Sujatha Alla

Engineering Management & Systems Engineering Theses & Dissertations

Healthcare workers, either clinical or non-clinical, are obligated to serve patients. However, lack of a sufficient number of professionals leads to burnout, severe stress, and, consequently, decreased quality of services. In this context, very few countries have been successful in employing service robots to perform dull, dirty, and/or dangerous tasks related to patient wellbeing/healthcare, while most countries are still skeptical about it. As robotics advances, there is an opportunity for healthcare to take advantage of this technology to reduce personnel workload and to reduce the possibility of exposure to contagious pathogens. However, healthcare is a vulnerable environment and requires critical …

Supervised Classification Modeling On Louisiana Medicaid Data: A Comparative Study, Yead Rahman

Master's Theses

This thesis systematically optimizes and compares state-of-the-art supervised classification models for Louisiana Medicaid data targeting clinical services, COVID-19 infection, and tobacco use. These target variables are critically important as they represent key health outcomes and behaviors among Medicaid enrollees in Louisiana, a population often characterized by poverty and limited access to education. This study applies advanced machine learning techniques to identify the best model for multinomial and binary classification tasks. These include models such as Logistic Regression, XGBoost, AdaBoost, Random Forest, Decision Tree, Artificial Neural Networks, and Naïve Bayes. Extensive tuning of the hyperparameters and optimization of each classifier were …

Digital Scribes: A Possible Solution For Provider Burnout By Reducing Provider Workload, Shannon Storley

Theses and Graduate Projects

Background: Provider burnout is continuing to be a massive problem for our healthcare industry. One major contributor to provider burnout is burdensome administrative tasks associated with documentation of electronic medical records (EMR). This review aims to uncover the applications for artificially intelligent digital scribes as a solution to reduce EMR documentation burden. Purpose: Provider burnout has shown to increase the incidence of major mistakes and decreased patient safety grades. Digital scribes could be a solution in reducing provider burnout by reducing the administrative burden of EMR documentation. Methods: A comprehensive literature review was conducted using articles from PubMed using search …

Physician-Patient Interactions In Online Healthcare Communities: The Effects Of Preconsultation On Service Delivery And Patient Satisfaction, Qian Tang, Anqi Zhao

Research Collection School Of Computing and Information Systems

Preconsultation by medical professionals is a common practice in offline healthcare services to improve consultation efficiency but is rarely adopted for online healthcare services. In a noteworthy departure from this trend, a Chinese online healthcare community (OHC) has instituted preconsultation by assistant physicians prior to online consultations. Using comprehensive service data from this OHC, this study scrutinizes the effects of preconsultation on online healthcare services from both the physician and patient perspectives. The findings reveal that preconsultation by the assistant physician can significantly increase the attending physician’s response speed, length, and provision of informational support, while maintaining a consistent level …

Benefit Of Medication Reconciliation Practices On Patient Health Outcomes In A Healthcare Setting, Helen Harris, David Petrulis, Lauren Trepp, Bryan Chong, Jillian Haas, David Chan, Laura Ellwein Fix

Biology and Medicine Through Mathematics Conference

No abstract provided.

A Systematic Review: Mirror Neurons & Schizophrenia, Yashesvi Sharma, Surajit Dey

Annual Research Symposium

This research project establishes a link between Mirror Neuron System (MNS) activity and this information's implications in treating and understanding schizophrenia, specifically, schizophrenic patients with negative symptoms.

Deep Learning Model For Personalized Prediction Of Positive Mrsa Culture Using Time-Series Electronic Health Records, Masayuki Nigo, Laila Rasmy, Bingyu Mao, Bijun Sai Kannadath, Ziqian Xie, Degui Zhi

Faculty, Staff and Student Publications

Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and mortality in hospitals. Rapid, accurate risk stratification of MRSA is crucial for optimizing antibiotic therapy. Our study introduced a deep learning model, PyTorch_EHR, which leverages electronic health record (EHR) time-series data, including wide-variety patient specific data, to predict MRSA culture positivity within two weeks. 8,164 MRSA and 22,393 non-MRSA patient events from Memorial Hermann Hospital System, Houston, Texas are used for model development. PyTorch_EHR outperforms logistic regression (LR) and light gradient boost machine (LGBM) models in accuracy (AUROC

Revolutionizing Denture Excellence: An Invigorating In-Vitro Exploration Of Organic Products In Prosthetic Rehabilitation, Nighila Ravindran, Sneha Joseph, Aswani Surya K

Annual Research Symposium

The denture base comes into contact with diverse substances in the oral cavity, acting as a reservoir for microorganisms like corynebacterium, streptococcus, lactobacillus, and candida. This colonization elevates the risk of complications such as denture stomatitis and candidiasis. Commercial denture cleaners have explored the use of natural ingredients, less commonly employed but offering various advantages. These ingredients aim to mitigate the potential issues associated with microbial colonization on denture surfaces, contributing to improved oral hygiene for denture wearers. The exploration of natural elements reflects a nuanced approach to denture care, considering both efficacy and less conventional alternatives.

Investigating Racial And Ethnic Healthcare Disparities In Screenable Ob/Gyn-Related Cancers, Lara Laughrey

Annual Research Symposium

This is a scoping review of peer-reviewed literature addressing healthcare inequity based on race and ethnicity with a specific focus on Ob/Gyn-related management and treatment of screenable cancers.

Assessment Of Emotional Intelligence Among Students In Dental College, Gowri Nandana S Final Year Student, Sudeep C. B Professor And Head Of The Department Of Public Health Dentistry

Annual Research Symposium

Over an extended period, the examination of intelligence predominantly centered on the adaptive deployment of cognitive abilities. In more recent times, scholars such as Gardner (1983) and Sternberg (1988) have proposed comprehensive frameworks for comprehending intelligence. Pioneering the concept of "emotional intelligence," Salovey and Mayer (1990) posited that emotional intelligence encompasses three distinct categories of adaptive capabilities: the evaluation and expression of emotions, the regulation of emotions, and the utilization of emotions in problem-solving. The objective is to evaluate emotional intelligence among dental students across various educational institutions.

Quality Of Life In Orthodontics, Claudia Eisenhuth, Gabriel Eisenhuth, Connor Schwartz, Amir Mohajeri, Man Hung, Tiffany Nelson, Ryann Glenn

Annual Research Symposium

Orthodontic treatment goes beyond mere cosmetic enhancement; it significantly impacts various aspects of an individual's quality of life. Beyond the physical benefits of improved oral function and prevention of dental issues, orthodontics also yields profound psychological benefits. Aligned teeth enhance self-confidence, reduce social anxiety, and contribute to better relationships and professional opportunities. Moreover, addressing dental concerns through orthodontic treatment reduces psychological distress and promotes overall happiness and satisfaction. Real-life case studies vividly illustrate the transformative effects of orthodontic interventions, emphasizing the importance of considering quality of life outcomes in dental care.

Exploring The Interconnected Role Of The Oral Microbiome And Periodontal Disease In The Development And Progression Of Oral Squamous Cell Carcinoma, Malak Al-Regib, Claudia M. Tellez Freitas

Annual Research Symposium

This comprehensive review explores the complex linkage among the oral microbiome, periodontal disease, and the onset and progression of oral squamous cell carcinoma (OSCC).

Success And Challenges Of Infrazygomatic Crest Implants In Orthodontics, Gauri Gill

Annual Research Symposium

Poster on success rates of mini implants used in the infrazygomatic region for orthodontic anchorage , as well as the factors that influence the success of the mini implant placed in IZC region.

Investigating The Role Of Chaos In Minimizing Tumor Growth, Maxwell Geiger

Annual Research Symposium

Chaos is a type of motion found in mathematical systems that is highly sensitive to initial conditions. While many biological systems described in literature have been analyzed for the presence of chaotic dynamics, there are still many that are yet to be discovered. The goal of this project is to reassess Itik and Banks’ discovery of chaotic behavior in their population dynamics model of cancer growth. Once chaotic behavior is confirmed, we want to investigate how chaos could possibly be controlled to minimize tumor growth and discover novel treatments for cancer patients.

A Pharmacist’S Central Role In Improving Hormonal Contraceptive Access, Aleese Smith, Urvi Patel, Alexandra Arledge, Josie Young, Erin Johanson

Annual Research Symposium

In 2019, the roles of Utah pharmacists grew with the implementation of a statewide standing order allowing prescribing abilities for hormonal contraceptives. With the rates of unplanned pregnancies in Utah up to 1 in every 5; pharmacists have a new role in birth control distribution. Pharmacists and pharmacy interns across the state of Utah are able to prescribe self-administered hormonal contraceptive medications including: oral pills, vaginal insertion medications, and birth control patches. Pharmacists are entrusted with the responsibility to evaluate the patient and their needs to ensure all women receiving birth control are educated about the risks and side effects …

The National Status Of Pharmacists’ Ability To Prescribe Hormonal Contraceptives, Aleese Smith, Urvi Patel, Alexandra Arledge, Josie Young, Erin Johanson

Annual Research Symposium

The scope of practice for pharmacists first expanded in California and Oregon with the ability to prescribe hormonal contraceptives to patients in their communities. Since 2016, over 33 states now allow for pharmacist prescribing of birth control in their pharmacy practice laws.

90% of Americans live within 5 miles of a retail pharmacy, making community pharmacies an accessible resource who may otherwise be unable to access contraceptives. The gap in care experienced by certain patient populations is now being filled by pharmacists with their ability to prescribe birth control.

Ligaplant: Recreating Natural From Artificial, Disha Kamavisdar

Annual Research Symposium

Missing teeth can be substituted by the use of the dental implants. The most widely used implants in the current scenario are the osseointegrated implants with various shortcomings and the most prominent one is the lack of the periodontal ligament. To overcome this, implants with periodontal ligaments can be procured and this can be possible by the application of the tissue engineering concept along with suitable implant material.

Application Of In-Silico Computational Biology Strategies To Demonstrate Mechanism Of Oral Cancer Cell Death By Natural Peptide, Dr Dominic Augustine

Annual Research Symposium

This research work is designed to identify biomolecules from Earthworm Coelomic Fluid (ECF) of Eudrilus Eugeniae (EE) that can inhibit oral cancer cells from proliferating. The study aims to construct a homology model of the 18 kDa protein from ECF of EE (18-ECFP) with molecular dynamics simulation (MDS) to enable its molecular docking with pro-apoptotic caspase receptors with determination of binding energy scores. The study also evaluates the anti-cancer potential of 18-ECFP on SCC-9 cells in vitro by wet lab techniques.

Pathogenic Implications Of Candidal Species In Both Oral Cancer And Oral Potentially Malignant Disorders - A Review, Dr Dominic Augustine, Sowmya Sv, Kuntala Mondal

Annual Research Symposium

Oral squamous cell carcinoma (OSCC) is the 6th most common cancer in worldwide. Cigarette smoking, alcohol consumption, and betel quid chewing are its major risk factors other factors that can lead to OSCC include excessive sun exposure, viral or fungal infection, poor nutrition, and poor oral hygiene. The carcinogenesis of OSCC occurs gradually and oral epithelial dysplasia is considered a potential histologic precursor of OSCC. Most OSCC cases are preceded by clinically evident oral potentially malignant disorders (OPMDs). The aim of this review is to correlate the association between Candida species and oral potentially malignant disorders and its possible mechanisms …

Immunohistochemical Expression Of Cyclin D1 In Dentigerous Cyst, Odontogenic Keratocyst And Unicystic Ameloblastoma- An In-Vitro Study, Kuntala Mondal, Sv Sowmya, Dominic Augustine

Annual Research Symposium

Cyclin D1, a G1 cyclin member, regulates the transition of the cell cycle from the G1 phase to the S phase. The uncontrolled and elevated expression of cyclin D1 has been associated with rapid growth, heightened proliferative activity and increased histologic aggressiveness. Unicystic ameloblastoma pertains to cystic lesions that present clinical, radiographic, or gross features akin to jaw cysts. Nevertheless, upon histological scrutiny, these lesions display a distinctive ameloblastomatous epithelium lining the cystic cavity, with or without luminal or mural proliferation. This cystic variant of tumor bears substantial resemblances to dentigerous cysts, and occasionally, both entities can become indistinguishable upon …

An Immunohistochemical Panel For The Accurate Differentiation Between Mucoepidermoid Carcinoma And Pleomorphic Adenoma, Kuntala Mondal, Sv Sowmya, Dominic Augustine

Annual Research Symposium

Salivary Gland Tumors (SGTs) are a diverse group of neoplasms, with a wide range of histological subtypes, some of which can exhibit overlapping features. Amongst this group of tumors, Pleomorphic Adenoma (PA) and Mucoepidermoid Carcinoma (MEC) stand out as prevalent entities originating from the salivary glands. The accurate differentiation between these two entities is crucial for treatment planning, as it influences decisions regarding the extent of surgical resection. Because of the overlapping histopathological features, it is difficult to differentiate these two lesions with the help of conventional Hematoxylin & Eosin (H& E). The evaluation of Immunohistochemical (IHC) markers holds pivotal …

Cheiloscopic Characteristics Detection And Pattern Classification By Machine Learning Technique, Dr Dominic Augustine, Sowmya Sv

Annual Research Symposium

Machine Learning (ML) is a field enhancing the rapid growth of technology. Though use of digital softwares for cheiloscopic investigations have been attempted with limited success, the use of ML based techniques are scarce and seldom have been employed in forensic odontology. The present study aimed to identify cheiloscopic patterns through machine learning based methods and to correlate the segmented patterns with age and gender of individuals.

Association Between Abo Blood Grouping And Odontometry: An Unexplored Evidence In Forensics, Dr Dominic Augustine, Sowmya Sv

Annual Research Symposium

Recent research has exhibited a strong association between ABO blood groups and susceptibility to diseases. Extraoral and intraoral hard tissue landmarks provide a stable and reliable record for odontological and anthropological analysis, forensic investigations and identification. The association between anthropometric indices and ABO blood grouping have been reported in the past, however, the association between ABO blood groups and odontometric indices is yet to be comprehensively explored. This study aimed to establish the correlation of ABO blood groups with odontometric indices and extraoral hard tissue landmarks for personnel identification.

Advanced Techniques For Tooth Pulp Rna Extraction In Forensic Investigations-A Systematic Review, Kuntala Mondal, Sv Sowmya, Dominic Augustine

Annual Research Symposium

Teeth are fundamental structures in a forensic context due to their high strength and specificity. It is challenging to obtain high quality RNA from pulpal tissues. It has been described that pulp RNA degradation could be an indicator of post-mortem interval. Researchers have been in the quest to develop optimal techniques for tooth RNA extraction. The systematic review aimed to determine the most reliable method of RNA extraction from dental tooth pulp for forensic investigations.

Assessment Of Micrometastasis In Lymph Nodes Of Oral Squamous Cell Carcinoma –Attaining Excellence Through Immunohistochemistry, Dr Dominic Augustine, Sowmya Sv, Kuntala Mondal

Annual Research Symposium

Cervical lymph node metastasis is the most important prognostic factor in Squamous Cell Carcinoma of Head and Neck (SCCHN). Lymph node prognostic determinants hold immense significance in influencing both patient’s survival outcomes and the propensity for recurrence. The current study aimed to evaluate the diagnostic accuracy of Cyclin D1 and Pan-CK for the detection of lymph node micrometastasis in oral squamous cell carcinoma tissue sections and re-evaluate the tumor staging.

Harm Reduction Measures In Substance Use Disorder (Sud), Kent Wood

Annual Research Symposium

This literature review aims to comprehensively analyze harm reduction strategies employed in addressing Substance Use Disorder (SUD). Focusing on key interventions such as fentanyl testing strips, naloxone distribution, syringe exchange programs, and methadone/buprenorphine clinics, the study seeks to evaluate the effectiveness of these approaches in reducing the associated harms of substance misuse.

Substance Use Disorder –The Role Of The Pharmacist, Mackenzie Cruzan

Annual Research Symposium

The study illuminates the pivotal role of community pharmacists as accessible healthcare providers, offering medication management, patient education, and preventive care services. Simultaneously, it explores the intricate responsibilities of inpatient pharmacists, emphasizing their involvement in therapeutic monitoring and collaboration with healthcare teams.