Health Information Technology Commons^™

Non-Melanoma Skin Cancer Detection In The Age Of Advanced Technology: A Review, Haleigh Stafford, Jane Buell, Elizabeth Chiang, Uma Ramesh, Michael Migden, Priyadharsini Nagarajan, Moran Amit, Dan Yaniv

Faculty, Staff and Student Publications

Skin cancer is the most common cancer diagnosis in the United States, with approximately one in five Americans expected to be diagnosed within their lifetime. Non-melanoma skin cancer is the most prevalent type of skin cancer, and as cases rise globally, physicians need reliable tools for early detection. Artificial intelligence has gained substantial interest as a decision support tool in medicine, particularly in image analysis, where deep learning has proven to be an effective tool. Because specialties such as dermatology rely primarily on visual diagnoses, deep learning could have many diagnostic applications, including the diagnosis of skin cancer. Furthermore, with …

Age And Sex Effects On Superg Performance Are Consistent Across Internet Devices, Andrew Hooyman, Sidney Y. Schaefer

Physical Therapy Faculty Articles and Research

There have been recent advances in the application of online games that assess motor skill acquisition/learning and its relationship to age and biological sex, both of which are associated with dementia risk. While this online motor learning assessment (called Super G), along with other computer-based cognitive tests, was originally developed to be completed on a computer, many people (including older adults) have been shown to access the internet through a mobile device. Thus, to improve the generalizability of our online motor skill learning game, it must not only be compatible with mobile devices but also yield replicable effects of various …

Best Practice Considerations On The Assessment Of Robotic-Assisted Surgical Systems: Results From An International Consensus Expert Panel, J. Erskine, P. Abrishami, R. Charter, A. Cicchetti, R. Culbertson, E. Faria, J. C. Hiatt, J. Khan, G. Maddern, A. Patel, K. H. Rha, P. C. Shah, P. Sooriakumaran, S. Tackett, G. Turchetti, A. Chalkidou

School of Medicine Faculty Publications

Background: Health Technology Assessments (HTAs) of Robotic Assisted Surgery (RAS) face several challenges in assessing the value of robotic surgical platforms. As a result of using different assessment methods, previous HTAs have reached different conclusions when evaluating RAS. While the number of available systems and surgical procedures is rapidly growing, existing frameworks for assessing MedTech provide a starting point, but specific considerations are needed for HTAs of RAS to ensure consistent results. This work aimed to discuss different approaches and produce guidance on evaluating RAS. Methods: A consensus conference research methodology was adopted. A panel of 14 experts was assembled …

A New Method Using Deep Transfer Learning On Ecg To Predict The Response To Cardiac Resynchronization Therapy, Zhuo He, Hongjin Si, Xinwei Zhang, Qing-Hui Chen, Jiangang Zou, Weihua Zhou

Michigan Tech Publications

Background: Cardiac resynchronization therapy (CRT) has emerged as an effective treatment for heart failure patients with electrical dyssynchrony. However, accurately predicting which patients will respond to CRT remains a challenge. This study explores the application of deep transfer learning techniques to train a predictive model for CRT response. Methods: In this study, the short-time Fourier transform (STFT) technique was employed to transform ECG signals into two-dimensional images. A transfer learning approach was then applied on the MIT-BIT ECG database to pre-train a convolutional neural network (CNN) model. The model was fine-tuned to extract relevant features from the ECG images, and …

Lessons Learned From The Hospital To Home Community Care Program In Singapore And The Supporting Ai Multiple Readmissions Prediction Model, John Abisheganaden, Kheng Hock Lee, Lian Leng Low, Eugene Shum, Han Leong Goh, Christine Gia Lee Ang, Adny An Ta Wee, Steven M. Miller

Research Collection School Of Computing and Information Systems

In a prior practice and policy article published in Healthcare Science, we introduced the deployed application of an artificial intelligence (AI) model to predict longer-term inpatient readmissions to guide community care interventions for patients with complex conditions in the context of Singapore's Hospital to Home (H2H) program that has been operating since 2017. In this follow on practice and policy article, we further elaborate on Singapore's H2H program and care model, and its supporting AI model for multiple readmission prediction, in the following ways: (1) by providing updates on the AI and supporting information systems, (2) by reporting on customer …

Patient Engagement In A Multimodal Digital Phenotyping Study Of Opioid Use Disorder, Cynthia I. Campbell, Ching-Hua Chen, Sara R. Adams, Asma Asyyed, Ninad R. Athale, Monique B. Does, Saeed Hassanpour, Emily Hichborn, Melanie Jackson-Morris, Nicholas C. Jacobson, Heather K. Jones, David Kotz, Chantal A. Lambert-Harris, Zhiguo Li, Bethany Mcleman, Varun Mishra, Catherine Stanger, Geetha Subramaniam, Weiyi Wu, Christopher Zegers, Lisa A. Marsch

Dartmouth Scholarship

Background: Multiple digital data sources can capture moment-to-moment information to advance a robust understanding of opioid use disorder (OUD) behavior, ultimately creating a digital phenotype for each patient. This information can lead to individualized interventions to improve treatment for OUD.

Objective: The aim is to examine patient engagement with multiple digital phenotyping methods among patients receiving buprenorphine medication for OUD.

Methods: The study enrolled 65 patients receiving buprenorphine for OUD between June 2020 and January 2021 from 4 addiction medicine programs in an integrated health care delivery system in Northern California. Ecological momentary assessment (EMA), sensor data, and social media …

Predictive Ability Of A 3d Body Scanning Mobile Application For Metabolic Health Risk, Caleb Brandner

Master's Theses

There is an increasing prevalence of obesity within the US and rising rates of metabolic syndrome among those aged 20-39 concurrent with a decrease in the reception of primary care. Limitations to healthcare including access, cost, and availability, highlighting the need for simple, efficient, and accessible cardiometabolic health risk screening. Given the surge in smartphone ownership over the last decade, this study sought to determine the predictive ability of a mobile 3D-optical (3DO) body composition assessment application in determining metabolic health risk. A total of 62 participants (female: 36) underwent traditional anthropometric measurements, 3DO body scanning using a smartphone application, …

Dentistry And The Law: Accessing/Disclosing Prescription Information On Software Platforms, Dan Schulte Jd

The Journal of the Michigan Dental Association

This article discusses the access and disclosure of prescription information on software platforms like eScribe and MAPS. It highlights that HIPAA regulations govern such access, and as long as the information is obtained through business associate agreements and used for treatment purposes, specific patient consent may not be necessary. The article also mentions that the Michigan Automated Prescription System (MAPS) allows prescribers to access controlled substance prescription information without requiring patient consent.

Deep Single-Cell Rna-Seq Data Clustering With Graph Prototypical Contrastive Learning, Junseok Lee, Sungwon Kim, Dongmin Hyun, Namkyeong Lee, Yejin Kim, Chanyoung Park

Faculty, Staff and Student Publications

MOTIVATION: Single-cell RNA sequencing enables researchers to study cellular heterogeneity at single-cell level. To this end, identifying cell types of cells with clustering techniques becomes an important task for downstream analysis. However, challenges of scRNA-seq data such as pervasive dropout phenomena hinder obtaining robust clustering outputs. Although existing studies try to alleviate these problems, they fall short of fully leveraging the relationship information and mainly rely on reconstruction-based losses that highly depend on the data quality, which is sometimes noisy.

RESULTS: This work proposes a graph-based prototypical contrastive learning method, named scGPCL. Specifically, scGPCL encodes the cell representations using Graph …

May / June 2023, Randy Curry, Cindy Brooks

RURAL ROCKS

This is the May & June 2023 issue of Rural Rocks from the SWOSU College of Pharmacy.

Reviewing Internal Medicine Clerkship Grading Through A Proequity Lens: Results Of A National Survey, Cindy J Lai, Irene Alexandraki, Nadia Ismail, Diane Levine, Chavon Onumah, Amber T Pincavage, Jackcy Jacob, Melissa Osborn Jenkins, Amulya Nagarur, Michael Kisielewski, Nora Y Osman

Faculty and Staff Publications

Purpose: Equity in assessment and grading has become imperative across medical education. Although strategies to promote equity exist, there may be variable penetrance across institutions. The objectives of this study were to identify strategies internal medicine (IM) clerkship directors (CDs) use to reduce inequities in assessment and grading and explore IM CDs' perceptions of factors that impede or facilitate the implementation of these strategies.

Method: From October to December 2021, the Clerkship Directors in Internal Medicine of the Alliance for Academic Internal Medicine conducted its annual survey of IM core CDs at 137 U.S. and U.S. territory-based medical schools. This …

Development Of 5g-Based Remote Ultrasound Education: Current Status And Future Trends, Jiaojiao Ma, Xinying Jia, Guanghan Li, Dandan Guo, Xuehua Xi, Tongtong Zhou, Ji-Bin Liu, Bo Zhang

Department of Radiology Faculty Papers

The rapid advancement of 5G technology has opened new possibilities for remote ultrasound education, offering the potential to enhance training, real-time consultation, and quality control for primary ultrasound doctors. The 5G remote ultrasound education has the potential to revolutionize the way primary ultrasound doctors are trained and supported, ultimately leading to improved patient care and outcomes. By understanding the current status and development trends of this cutting-edge educational approach, the medical community can better prepare for and contribute to its ongoing evolution. Looking towards the future, the development trends in 5G remote ultrasound education are expected to revolve around continuous …

Tracing The Twenty-Year Evolution Of Developing Ai For Eye Screening In Singapore: A Master Chronology Of Sidrp, Selena+ And Eyris, Steven M. Miller

Research Collection School Of Computing and Information Systems

This working paper is entirely comprised of a timeline table that begins in 2002 and runs through mid-2023. Across these two decades, this timeline traces the evolutionary development of the following:

• The early Singapore R&D efforts to apply software-based image analysis algorithms and methods to analyse eye retina images for diabetic retinopathy and other eye diseases. This was based on a collaboration between the Singapore Eye Research Institute (SERI) and its parent organization, the Singapore National Eye Centre (SNEC), with faculty from the School of Computing at National University of Singapore.
• The establishment and operation of the Singapore Integrated Diabetic …

June 2023, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

June 3rd is World Bicycle Day

Bicycles, invented in Europe in the nineteenth century, presently number more than a billion, and are used all over the world. Cycling is a non-weight-bearing, low-impact exercise that is easy on the joints, great for aerobic fitness, fun for people of all ages, and is becoming one of the most popular activities for seniors.

Use Of Telemedicine For Postdischarge Assessment Of The Surgical Wound: International Cohort Study, And Systematic Review With Meta-Analysis, Nihr Global Health Research Unit On Global Surgery, Globalsurg Collaborative

Faculty, Staff and Student Publications

OBJECTIVE: This study aimed to determine whether remote wound reviews using telemedicine can be safely upscaled, and if standardized assessment tools are needed.

BACKGROUND: Surgical site infection (SSI) is the most common complication of surgery worldwide, and frequently occurs after hospital discharge. Evidence to support implementation of telemedicine during postoperative recovery will be an essential component of pandemic recovery.

METHODS: The primary outcome of this study was SSI reported up to 30 days after surgery (SSI), comparing rates reported using telemedicine (telephone and/or video assessment) to those with in-person review. The first part of this study analyzed primary data from …

Mantram For Mamas: A Pilot Study For Postpartum Women, Ritamarie Smedile

Dissertations

Objective: This pilot study launched an online Mantram Repetition Program (oMRP) using a virtual health portal that aimed to explore online portal accessibility, oMRP acceptance, and overall interface satisfaction among a sample of postpartum women.

Background: Postpartum depression remains one of the most common and severe childbirth complications, affecting more than 13% of women during the first three months after childbirth. Cognitive or behavioral talk therapy sessions and medication are the most frequently recommended treatments to alleviate symptoms. Although effective, women tend not to enroll or adhere to these modalities, suggesting they need alternative treatment plans. A possible alternative, mirroring …

A Hierarchical Decision Model To Evaluate Healthcare Organization's Readiness To Implement Clinical Decision Support Systems, Mohammed Oussama Laraichi

Dissertations and Theses

Clinical Decision Support Systems (CDSS) are essential tools for healthcare organizations as well as for healthcare providers to improve clinical care. However, successful implementation of CDSS can be challenging. Therefore, before implementing CDSS, it is crucial to assess the readiness of healthcare organizations to implement these tools.

Through a literature review, the first step of this research explores the concept of clinical decision support and CDSS, discussing their features, characteristics, and organizational hurdles to implementation. It also provides perspectives on CDSS adoption in the context of Information Systems and Health Technology. The review helped identify research gaps, objectives, and questions. …

Machine Learning-Based Aggression Detection In Children With Adhd Using Sensor-Based Physical Activity Monitoring, Catherine Park, Mohammad Dehghan Rouzi, Md Moin Uddin Atique, M G Finco, Ram Kinker Mishra, Griselda Barba-Villalobos, Emily Crossman, Chima Amushie, Jacqueline Nguyen, Chadi Calarge, Bijan Najafi

Center on Aging Staff Publications

Aggression in children is highly prevalent and can have devastating consequences, yet there is currently no objective method to track its frequency in daily life. This study aims to investigate the use of wearable-sensor-derived physical activity data and machine learning to objectively identify physical-aggressive incidents in children. Participants (n = 39) aged 7 to 16 years, with and without ADHD, wore a waist-worn activity monitor (ActiGraph, GT3X+) for up to one week, three times over 12 months, while demographic, anthropometric, and clinical data were collected. Machine learning techniques, specifically random forest, were used to analyze patterns that identify physical-aggressive incident …

Quehry: A Question Answering System To Query Electronic Health Records, Sarvesh Soni, Surabhi Datta, Kirk Roberts

Faculty, Staff and Student Publications

OBJECTIVE: We propose a system, quEHRy, to retrieve precise, interpretable answers to natural language questions from structured data in electronic health records (EHRs).

MATERIALS AND METHODS: We develop/synthesize the main components of quEHRy: concept normalization (MetaMap), time frame classification (new), semantic parsing (existing), visualization with question understanding (new), and query module for FHIR mapping/processing (new). We evaluate quEHRy on 2 clinical question answering (QA) datasets. We evaluate each component separately as well as holistically to gain deeper insights. We also conduct a thorough error analysis for a crucial subcomponent, medical concept normalization.

RESULTS: Using gold concepts, the precision of quEHRy …

Using Critical Incident Debriefing After Code Blue Events To Support Registered Nurses, David L. Boyd

Doctor of Nursing Practice (DNP) Projects

Using Critical Incident Debriefing after Code Blue Events to Support Registered Nurses

Section I: Abstract

Background: During a code blue event (CBE), the environment becomes highly stressful and intense. Nurses rapidly transition from performing life-saving procedures on their patients to carrying out their usual duties. Without proper debriefing, nurses cannot properly process their emotions leading to increased burnout and secondary traumatic stress (Stamm, 2010).

Local Problem: In 2021, the nurses at Providence Saint John’s Health Center (2021a) responded to 110 CBEs, a 43% increase from 2020. Without a process for critical incident debriefing (CID), these nurses were exposed to trauma …

Importance Of Prioritization Of Health Care Data Quality In Managed Care Leadership, Grace V. Crossette-Thambiah

Theses and Dissertations

As we progress towards the fourth industrial revolution, where emerging technologies such as artificial intelligence, machine learning, and the Internet of Things (IoT) are becoming more dominant, the quality of data becomes even more crucial. These technologies rely immensely on data to generate insights and make accurate predictions. Poor quality data can lead to incorrect or incomplete insights, resulting in erroneous decision-making that can have significant consequences. It is essential that data quality is addressed early in the development of these technologies to ensure that they operate successfully and provide accurate insights that can lead to positive outcomes. As such, …

Telehealth Clinical Appropriateness And Quality, Lulu Wang, Anthony Fabiano, Arjun K. Venkatesh, Nick Patel, Judd E. Hollander

Department of Emergency Medicine Faculty Papers

Contrary to common perception, telehealth is not simply a substitute for in-person care. With an array of modalities—live audio–video, asynchronous patient communication, and remote patient monitoring, to name a few—telehealth creates entirely new avenues of care delivery (Table 1). Although our current care model is reactive—relying on episodic visits to an office or hospital—telehealth allows us to be proactive, filling in the gaps to provide a continuum of care. Widespread uptake of telehealth has created fertile ground for long-overdue health system reform. In this study, we describe essential next steps: redefine telehealth clinical appropriateness, evolve payment models, provide necessary training, …

Feature Selection From Clinical Surveys Using Semantic Textual Similarity, Benjamin Warner

McKelvey School of Engineering Graduate Student Theses & Dissertations

Survey data collected from human subjects can contain a high number of features while having a comparatively low quantity of examples. Machine learning models that attempt to predict outcomes from survey data under these conditions can overfit and result in poor generalizability. One remedy to this issue is feature selection, which attempts to select an optimal subset of features to learn upon. A relatively unexplored source of information in the feature selection process is the usage of textual names of features, which may be semantically indicative of which features are relevant to a target outcome. The relationships between feature names …

A Global Federated Real-World Data And Analytics Platform For Research, Matvey B. Palchuk, Jack W. London, David Perez-Rey, Zuzanna J. Drebert, Jessamine P. Winer-Jones, Courtney N. Thompson, John Esposito, Brecht Claerhout

Kimmel Cancer Center Papers, Presentations, and Grand Rounds

Objective

This article describes a scalable, performant, sustainable global network of electronic health record data for biomedical and clinical research. Materials and Methods

TriNetX has created a technology platform characterized by a conservative security and governance model that facilitates collaboration and cooperation between industry participants, such as pharmaceutical companies and contract research organizations, and academic and community-based healthcare organizations (HCOs). HCOs participate on the network in return for access to a suite of analytics capabilities, large networks of de-identified data, and more sponsored trial opportunities. Industry participants provide the financial resources to support, expand, and improve the technology platform in …

Telehealth Experiences In Canadian Veterans: Associations, Strengths And Barriers To Care During The Covid-19 Pandemic., Deanna L Walker, M S Nouri, R A Plouffe, J J W Liu, T Le, C A Forchuk, D Gargala, K St Cyr, A Nazarov, Don Richardson

MacDonald Franklin OSI Research Centre

INTRODUCTION: Identifying barriers to care in veteran populations is critical, as veterans face increased social isolation, relationship strains and financial insecurities. For Canadian veterans experiencing barriers to accessing healthcare, telehealth may be a promising alternative with comparable effectiveness to in-person services; however, the potential benefits and limitations of telehealth require further examination to determine its long-term utility, and to inform health policy and planning. The goal of the present research was to identify predictors and barriers to telehealth usage in Canadian veterans in the context of the COVID-19 pandemic.

METHODS: Data were drawn from baseline data of a longitudinal survey …

Telehealth Integration In Primary Care, Ashley Simons

Doctor of Nursing Practice Projects

Telehealth has been proven to be a useful and integral tool in primary care settings. Carlinville Family Health Care Clinic, a rural health clinic, has the current ability to conduct Telehealth visits but is not currently doing so. They have several programs available that are equipped with Telehealth capabilities. The physicians cite lack of education on these programs and lack of a standard streamlined practice for which program to use or how to use it.

According to the physicians in this practice, along with their patients, the use of Telehealth has multiple advantages. Because visits in this clinical are usually …

The Ethics Of Governance Of Data Analytics In Healthcare, Andrew Harrington

Electronic Theses and Dissertations

Recent literature and studies on data governance usually focus on data ethics and governance from a specific country or industry, which has been mostly business, without considering the larger global impact that is affected. Data is a worldwide asset; thus, its implications and considerations should be viewed as such. Hence, this dissertation attempts to incorporate this view by weaving together topics in healthcare, such as the blending of finance and delivery, data governance at the micro and macro levels, data analytics in healthcare, ethics of AI and information management, and technology’s impact on end-of-life practices. Through highlighting these areas of …

Cbt Technology Implementation With Pediatric And Adolescent Populations, Tracey W. Kreipe, Heath Gage, Sandra Obiebi

Doctor of Nursing Practice Projects

Abstract

Digital therapy is a growing healthcare intervention improving limited access to specialty care for specific populations and geographic areas. Cognitive Behavioral Therapy (CBT) applications focus on treating anxiety and depression and assist pediatric and adolescent patients in learning behavioral techniques as they wait for 3-6 months or longer to see a mental health provider. Such delays are attributed to the national shortage of mental health practitioners and the further scarcity of fewer psychiatric providers in rural areas, causing the potential for adverse patient outcomes. The setting for this 8-week quality improvement project was a pediatric care clinic that sees …

A Clinician's Guide To 23andme: A Survey-Based Study On People’S Attitudes And Actions Towards Direct-To-Consumer Genetic Testing, Julia Kiffel, Rifke Anolik, Alexander Kowalski

Rowan-Virtua Research Day

Background: While direct-to-consumer (DTC) at-home genetic testing like 23andMe provides users with potentially valuable information about their genetics and health risks, consumers might not have the background or knowledge to fully comprehend and interpret the results. This concept is a pressing issue because of the rise in popularity of these DTC genetic tests.

Purpose: The goal of this study is to elucidate the beliefs and attitudes of 23andMe users and determine the relationship between their test results and likelihood for taking medical action. The results from the study will give clinicians and primary care providers (PCPs) insight into how to …

Challenges To Implementing Screening, Brief Intervention, And Referral To Treatment (Sbirt) For Substance Use In Primary Care Settings At Rowan-Virtua, Alissa Hochman, Kristy Straub, Nancy Chase, Samuel Damiri, Jenna Destefano, Allyson Distel, Sana Farhat

Rowan-Virtua Research Day

Background and Purpose: Implementing the SBIRT model for substance use in a primary care setting has many benefits including normalizing conversations about alcohol and other substance use into patients’ visits, thereby reducing harm, reducing consumption and its negative impact, and promoting system changes to overcome barriers to treatment access. The full scope of the current SBIRT project involves the recruitment, hiring, training, and integration of health educators in 9 primary care sites throughout South Jersey, as well as a project supervisor serving as implementation lead and liaison to medical and administrative staff at all 9 primary care sites. Initial barriers …