Health Information Technology Commons^™

Covid-19 Proactive Disease Management Using Covid Virtual Hospital In A Rural Community, Gandhari Loomis, Regina Rhodes, Ed Bujold, Golnosh Sharafsaleh, Ellen Collett, Mark Irwin, Elizabeth W. Staton, John M. Westfall

Journal of Patient-Centered Research and Reviews

Purpose: A community teaching hospital serving a rural population established an intensive “hospital at home” program for patients with COVID-19 utilizing disease risk stratification and pulse oximeter readings to dictate nurse and clinician contact. Herein, we report patient outcomes and provider experiences resulting from this “virtual” approach to triaging pandemic care.

Methods: COVID-19-positive patients appropriate for outpatient management were enrolled in our COVID Virtual Hospital (CVH). Patients received pulse oximeters and instructions for home monitoring of vital signs. CVH nurses contacted the patient within 12–48 hours. The primary care provider was alerted of the patient’s diagnosis and held a virtual …

How Technology May Be Used For Future Disease Predictions, Rich P. Manprisio

Journal of Applied Disciplines

Exasperated by the ongoing global pandemic, the healthcare system is grappling with the formidable challenges posed by proper and effective disease treatments. Nevertheless, amidst these growing difficulties, the healthcare field has witnessed significant technological advancements, offering promising avenues for disease prediction. Notably, a positive correlation exists between the utilization of technologies and their potential to serve as valuable tools for disease prediction. As our reliance on technological sophistication continues progressing, current research highlights numerous viable options to augment the healthcare sector. This review explores the current state of utilizing technologies and their potential to enhance healthcare, shedding light on their …

The Role Of Nf-Κb In Breast Cancer Initiation, Growth, Metastasis, And Resistance To Chemotherapy, Eluri Pavitra, Jyothsna Kancharla, Vivek Kumar Gupta, Kiran Prasad, Ju Yong Sung, Jigyeong Kim, Mandava Bhuvan Tej, Rino Choi, Jeong-Hwan Lee, Young-Kyu Han, Ganji Seeta Rama Raju, Lvks Bhaskar, Yun Suk Huh

Healthcare Informatics Graduate Publications

Breast cancer (BC) is the second most fatal disease and is the prime cause of cancer allied female deaths. BC is caused by aberrant tumor suppressor genes and oncogenes regulated by transcription factors (TFs) like NF-κB. NF-κB is a pro-inflammatory TF that crucially alters the expressions of various genes associated with inflammation, cell progression, metastasis, and apoptosis and modulates a network of genes that underlie tumorigenesis. Herein, we focus on NF-κB signaling pathways, its regulators, and the rationale for targeting NF-κB. This review also includes TFs that maintain NF-κB crosstalk and their roles in promoting angiogenesis and metastasis. In addition, …

Effectiveness Of An Electronic Health Record Embedded Evidence-Based Testing Algorithm For Clostridioides Difficile Infection., Sarah Marie Bishop

Doctor of Nursing Practice Papers

Background: Clostridioides difficile infection (CDI) commonly impacts hospitalized patients with almost half a million cases reported in the United States annually. C. difficile colonization is more common than infection. Identifying true infection versus colonization is critical to avoiding inappropriate treatment, unnecessary exposure to antibiotics, and increased cost of care. Implementation of evidenced-based CDI testing criteria can help reduce inappropriate CDI testing and avoid the misidentification of colonized patients as true CDI.

Purpose: The purpose of this project was to evaluate the effectiveness of an evidence-based electronic health record (EHR) integrated CDI testing algorithm in reducing inappropriate CDI testing among adult …

Future-Proofing Healthcare Systems, How Choon How

Asian Management Insights

This includes tackling climate change challenges too.

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 …

Singapore's Hospital To Home Program: Raising Patient Engagement Through Ai, John Abisheganaden, Kheng Hock Lee, Lian Leng Low, Eugene Shum, Han Leong Goh, Christine Gian Lee Ang, Andy Wee An Ta, Steven M. Miller

Research Collection School Of Computing and Information Systems

Because of their complex care needs, many elderly patients are discharged from hospitals only to be readmitted for multiple stays within the following twelve months. John Abisheganaden and his fellow authors describe Singapore’s Hospital to Home program, a community care initiative fueled by artificial intelligence.

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 …

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

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 …

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 …

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 …

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 …