Medicine and Health Sciences Commons^™

Primary Care Organizational Readiness And Implementation Climate For Task Sharing Of Tele-Mental Health Interventions, Frances Chu, Brenna Renn, Erin Abu-Rish Blakeney, Sean Munson, Oleg Zaslavsky

Articles, Abstracts, and Reports

Primary Care Organizational Readiness and Implementation Climate for Task Sharing of Tele-Mental Health Interventions

Chu, F.; Renn, B.; Blakeney, E.; Munson, S.; Zaskavsky, O. Providence Swedish/University of Washington, Seattle, WA

Purpose: To examine perceptions of organizational readiness and implementation climate for task sharing of telemental health (TMH) interventions from primary care healthcare professionals by levels of behavioral health integration (BHI) and roles. Background/Significance: BHI clinics have positive impact on patient outcomes. Task sharing, a strategy used to address shortages of behavioral/mental health (BMH) specialists, with TMH interventions adds complexity. Method: The mixed methods study surveyed 151 healthcare professionals with Organizational …

Navigating The Future Of Healthcare: Big Data's Impetus For Inpatient Quality Enhancement, Lakyn Hyre, Brian Cox, Alberto Coustasse

Management Faculty Research

This study aims to explore the impact of big data utilization on quality improvement in inpatient facilities, specifically assessing its influence on readmission rates, patient outcomes, and potential cost savings. This study utilized mixed methodologies with a literature review complemented by semi-structured interviews to gain perspectives about big data utilization on quality improvement in inpatient facilities. The Marshall University Institutional Review Board (IRB) approved the interview. This study’s conceptual framework (Figure 1) was adapted from the research framework of Yao, Chu, and Li (Yao et al., 2010). The framework displays the reasoning of and approach to big data and machine …

Revolutionizing Revenue Cycle Management: Ai's Impact On Healthcare Organizations, Rachel Pennington, Alberto Coustasse

Management Faculty Research

Revenue Cycle Management (RCM) stands as a cornerstone in healthcare, overseeing the intricate processes involved in capturing, managing, and collecting revenue generated from patient services. However, the landscape of RCM has long been plagued by inefficiencies. These inefficiencies underscore the urgency for innovative approaches, and the integration of AI emerges as a promising solution to streamline processes and optimize revenue capture.

The Design Of A Quality Improvement Dashboard For Monitoring Spinal Cord And Column Injuries, Zahra Azadmanjir, Mohsen Sadeghi-Naini, Mohammad Dashtkoohi, Maziar Moradi-Lakeh, Jalil Arabkheradmand, James Harrop, Vafa Rahimi-Movaghar

Department of Neurosurgery Faculty Papers

Background: Interactive dashboards are a powerful tool for dynamic visualization and monitoring of patient performance and serve as a useful to for optimal decision-making. The National Spinal Column and Cord Injury Registry of Iran (NSCIR-IR) was designed to efficiently display and broadcast important patient care data. This has been achieved through an electronic dashboard display (graph and visual displays), rather than traditional static paper reports (text). Objectives: The objective of this study was to design and develop an electronic visual dashboard as a display system to monitor the quality of care in the NSCIR-IR collaborating centers. Methods: The indicators chosen …

Improving Emergency Department Belongings Inventory Electronic Medical Record Documentation, Shanekia Garrett, Stefanie Lai, Jairo Pagan, Wendy Lu, Katie Whitehead

Articles, Abstracts, and Reports

No abstract provided.

“The Role Of Artificial Intelligence In The Pharmaceutical Field: Enhancing Therapeutic Outcomes And Repurposing Through The Acceleration Of Drug Discovery”, Tonivie Valeriano

Belmont University Research Symposium (BURS)

The development of new drugs and their repurposing have considerably benefited the field of pharmacy. It will not only affect the pharmaceutical sector but also its diverse facets of health will be significantly influenced. Yet, the development of innovative medical treatments necessitated a lengthy period of expectancy for human survival. Individual survival rates were decreasing over time before the development of the treatment. Humanity has a limited lifespan. Moreover, investments in new drugs often go unnoticed because of the prolonged and complex process of drug research and development (R&D). In the future of pharmacy, artificial intelligence will continue to have …

Mental Health Provider Shortage In Rural Communities, Barrow N. Tabe

Doctoral Dissertations and Projects

This study examined the dire issue of mental health provider shortages in rural communities in the South, exploring the unique challenges faced by rural communities in the United States. Rural communities often struggle with limited access to mental health resources, resulting in disparities in care and exacerbating the burden on individuals facing mental health challenges. This study examines existing literature, highlighting the complex nature of the problem, including geographical, socioeconomic, cultural factors, and biblical perspectives that contribute to the shortage of mental health professionals in rural communities. Instrumental challenges identified include the shortage of credentialed mental professionals, lack of healthcare …

Exploring The Design Of Low-End Technology To Increase Patient Connectivity To Electronic Health Records, Rens Kievit, Abdullahi Abubakar Kawu, Mirjam Van Reisen, Dympna O'Sullivan, Lucy Hederman

Conference papers

The tracking of the vitals of patients with long term health problems is essential for clinicians to determine proper care. Using Patient Generated Health Data (PGHD) communicated remotely allows patients to be monitored without requiring frequent hospital visits. Issues might arise when the communication of data digitally is difficult or impossible due to a lack of access to internet or a low level of digital literacy as is the case in many African countries. The VODAN-Africa project (van Reisen et al., 2021) started in 2020 and has greatly increased the capabilities of clinics in different countries in both Africa and …

A Building Block Approach To Implement A Telehealth Clinic And Improve Primary Care Access In The Philippines: A Large-Scale Pilot Project, Annalicia Pickering, Wardah Rafaqat, Adi Balk, Milton Chen, Limuel Abrogena, Shuhan He, Mary Showstark, Alexander Davis, Aidan Chen, Jarone Lee

Ateneo School of Medicine and Public Health Publications

A limited number of healthcare workers and cost constraints encumber primary care access in the Philippines. To test telehealth as a low-cost and effective solution, a large-scale digital health clinic was implemented in the selected urban and rural communities. In collaboration with local authorities, our pilot telemedicine clinic was implemented for 3 days in January 2023. Patients were registered, and their vitals were assessed before they were seen by a remote US-based licensed physician who provided treatment rec-ommendations. Medical devices with real-time streaming capabilities, such as electronic stethoscopes, were utilized to enhance remote examinations. A total of 322 patients were …

Enhancing Patient Understanding: The Impact Of Educational Videos On Ophthalmology Visits, Anna Zhao

Medical Student Research Symposium

A major component of effective patient-centered care is the patient’s understanding of their health condition and treatments. Increased knowledge of medical conditions can positively modify health behaviors, such as more participation in cancer screening and better adherence to medications. However, the readability of educational materials often does not match the patients’ reading abilities. Instead, educational videos, which have gained prominence with the emergence of tele-visits following COVID-19, have shown promise in being beneficial to patients with lower literacy levels. For ocular pathologies, early identification and care are key in preventing vision loss. Tele-education in ophthalmology could increase patient awareness of …

Navigating Through Chaos, Hoong Chuin Lau

Asian Management Insights

How AI and optimisation models can strengthen supply chain resilience.

January / February / March 2024, Randy Curry, Cindy Brooks

RURAL ROCKS

This is the January, February, and March issue of Rural Rocks from the SWOSU College of Pharmacy.

Eyris: From The Lab To The Market, Steven Miller, David Gomulya, Mahima Rao-Kachroo

Asian Management Insights

Singapore’s trailblazer AI algorithm for detecting diabetes-related eye diseases. Can you imagine getting the results of your eye disease screening within minutes rather than days? This capability is what EyRIS, a Singapore-based start-up that uses the AI (Artificial Intelligence)-driven Singapore Eye LEsion Analyzer (SELENA+) algorithm to screen for diabetes-related eye diseases, set out to productise and commercialise.

From Emergency Rooms To Boardrooms, Tow Keang Lim

Asian Management Insights

How doctors think can improve business decision-making.

Transiam: Aggregating Multi-Modal Visual Features With Locality For Medical Image Segmentation, Xuejian Li, Shiqiang Ma, Junhai Xu, Jijun Tang, Shengfeng He, Fei Guo

Research Collection School Of Computing and Information Systems

Automatic segmentation of medical images plays an important role in the diagnosis of diseases. On single-modal data, convolutional neural networks have demonstrated satisfactory performance. However, multi-modal data encompasses a greater amount of information rather than single-modal data. Multi-modal data can be effectively used to improve the segmentation accuracy of regions of interest by analyzing both spatial and temporal information. In this study, we propose a dual-path segmentation model for multi-modal medical images, named TranSiam. Taking into account that there is a significant diversity between the different modalities, TranSiam employs two parallel CNNs to extract the features which are specific to …

Relationship Between On-Demand Telehealth Visits And Emergency Department And Hospital Surge During The Covid-19 Pandemic, B. H. Slovis, Xin Ji, Anna Marie Chang, John C. Kairys, Judd Hollander

Department of Emergency Medicine Faculty Papers

OBJECTIVES: The relationship between COVID-19-related telehealth calls could be used to predict emergency department visits and hospital surges 3 days later potentially facilitating staffing adjustments in advance of patient arrivals. The purpose of this research was to study the temporal association between frequencies of on demand telehealth calls and emergency department surges during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic.

METHODS: This cohort study examined patients who self-initiated synchronous audio-video on-demand telehealth calls between January 1, 2020 and June 30, 2022, and compared these to emergency department arrivals. The exposure in question was a synchronous audio-video on-demand telehealth …

Regulatory Issues In Electronic Health Records For Adolescent Hiv Research: Strategies And Lessons Learned, Sara Ali Shaw Green, Sung-Jae Lee, Samantha Chahin, Meardith Pooler-Burgess, Monique Green-Jones, Sitaji Gurung, Angulique Y. Outlaw, Sylvie Naar

Publications and Research

Background: Electronic health records (EHRs) are a cost-effective approach to provide the necessary foundations for clinical trial research. The ability to use EHRs in real-world clinical settings allows for pragmatic approaches to intervention studies with the emerging adult HIV population within these settings; however, the regulatory components related to the use of EHR data in multisite clinical trials poses unique challenges that researchers may find themselves unprepared to address, which may result in delays in study implementation and adversely impact study timelines, and risk noncompliance with established guidance.

Objective: As part of the larger Adolescent Trials Network (ATN) for HIV/AIDS …

Public Acceptance Of Using Artificial Intelligence-Assisted Weight Management Apps In High-Income Southeast Asian Adults With Overweight And Obesity: A Cross-Sectional Study, Han Shi Jocelyn Chew, Palakorn Achananuparp, Palakorn Achananuparp, Nicholas W. S. Chew, Yip Han Chin, Yujia Gao, Bok Yan Jimmy So, Asim Shabbir, Ee-Peng Lim, Kee Yuan Ngiam

Research Collection School Of Computing and Information Systems

Introduction: With in increase in interest to incorporate artificial intelligence (AI) into weight management programs, we aimed to examine user perceptions of AI-based mobile apps for weight management in adults with overweight and obesity. Methods: 280 participants were recruited between May and November 2022. Participants completed a questionnaire on sociodemographic profiles, Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), and Self-Regulation of Eating Behavior Questionnaire. Structural equation modeling was performed using R. Model fit was tested using maximum-likelihood generalized unweighted least squares. Associations between influencing factors were analyzed using correlation and linear regression. Results: 271 participant responses were …

Comparing Cognitive Tests And Smartphone-Based Assessment In 2 Us Community-Based Cohorts., Ileana De Anda-Duran, Preeti Sunderaraman, Edward Searls, Shirine Moukaled, Xuanyi Jin, Zachary Popp, Cody Karjadi, Phillip H Hwang, Huitong Ding, Sherral Devine, Ludy C Shih, Spencer Low, Honghuang Lin, Vijaya B Kolachalama, Lydia Bazzano, David J Libon, Rhoda Au

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

BACKGROUND: Smartphone-based cognitive assessments have emerged as promising tools, bridging gaps in accessibility and reducing bias in Alzheimer disease and related dementia research. However, their congruence with traditional neuropsychological tests and usefulness in diverse cohorts remain underexplored.

METHODS AND RESULTS: A total of 406 FHS (Framingham Heart Study) and 59 BHS (Bogalusa Heart Study) participants with traditional neuropsychological tests and digital assessments using the Defense Automated Neurocognitive Assessment (DANA) smartphone protocol were included. Regression models investigated associations between DANA task digital measures and a neuropsychological global cognitive

CONCLUSIONS: Our findings demonstrate that smartphone-based cognitive assessments exhibit concurrent validity with a …

From Static Web To Metaverse: Reinventing Medical Education In The Post-Pandemic Era, Kadriye O. Lewis, Vitaliy Popov, Syeda Sadia Fatima

Department of Biological & Biomedical Sciences

The World Wide Web and the advancement of computer technology in the 1960s and 1990s respectively set the ground for a substantial and simultaneous change in many facets of our life, including medicine, health care, and medical education. The traditional didactic approach has shifted towards more dynamic and interactive methods, leveraging technologies such as simulation tools, virtual reality, and online platforms. At the forefront is the remarkable evolution that has revolutionized how medical knowledge is accessed, disseminated, and integrated into pedagogical practices. The COVID-19 pandemic also led to rapid and large-scale adoption of e-learning and digital resources in medical education …

Remote Multi-Person Heart Rate Monitoring With Smart Speakers: Overcoming Separation Constraint, Ngoc Doan Thu Tran, Dong Ma, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Heart rate is a key vital sign that can be used to understand an individual’s health condition. Recently, remote sensing techniques, especially acoustic-based sensing, have received increasing attention for their ability to non-invasively detect heart rate via commercial mobile devices such as smartphones and smart speakers. However, due to signal interference, existing methods have primarily focused on monitoring a single user and required a large separation between them when monitoring multiple people. These limitations hinder many common use cases such as couples sharing the same bed or two or more people located in close proximity. In this paper, we present …

The Role Of Technology In Online Health Communities: A Study Of Information-Seeking Behavior, Leann Boyce, Ahasan Harun, Gayle Prybutok, Victor R. Prybutok

Information Systems Faculty Publications and Presentations

This study significantly contributes to both theory and practice by providing valuable insights into the role and value of healthcare in the context of online health communities. This study highlights the increasing dependence of patients and their families on online sources for health information and the potential of technology to support individuals with health information needs. This study develops a theoretical framework by analyzing data from a cross-sectional survey using partial least squares structural equation modeling and multi-group and importance-performance map analysis. The findings of this study identify the most beneficial technology-related issues, like ease of site navigation and interaction …

Chatting For Change: Insights Into And Directions For Using Online Peer Support Groups To Interrupt Prolonged Workplace Sitting, Ekaterina Uetova, Lucy Hederman, Dympna O'Sullivan, Robert J. Ross, Marily Oppezzo

Conference papers

Prolonged sedentary behavior and insufficient physical activity increase the risk for non-communicable diseases. Online peer support groups, driven by the widespread use of mobile phones and social media, have gained popularity among people seeking health condition management advice. This position paper examines the role of online peer support groups within a behaviour change intervention, MOV’D (Move Often eVery Day), which promotes physical activity and reduces sedentary behavior in the workplace. We conducted a thematic analysis of post-study interviews from two randomized control trials to identify the benefits and limitations of online peer support groups and provide recommendations for improvement. We …

Infusing Machine Learning And Computational Linguistics Into Clinical Notes, Funke V. Alabi, Onyeka Omose, Omotomilola Jegede

Mathematics & Statistics Faculty Publications

Entering free-form text notes into Electronic Health Records (EHR) systems takes a lot of time from clinicians. A large portion of this paper work is viewed as a burden, which cuts into the amount of time doctors spend with patients and increases the risk of burnout. We will see how machine learning and computational linguistics can be infused in the processing of taking clinical notes. We are presenting a new language modeling task that predicts the content of notes conditioned on historical data from a patient's medical record, such as patient demographics, lab results, medications, and previous notes, with the …