Words Of Advice: How To Write The Story Of A Patient For A Problem-Based Learning Session In A Healthcare Education Program,
2025
The Texas Medical Center Library
Words Of Advice: How To Write The Story Of A Patient For A Problem-Based Learning Session In A Healthcare Education Program, Andrew D Bergemann, Matthew Mcmillin, Miriah C Gillispie-Taylor, Gareth Gingell, R Taylor Surles, Rachel Wallace
Faculty and Staff Publications
Medical education is in the process of a pedagogical revolution. Traditional lectures are playing a progressively smaller role, with more of the content being delivered through student-centered small-group sessions. Problem-based learning (PBL) has become a centerpiece of education for many medical schools, in large part because of its focus on the learners identifying their own knowledge gaps. As junior scientists seek faculty appointments in institutions focused on healthcare education, they will find that skills in PBL are valued by the academic community. Among the necessary skills is the capability to lead efforts in PBL case writing. The cases, each of …
April 2025,
2025
Southwestern Oklahoma State University
April 2025, Swosu Bulldog Wellness Committee
SWOSU BULLDOG WELLNESS
Practice mindfulness!
Here are some strategies for a healthier Spring
April word search
Barriers To Telehealth Uptake And Use: A Scoping Review,
2025
Thomas Jefferson University
Barriers To Telehealth Uptake And Use: A Scoping Review, Mackenzie Kemp, Kristin L. Rising, Gregory Laynor, Jessica Miao, Brooke Worster, Anna Marie Chang, Andrew J. Monick, Amanda Guth, Tracy Esteves Camacho, Kiana Mcintosh, Grace Amadio, Lindsey Shughart, Tingann Hsiao, Amy E. Leader
Jefferson Center for Connected Care Faculty Papers
OBJECTIVES: We conducted a scoping review to identify barriers to telehealth use and uptake from the perspective of patient, provider, and system that were documented in the literature. In addition to identifying and categorizing the barriers, we aimed to assess how barriers differed for studies conducted during the COVID-19 pandemic, as well as how barriers differed between the United States vs internationally based studies.
MATERIALS AND METHODS: Comprehensive searches of the PubMed/MEDLINE, CINAHL, and Scopus databases conducted on December 29, 2021 yielded 17 887 results, with 11 221 potentially eligible documents after duplicates were removed. The team conducted an initial …
A New Member Benefit: The Talk Space Go App,
2025
General Dentist, Lansing, Michigan
A New Member Benefit: The Talk Space Go App, Lisa Knowles Dds
The Journal of the Michigan Dental Association
This article introduces TalkSpace Go, a new ADA member benefit providing mental health support for dentists. Dr. Lisa Knowles explains how the app offers private access to therapists, courses, and workshops to help manage professional stress and prevent burnout. The piece highlights that 82% of dentists experience clinical burnout symptoms and emphasizes the importance of prioritizing mental well-being. Knowles describes her personal experience with burnout and using the app alongside the ADA's Well-Being Index assessment tool. The article includes instructions for accessing both resources, which are free for ADA/MDA members.
Harnessing Sociodemographic And Anthropometric Insights To Predict Type 2 Diabetes Risk: A Machine Learning Approach,
2025
Departemen Biostatistik dan Ilmu Kependudukan Fakultas Kesehatan Masyarakat Universitas Indonesia
Harnessing Sociodemographic And Anthropometric Insights To Predict Type 2 Diabetes Risk: A Machine Learning Approach, Rico Kurniawan, Rezki Yunanda, Okky Assetya Pratiwi
Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan
The complexity of diabetes makes early diagnosis and effective management challenging for healthcare settings. This study developed and evaluated models using machine learning algorithms to predict the risk of diabetes. The data were primarily sourced from the Indonesia Family Life Survey (IFLS). Diabetes status was identified using A1c whole blood sample values (A1c WBS ³5.7%). Sociodemographic and anthropometric factors were set as predictors, most of which were significantly correlated with diabetes status. Discrete machine learning algorithms such as decision tree, k-nearest neighbors (KNN), random forest (RF), naïve Bayer, support vector machine (SVM), and neural network (MLP) were applied to construct …
Analisis Kepuasan Pengguna Simrs Pada Klaim Jkn Di Rsud Khidmat Sehat Afiat, Kota Depok Tahun 2023,
2025
Departmen Biostatistika dan Ilmu Kependudukan Fakultas Kesehatan Masyarakat Universitas Indonesia
Analisis Kepuasan Pengguna Simrs Pada Klaim Jkn Di Rsud Khidmat Sehat Afiat, Kota Depok Tahun 2023, Robiatul Adawiyah, R Sutiawan
Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan
Keberlangsungan klaim JKN di RSUD Khidmat Sehat Afiat Kota Depok sekurang-kurangnya harus didukung oleh SIMRS yang dapat diintegrasikan dengan E-Klaim INA-CBG’s dan V-Claim. Maka pada tahun 2019 SIMRS dilakukan integrasi dengan kedua sistem informasi tersebut guna meningkatkan keberhasilan klaim JKN. Namun, sejak SIMRS diintegrasi, hingga saat ini belum pernah dilakukan analisis. Padahal, E-Klaim INA-CBG’s dan V-Claim terus mengalami perubahan yang menjadikan banyaknya fitur yang belum tersedia pada SIMRS yang berujung membuat proses pengajuan klaim JKN menjadi terhambat. Desain penelitian ini menggunakan teori Delone dan McLean dengan jenis penelitian kuantitatif dan pendekatan cross-sectional. Pengambilan sampel menggunakan proportional stratified random sampling …
Peran Tempat Persalinan Dalam Inisiasi Menyusu Dini: Analisis Survei Demografi Dan Kesehatan Indonesia Tahun 2017,
2025
Fakultas Kesehatan Masyarakat, Universitas Indonesia
Peran Tempat Persalinan Dalam Inisiasi Menyusu Dini: Analisis Survei Demografi Dan Kesehatan Indonesia Tahun 2017, Siti Sunya Kumala, Besral Besral
Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan
Cakupan inisiasi menyusu dini (IMD) di Indonesia lebih rendah dibandingkan rata-rata ASEAN. Padahal cakupan persalinan di fasilitas kesehatan dan dibantu oleh tenaga kesehatan telah melampaui 70%. Penyedia layanan kesehatan menjadi faktor pendukung ibu untuk melakukan IMD. Penelitian ini bertujuan untuk mengetahui peran tempat persalinan dalam IMD di Indonesia. Penelitian dilakukan dengan desain potong lintang, dan menggunakan data Survei Demografi Kesehatan Indonesia tahun 2017. Sampel penelitian adalah wanita usia 15-49 tahun dari seluruh provinsi di Indonesia. Regresi logistik ganda dilakukan untuk menganalisis IMD dari berbagai tempat persalinan. Proporsi IMD pada tahun 2017 adalah 60,7%. Proporsi IMD paling banyak di poskesdes/polindes (72,8%), …
Vaccination As A Protective Factor Against Hospitalization For Sars-Cov-2 Infections: An Observational Study Using Surveillance Data,
2025
Program Studi Kesehatan Masyarakat Program Sarjana, Fakultas Ilmu Kesehatan Universitas Pembangunan Nasional Veteran Jakarta
Vaccination As A Protective Factor Against Hospitalization For Sars-Cov-2 Infections: An Observational Study Using Surveillance Data, Chandrayani Simanjorang, Kristin Mutiara Tarigan, Diva Anita Churiana Sudrajat, Rana Zahra Raniyah Wangsawinangun, Asy Syifa Anwari Zahra
Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan
Death due to SARS-CoV-2 generally occurs in patients requiring hospital care (hospitalization). However, it is still unclear whether vaccination acts as a protective factor against hospitalization in SARS-CoV-2 patients in Indonesia. This study examines the association between vaccination and hospitalization among SARS-CoV-2 patients. It employs a quantitative, cross-sectional design using secondary data from SARS-CoV-2 surveillance records at the Jakarta Health Agency (January–August 2021). Findings show that patients who received the 1st vaccine dose had a 0.34 times lower risk of hospitalization compared to unvaccinated individuals (aPOR=0.34; 95% CI=0.31–0.38). Those who received the 2nd dose had an even lower risk (aPOR=0.16; …
Factors Affecting Nurse Retention In A Private Healthcare System In Malaysia,
2025
KPJ Tawakkal KLSpecialist Hospital, 53000 Kuala Lumpur, Malaysia
Factors Affecting Nurse Retention In A Private Healthcare System In Malaysia, Zarin Ikmal Zan Mohd Zain, Annamma Kunjukunju, Govethamma Subramaniam, Nur Izzana Tajuddin
Jurnal Keperawatan Indonesia
Nurse retention has become increasingly challenging in the post-pandemic era, particularly for private hospitals. This study aimed to identify the significant predictors of nurse retention in selected private hospitals in Malaysia. A quantitative, descriptive, cross-sectional design was employed. A pre-validated, self-administered questionnaire, distributed via Google Forms, was used for data collection. The respondents included 532 registered nurses employed at three private hospitals in Malaysia. Data analysis was conducted using descriptive statistics and correlation studies, including Spearman’s rho and multiple regression analysis. Among the participants, 54% reported good job satisfaction, 27.37% expressed organizational commitment, 25.97% were satisfied with human resource practices, …
Video Animation: Improving Older Adults Patients Knowledge And Motivation Related To Hypertension Diet,
2025
Faculty of Public Health, Universitas Halu Oleo, Kendari 93132, Indonesia
Video Animation: Improving Older Adults Patients Knowledge And Motivation Related To Hypertension Diet, Gusti Ayu Kade Budiarti, Sri Susanty, Ruslan Madjid, Ramadhan Tosepu
Jurnal Keperawatan Indonesia
Hypertension is a dangerous medical condition that can increase the risk of heart, brain, and renal problems, among other issues. A balanced diet is an essential hypertension control intervention. This study seeks to examine the efficiency of employing animation media to explain the application of diets that prevent hypertension and boost the understanding and motivation of senior patients at Bahteramas Regional General Hospital. In both the control and intervention groups, a quantitative-quasi-experimental design was adopted, with pre-test and post-tests. Data was obtained via questionnaires from 92 respondents chosen using a purposive sampling approach, with 46 in the intervention group from …
Addressing Diabetic Retinopathy Prevalence In Low-Income Communities: Barriers To Quality Healthcare And Strategies For Equitable Treatment Access,
2025
University of South Dakota
Addressing Diabetic Retinopathy Prevalence In Low-Income Communities: Barriers To Quality Healthcare And Strategies For Equitable Treatment Access, Morkeia A. Mutchelknaus
Honors Thesis
Studies have shown a strong correlation between diabetes and individuals in low-income communities, which often lack access to equitable healthcare for a variety of reasons. This honors thesis will focus on diabetic retinopathy, its prevalence, prevention, and treatment strategies in both low- and high-income communities. A comprehensive literature review was conducted to define diabetic retinopathy, assess its prevalence, and review past and present approaches to its treatment and prevention. This paper aims to identify strategies to improve healthcare accessibility in low-income communities by analyzing current strategies in place to prevent and treat diabetic retinopathy and proposing potential solutions that will …
Assessment Of Nurses’ Knowledge Of Multiple Sclerosis In Morocco,
2025
Faculty of Sciences and Techniques, University Sultan Moulay Slimane, Béni Mellal 23000, Morocco | Higher Institute of Nursing Professions and Health Techniques, Béni Mellal 23000, Morocco
Assessment Of Nurses’ Knowledge Of Multiple Sclerosis In Morocco, Rachid Lotfi, Hind Bel Amgharia, Mourad Chikhaoui, Abdeslam El Kardoudi, Fatiha Chigr
Jurnal Keperawatan Indonesia
Nurses are essential in early detection, education, symptom management, treatment administration, and care coordination for patients with multiple sclerosis (MS). This role requires both theoretical and practical knowledge. This study evaluates the knowledge level among nurses regarding multiple sclerosis in Morocco. We conducted this cross- sectional study on 326 nurses in Morocco using a purposive sampling method, which involves selecting nursing specialties that have direct contact with patients with MS, aiming to target the most relevant professionals for the study. The data are collected using an anonymous questionnaire distributed individually to participants. We opted for multi- variable logistic regression models …
Resilience, Social Support, And Quality Of Life Among People Living With Hiv/Aids,
2025
Department of Medical Surgical Nursing, Faculty of Health Sciences, Universitas Muhammadiyah Surabaya, Surabaya 60113, Indonesia
Resilience, Social Support, And Quality Of Life Among People Living With Hiv/Aids, Firman Firman, Sri Yona, Agung Waluyo
Jurnal Keperawatan Indonesia
One of the most common challenges faced by people living with human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) is a low quality of life, particularly during the coronavirus disease 2019 (COVID-19) pandemic, as they are considered a vulnerable group. This study aimed to examine the relationship between resilience, social support, and quality of life among people living with HIV/AIDS during the pandemic. Conducted as a cross- sectional study, it involved 433 respondents. Data collection was carried out using a questionnaire, with Connor–Davidson Resilience Scale-25 (CD-RISC-25), Multidimensional Scale of Perceived Social Support (MSPSS), and World Health Organization Quality of Life–HIV Brief …
Evaluation Of The Use Of Structural Gamification-Based Applications By Users In Makassar City, Indonesia,
2025
Faculty of Nursing, Hasanuddin University, South Sulawesi 90245, Indonesia
Evaluation Of The Use Of Structural Gamification-Based Applications By Users In Makassar City, Indonesia, Andi Fitria Idham, Ade Putrawan, Firdi Athaya, Fitrah Ramadhan, Arnis Puspitha Rasyid
Jurnal Keperawatan Indonesia
Structural gamification is a trending concept in today’s application landscape that leverages various elements and features from game design for nongame contexts. This concept has become increasingly common in various health applications today, such as Lose It!, Fat Secret, and Google Fit. This study aims to evaluate respondents’ use of structural gamification- based health applications. The research method employed in this study is quantitative and descriptive, involving data collection through questionnaires administered from July 2023 to September 2023 in Makassar City, Indonesia. The research results indicate that 90% of the respondents appreciated the ease of access and attractive interface of …
Ransomware In Healthcare: Threats, Impacts, And Mitigation Strategies,
2025
Marshall University
Ransomware In Healthcare: Threats, Impacts, And Mitigation Strategies, Mackenzie Dotson, Kasi Gorli, Alberto Coustasse
Management Faculty Research
Excerpt: The growing digitalization of healthcare has exposed hospitals to significant cybersecurity threats, particularly ransomware attacks. The Health Sector Cybersecurity Coordination Center (HC3) reported that as of mid-2024, there were 730 cyber-attacks worldwide against healthcare institutions, with 530 targeting the U.S. (AHA, 2024). Half of these incidents involved ransomware, a type of malware that restricts access to critical data until a ransom is paid (HHS, 2021). Hospitals are attractive targets for cybercriminals due to their essential role in patient care. Cybercriminals exploit vulnerabilities in hospital networks, often causing severe operational and financial damage. Factors such as understaffed IT teams, outdated …
Smart Radiology: Using Artificial Intelligence For Better Imaging Outcomes,
2025
Marshall University
Smart Radiology: Using Artificial Intelligence For Better Imaging Outcomes, Jordan Watts, Jeffrey Larson, Kasi Gorli, Alberto Coustasse
Management Faculty Research
We hypothesize that the use of Artificial Intelligence (AI) in radiology improves the quality of care by increasing diagnostic accuracy, reducing interpretation time, and enhancing clinical workflow efficiency by minimizing imaging acquisition errors.
Patient Access As A Vehicle For Growth: Leveraging Technology & Stakeholder Engagement,
2025
Jefferson Health
Patient Access As A Vehicle For Growth: Leveraging Technology & Stakeholder Engagement, Celeste Gagliardi, Ryan Patterson, Scott Guttridge
Jefferson Hospital Staff Papers and Presentations
Introduction Statement:
Prior to the work outlined here, Jefferson Medical Group's local scheduling controls led to inconsistent scheduling rules, inefficient staffing models, and a less than desirable patient experience. Fueled by the conversion to Epic in late 2016, JMG has been on a journey to improve access through technology enablers that have fostered significant growth for the organization while simultaneously improving the experiences of our patients, providers, and staff.
An Assessment Of The Performance Of Different Chatbots On Shoulder And Elbow Questions,
2025
Rothman Orthopaedic Institute
An Assessment Of The Performance Of Different Chatbots On Shoulder And Elbow Questions, Mohamad Y. Fares, Tarishi Parmar, Peter Boufadel, Mohammad Daher, Jonathan Berg, Austin Witt, Brian W. Hill, John G. Horneff, Adam Z. Khan, Joseph A. Abboud
Rothman Institute Papers
Background/Objectives: The utility of artificial intelligence (AI) in medical education has recently garnered significant interest, with several studies exploring its applications across various educational domains; however, its role in orthopedic education, particularly in shoulder and elbow surgery, remains scarcely studied. This study aims to evaluate the performance of multiple AI models in answering shoulder- and elbow-related questions from the AAOS ResStudy question bank.
Methods: A total of 50 shoulder- and elbow-related questions from the AAOS ResStudy question bank were selected for the study. Questions were categorized according to anatomical location, topic, concept, and difficulty. Each question, along with the …
Unlocking Precision Using K-Means++- Improved Genetic Algorithm-Radial Basis Function Neural Network: Data-Driven Evolution Of Smart Gloves For Gesture Recognition,
2025
Kyungpook National University (KNU)
Unlocking Precision Using K-Means++- Improved Genetic Algorithm-Radial Basis Function Neural Network: Data-Driven Evolution Of Smart Gloves For Gesture Recognition, Liang Xiao Ding, Kuan Way Chee, Hong Lü, Anand Paul, Jeonghong Kim, Jang Myung Lee
School of Public Health Faculty Publications
Human-computer interaction technologies have been used since the 1970s but have only gained growing popularity in recent years with new design paradigms. Ongoing research and development in gesture recognition systems with broad application prospects have focused on improving accuracy and real-time performance as well as the robustness of specific machine learning algorithms against environmental conditions. This paper addresses the accuracy enhancement of a novel Fifth Dimension Technologies data-glove-based gesture recognition system using a genetic-algorithm (GA)-trained k-means++-improved radial basis function (RBF) or GK-RBF neural network. First, we analyzed and modeled the sensor distribution in the data glove and proposed joint constraints …
Sexual Health In The Era Of Artificial Intelligence: A Scoping Review Of The Literature,
2025
Thomas Jefferson University
Sexual Health In The Era Of Artificial Intelligence: A Scoping Review Of The Literature, Elia Abou Chawareb, Brian H. Im, Sherry Lu, Muhammed A.M. Hammad, Tiffany R. Huang, Henry Chen, Faysal A. Yafi
Student Papers, Posters & Projects
INTRODUCTION: Artificial Intelligence (AI) has witnessed significant growth in the field of medicine, leveraging machine learning, artificial neuron networks, and large language models. These technologies are effective in disease diagnosis, education, and prevention, while raising ethical concerns and potential challenges. However, their utility in sexual medicine remains relatively unexplored.
OBJECTIVE: We aim to provide a comprehensive summary of the status of AI in the field of sexual medicine.
METHODS: A comprehensive search was conducted using MeSH keywords, including "artificial intelligence," "sexual medicine," "sexual health," and "machine learning." Two investigators screened articles for eligibility within the PubMed and MEDLINE databases, with …
