Health Information Technology Commons^™

July 2023, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

• Healthy 4th of July Dinner Recipes!
• July is National Blueberry Month!
• July is National Ice Cream Month!
• How to Stay Active in Warm Weather
• Fireworks

Effect Of Digital Health Interventions On Suicidal Prevention Among Adolescents - A Systematic Review Protocol, Ngangom Karorpati Chanu, Siva N, Ushapriya M, Shelmi Antony, Sarah Hulugoji, Baby S Nayak

Manipal Journal of Nursing and Health Sciences

Introduction: Suicide is a global health crisis, ranking as the fourth leading cause of death among adolescents. The adolescent phase is marked by numerous challenges, such as increased academic pressures, evolving relationships with parents and peers, and self-identity development. Many of these suicides are preventable, but a significant number of young adolescents succumb to suicide due to a lack of awareness and access to support. Digital media, like all other forms of media, can either strengthen or weaken suicide prevention initiatives. Methods: A systematic review will adhere to the PRISMA guidelines. The systematic review will include randomized control trials of …

Balancing Privacy And Flexibility Of Cloud-Based Personal Health Records Sharing System, Yudi Zhang, Fuchun Guo, Willy Susilo, Guomin Yang

Research Collection School Of Computing and Information Systems

The Internet of Things and cloud services have been widely adopted in many applications, and personal health records (PHR) can provide tailored medical care. The PHR data is usually stored on cloud servers for sharing. Weighted attribute-based encryption (ABE) is a practical and flexible technique to protect PHR data. Under a weighted ABE policy, the data user's attributes will be “scored”, if and only if the score reaches the threshold value, he/she can access the data. However, while this approach offers a flexible access policy, the data owners have difficulty controlling their privacy, especially sharing PHR data in collaborative e-health …

Candidemia In Patients With Cardiovascular Implantable Electronic Devices: Uncertainty In Management Based On Current International Guidelines, Supavit Chesdachai, Larry M Baddour, M Rizwan Sohail, Bharath Raj Palraj, Malini Madhavan, Hussam Tabaja, Madiha Fida, Douglas W Challener, Daniel C Desimone

Faculty, Staff and Students Publications

BACKGROUND: In contrast to bloodstream infection due to a variety of bacteria in patients with cardiovascular implantable electronic devices (CIED), there are limited data regarding candidemia and risk of CIED infection.

METHODS: All patients with candidemia and a CIED at Mayo Clinic Rochester between 2012 and 2019 were reviewed. Cardiovascular implantable electronic device infection was defined by (1) clinical signs of pocket site infection or (2) echocardiographic evidence of lead vegetations.

RESULTS: A total of 23 patients with candidemia had underlying CIED; 9 (39.1%) cases were community onset. None of the patients had pocket site infection. The duration between CIED …

Neurocomputing And Interfacing Digital Tasting System: Research, Design, And Evaluation, Amira J. Zaylaa, Ahmad El Hajj

BAU Journal - Science and Technology

The continuous evolution in computing and interfacing has been extended to develop multi-sensory experiences in many domains such as neurological, auditory, vision, and haptic domains. So far, only a few remarkable system approaches have been approved to be serving the taste sensation digitally. Although taste sensation is linked to the brain, there is a lack of optimal neurocomputing digital taste sensation systems. Our study provides a new neurocomputing method to digitally stimulate the sense of taste by electrical stimulation on the human tongue. We aim to link chemical stimulation and electrical stimulation in order to design an electronic interface for …

Ode To My Emr, Kelly T. Clouse

HCA Healthcare Journal of Medicine

Our EMRs should empower us, but unfortunately, they often bully and frustrate us. This poem is an expression of my frustration and disappointment with my own EMR. Creating it allowed me to channel my frustration and disappointment.

On The Respiratory Syncytial Virus Vaccine, Forest W. Arnold

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Telerehabilitation: An Updated View Of Practices, Cost Analysis, And Client Perceptions, Gokcen Akyurek, Selen Aydoner

Internet Journal of Allied Health Sciences and Practice

Telerehabilitation is an alternative and complementary rehabilitation method in which information and communication technologies are used to remove the distance between healthcare professionals and clients. The COVID-19 pandemic has led to the rapid adoption of telerehabilitation services, limiting the in-person rehabilitation services available all over the world. The restrictions that started with the COVID-19 pandemic also negatively affected rehabilitation services, clients, and healthcare professionals, and it was considered essential to provide services using telerehabilitation technology. Therefore, this review aimed to examine and inform health professionals' telerehabilitation practices such as remote assessment, evaluation, intervention, monitoring, supervision, education, and follow-up during the …

Understanding The Acceptability And Effect Of Psychiatric Care Via Telemedicine As An Alternative Option For Patients Living With Intellectual Disabilities In Group Homes, Brittany M. Johnson, Annabelle J. Rowland, Jacob D. Coeur, Maxwell C. Klapow, Jean F. Pointon

Cooper Rowan Medical Journal

Telemedicine has become a popular alternative to in-person clinic visits in the field of psychiatry, but few studies examine the impact of telemedicine mental healthcare provided to patients with intellectual disabilities living in group homes. Our study aims to fill this gap in the literature. A ten-question survey was designed to evaluate the effect of telemedicine services on access to care, quality of care, and patient and caregiver stress. This survey was distributed to caregivers of patients living in group homes who received care at the University of Alabama Medical Center. The majority of respondents indicated that telemedicine visits improved …

Barriers And Facilitators To Achieving Well-Being In Pediatric Providers, Whitney Marvin, Jillian Harvey, Natasha Ruth

Journal of Wellness

Introduction: Physician well-being has become increasingly important for health systems across the country due to the strong ties between quality, safety, and overall patient outcomes. Burnout has increased steadily and has been exacerbated by the COVID-19 pandemic. This study seeks to successfully identify factors that both enhance and detract from well-being in a cohort of pediatric faculty and advanced practice providers (APPs).

Methods: This study utilized a multimethod approach including surveys and a total of 8 semi-structured, virtual focus groups of pediatricians and advanced practice providers (orchestrated through Microsoft Teams) to understand perspectives on burnout and well-being. Each …

Impact Of Social Media And Multimedia Platforms: View From The Jacc: Case Reports Some Editors, Estefania Oliveros, Yevgeniy Brailovsky, Alessandro Beneduce, Hooman Bakshi, Edoardo Zancanaro, Indah Sukmawati, Mrinali Shetty, Gina Lundberg

Division of Cardiology Faculty Papers

No abstract provided.

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 …

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.