Health Information Technology Commons^™

Vaxbot-Hpv: A Gpt-Based Chatbot For Answering Hpv Vaccine-Related Questions, Yiming Li, Jianfu Li, Manqi Li, Evan Yu, Danniel Rhee, Muhammad Amith, Lu Tang, Lara S Savas, Licong Cui, Cui Tao

Faculty, Staff and Student Publications

OBJECTIVE: Human Papillomavirus (HPV) vaccine is an effective measure to prevent and control the diseases caused by HPV. However, widespread misinformation and vaccine hesitancy remain significant barriers to its uptake. This study focuses on the development of VaxBot-HPV, a chatbot aimed at improving health literacy and promoting vaccination uptake by providing information and answering questions about the HPV vaccine.

METHODS: We constructed the knowledge base (KB) for VaxBot-HPV, which consists of 451 documents from biomedical literature and web sources on the HPV vaccine. We extracted 202 question-answer pairs from the KB and 39 questions generated by GPT-4 for training and …

Federally Qualified Health Center Patients’ Experiences With Remote Patient Monitoring As Part Of Telehealth Services For Self-Measured Blood Pressure Monitoring, Natalia I Heredia, Maria E Fernandez, Ella R Garza, Jabria Pittman, Fernanda Velasco-Huerta, Tracy L Judd, Jocelyn Hunyadi, Elvis Longanga Diese, Deevakar Rogith, William B Perkison, Susan H Fenton

Faculty, Staff and Student Publications

BACKGROUND: Remote patient monitoring (RPM) for hypertension management has become increasingly popular, demonstrating benefits for both clinics and patients. However, patient engagement in self-measured blood pressure (SMBP) monitoring remains low despite healthcare providers' efforts. This study aimed to assess adherence and acceptance of RPM for SMBP among Texas Federally Qualified Health Center patients.

METHODS: Participants enrolled in the SMBP monitoring program were recruited at three health centers. Data was collected from patient health records, and a questionnaire assessed hypertension self-management, technology acceptance, intentions, and attitudes toward SMBP. Thematic analysis was conducted for open-ended responses that followed each item, and multivariate …

Toward Personalized Digital Experiences To Promote Diabetes Self-Management: Mixed Methods Social Computing Approach, Tavleen Singh, Kirk Roberts, Kayo Fujimoto, Jing Wang, Constance Johnson, Sahiti Myneni

Faculty, Staff and Student Publications

BACKGROUND: Type 2 diabetes affects nearly 34.2 million adults and is the seventh leading cause of death in the United States. Digital health communities have emerged as avenues to provide social support to individuals engaging in diabetes self-management (DSM). The analysis of digital peer interactions and social connections can improve our understanding of the factors underlying behavior change, which can inform the development of personalized DSM interventions.

OBJECTIVE: Our objective is to apply our methodology using a mixed methods approach to (1) characterize the role of context-specific social influence patterns in DSM and (2) derive interventional targets that enhance individual …

Shifting Patterns In Primary Care Telehealth Utilization Among Medicare Beneficiaries And Providers, Yunxi Zhang, Lincy S Lal, Saurabh Chandra, John Michael Swint

Faculty, Staff and Student Publications

Introduction: The COVID-19 pandemic accelerated telehealth adoption, but disparities in its utilization persist. This study examines primary care patient sociodemographic characteristics, telehealth utilization patterns, and provider adoptions before and during the pandemic.

Methods: A retrospective cohort study analyzed data from Mississippi Medicare beneficiaries continuously enrolled in Parts A, B, and D who accessed primary care services from 2019 to 2021.

Results: Among 201 677 Medicare beneficiaries accessing primary care, 1364 used telehealth before the pandemic, compared to 73 994 during the pandemic. Telehealth utilization shifted during the pandemic to younger, female, White beneficiaries, and those enrolled in Medicare due to …

Virtually Assisted Home Rehabilitation After Acute Stroke (Vast-Rehab): A Descriptive Pilot Study For Young And Underserved Stroke Survivors, Emily A Stevens, Neha Muraly, Carolyn P Da Silva, Lorie Richards, Aylen Sosa, Heather Smith, Allyson Seals Richard, Shehzeen Manji, Mary E Russell, Sean I Savitz

Faculty, Staff and Student Publications

Introduction: The objective of Virtually Assisted home rehabilitation after acute STroke was to offer a fully remote telerehabilitation intervention to stroke survivors during the COVID-19 pandemic.

Methods: Participants were recruited from acute care, inpatient rehab, or provider/self-referral if they had a stroke within the previous year, prestroke modified Rankin Scale < 3, were recommended to participate in rehab, and had internet access. Exclusions were: prior injury/diagnoses that impacted functional level, life expectancy of less than six months, or safety concerns. Outcomes were within one week prior to initiation and within one week after completion of telerehabilitation sessions. Video call sessions were completed 1-2 times a week for 12 weeks. Occupational therapy, physical therapy, and/or speech therapy were provided. Analyses involved descriptive statistics; qualitative comments were aggregated and analyzed for broader themes. Twenty participants were consented.

Results: Of the 20 participants (39-71 years old, 35% White, 50% female), 12 completed study activities, five completed exit interview; 10 demonstrated improvement on National Institute of Health Stroke Scale from a mean of 5.6 at baseline to 2.7 at end of study, six demonstrated improvement in modified Rankin Score …

Safety And Clinical Outcomes Of Endovascular Therapy Versus Medical Management In Late Presentation Of Large Ischemic Stroke, Adnan Mujanovic, Daniel Strbian, Jelle Demeestere, João Pedro Marto, Volker Puetz, Raul G Nogueira, Mohamad Abdalkader, Simon Nagel, Jean Raymond, Marc Ribo, Patrik Michel, Shinichi Yoshimura, Osama O Zaidat, Simon Winzer, Santiago Ortega-Gutierrez, Sunil A Sheth, James E Siegler, Anne Dusart, Diogo C Haussen, Hilde Henon, Bettina L Serrallach, Mahmoud H Mohammaden, Markus A Möhlenbruch, Marta Olive-Gadea, Ajit S Puri, Nobuyuki Sakai, Piers Klein, Liisa Tomppo, Francois Caparros, João Nuno Ramos, Mouhammad Jumaa, Syed Zaidi, Tomas Dobrocky, Nicolas Martinez-Majander, Stefania Nannoni, Flavio Bellante, Aaron Rodriguez-Calienes, Sergio Salazar-Marioni, Pekka Virtanen, Daniel Po Kaiser, Rita Ventura, Jessica Jesser, Alicia C Castonguay, Muhammad M Qureshi, Hesham E Masoud, Milagros Galecio-Castillo, Manuel Requena, Riikka Lauha, Wei Hu, Eugene Lin, Zhongrong Miao, Daniel Roy, Hiroshi Yamagami, David J Seiffge, Davide Strambo, Peter A Ringleb, Robin Lemmens, Urs Fischer, Thanh N Nguyen, Johannes Kaesmacher

Faculty, Staff and Student Publications

Introduction: The benefit of endovascular therapy (EVT) among stroke patients with large ischemic core (ASPECTS 0-5) in the extended time window outside of trial settings remains unclear. We analyzed the effect of EVT among these stroke patients in real-world settings.

Patients and methods: The CT for Late Endovascular Reperfusion (CLEAR) study recruited patients from 66 centers in 10 countries between 01/2014 and 05/2022. The extended time-window was defined as 6-24 h from last-seen-well to treatment. The primary outcome was shift of the 3-month modified Rankin scale (mRS) score. Safety outcomes included symptomatic intracranial hemorrhage (sICH) and mortality. Outcomes were analyzed …

Patient-Reported Convenience And Effectiveness Of Telehealth For Breast Cancer Management, Akshara Singareeka Raghavendra, Kristofer Jennings, Gil Guerra, Debu Tripathy, Meghan S Karuturi

Faculty, Staff and Student Publications

Background: Before the coronavirus disease 2019 (COVID-19) pandemic, telehealth was rarely used for breast cancer management at tertiary care centers. We sought to examine patient satisfaction, experiences, preferences, and perceived effectiveness and technical quality of telehealth visits in follow-up patients receiving routine outpatient care in the breast medical oncology practice at The University of Texas MD Anderson Cancer Center.

Methods: We administered a survey to 60 follow-up patients for a duration of 9 months (January 5, 2021 to October 27, 2021) who had at least one telehealth consultation during the COVID-19 pandemic, from April 10, 2020 to October 21, 2021. …

Short-Term Outcomes Of A Healthy Relationship Intervention For The Prevention Of Sexual Harassment And Sexual Assault In The Us Military: Pilot Pretest-Postest Study, Belinda Hernandez, Ross Shegog, Christine Markham, Susan Emery, Elizabeth Baumler, Laura Thormaehlen, Rejane Andina Teixeira, Yanneth Rivera, Olive Pertuit, Chelsey Kanipe, Iraina Witherspoon, Janis Doss, Victor Jones, Melissa Peskin

Faculty, Staff and Student Publications

BACKGROUND: Sexual harassment (SH) and sexual assault (SA) are serious public health problems among US service members. Few SH and SA prevention interventions have been developed exclusively for the military. Code of Respect (X-CoRe) is an innovative web-based, multilevel, SA and SH intervention designed exclusively for the active-duty Air Force. The program's goal is to increase Airmen's knowledge and skills to build and maintain respectful relationships, ultimately reducing SH and SA and enhancing Airmen's overall well-being and mission readiness.

OBJECTIVE: This pilot study aimed to assess the short-term psychosocial impact (eg, knowledge, attitudes, and self-efficacy) of the web-based component of …

Enhancing Clinical Relevance Of Pretrained Language Models Through Integration Of External Knowledge: Case Study On Cardiovascular Diagnosis From Electronic Health Records, Qiuhao Lu, Andrew Wen, Thien Nguyen, Hongfang Liu

Faculty, Staff and Student Publications

Background: Despite their growing use in health care, pretrained language models (PLMs) often lack clinical relevance due to insufficient domain expertise and poor interpretability. A key strategy to overcome these challenges is integrating external knowledge into PLMs, enhancing their adaptability and clinical usefulness. Current biomedical knowledge graphs like UMLS (Unified Medical Language System), SNOMED CT (Systematized Medical Nomenclature for Medicine-Clinical Terminology), and HPO (Human Phenotype Ontology), while comprehensive, fail to effectively connect general biomedical knowledge with physician insights. There is an equally important need for a model that integrates diverse knowledge in a way that is both unified and compartmentalized. …

Population-Level Trends In Self-Reported Healthcare Utilization Among Older Adults In Mexico With And Without Cognitive Impairment, José Eduardo Cabrero Castro, Rebeca Wong, Rafael Samper Ternent, Brian Downer

Faculty, Staff and Student Publications

BACKGROUND: Older adults with cognitive impairment exhibit different patterns of healthcare utilization compared to their cognitively healthy counterparts. Despite extensive research in high-income countries, similar studies in low- and middle-income countries are lacking. This study aims to investigate the population-level patterns in healthcare utilization among older adults with and without cognitive impairment in Mexico.

METHODS: Data came from five waves (2001-2018) of the Mexican Health and Aging Study. We used self-reported measures for one or more over-night hospital stays, doctor visits, visits to homeopathic doctors, and dental visits in the past year; seeing a pharmacist in the past year; and …

Call Me Dr Ishmael: Trends In Electronic Health Record Notes Available At Emergency Department Visits And Admissions, Brian W Patterson, Daniel J Hekman, Frank J Liao, Azita G Hamedani, Manish N Shah, Majid Afshar

Faculty, Staff and Student Publications

OBJECTIVES: Numerous studies have identified information overload as a key issue for electronic health records (EHRs). This study describes the amount of text data across all notes available to emergency physicians in the EHR, trended over the time since EHR establishment.

MATERIALS AND METHODS: We conducted a retrospective analysis of EHR data from a large healthcare system, examining the number of notes and a corresponding number of total words and total tokens across all notes available to physicians during patient encounters in the emergency department (ED). We assessed the change in these metrics over a 17-year period between 2006 and …

Reliable Detection Of Generalized Convulsive Seizures Using An Off-The-Shelf Digital Watch: A Multisite Phase 2 Study, Yash Shashank Vakilna, Xiaojin Li, Jaison S Hampson, Yan Huang, John C Mosher, Yuri Dabaghian, Xi Luo, Blanca Talavera, Sandipan Pati, Masel Todd, Ryan Hays, Charles Akos Szabo, Guo-Qiang Zhang, Samden D Lhatoo

Faculty, Staff and Student Publications

Objective: The aim of this study was to develop a machine learning algorithm using an off-the-shelf digital watch, the Samsung watch (SM-R800), and evaluate its effectiveness for the detection of generalized convulsive seizures (GCS) in persons with epilepsy.

Methods: This multisite epilepsy monitoring unit (EMU) phase 2 study included 36 adult patients. Each patient wore a Samsung watch that contained accelerometer, gyroscope, and photoplethysmographic sensors. Sixty-eight time and frequency domain features were extracted from the sensor data and were used to train a random forest algorithm. A testing framework was developed that would better reflect the EMU setting, consisting of …

Implementation Of A Health Information Technology Safety Classification System In The Veterans Health Administration’S Informatics Patient Safety Office, Danielle Kato, Joe Lucas, Dean F Sittig

Faculty, Staff and Student Publications

Objective: Implement the 5-type health information technology (HIT) patient safety concern classification system for HIT patient safety issues reported to the Veterans Health Administration's Informatics Patient Safety Office.

Materials and methods: A team of informatics safety analysts retrospectively classified 1 year of HIT patient safety issues by type of HIT patient safety concern using consensus discussions. The processes established during retrospective classification were then applied to incoming HIT safety issues moving forward.

Results: Of 140 issues retrospectively reviewed, 124 met the classification criteria. The majority were HIT failures (eg, software defects) (33.1%) or configuration and implementation problems (29.8%). Unmet user …

Enhancing Foot Care Education And Support Strategies In Adults With Type 2 Diabetes, Hsiao-Hui Ju, Madelene Ottosen, Jeffery Alford, Jed Jularbal, Constance Johnson

Faculty, Staff and Student Publications

BACKGROUND: People with diabetes are susceptible to serious and disabling foot complications, which increase their morbidity and mortality rates. Examining the perspectives of people with diabetes on their foot care routines could help elucidate their beliefs and offer practical ways to prevent foot problems.

PURPOSE: We explored the perspectives of adults with diabetes on their foot care practices to identify and enhance foot care education and support strategies.

METHODOLOGY: Using the Zoom platform, 29 adults with diabetes completed a 3-month telehealth educational program, during which interviews were conducted. This article reports the results of thematic content analysis of the qualitative …

Us Filipino Adults Have Elevated Prevalence Of Hypertension Across The Adult Lifespan: Findings From A Cross-Sectional Electronic Health Record Study, Nancy P Gordon, Irvin C Lien, Jamal S Rana, Joan C Lo

Faculty, Staff and Student Publications

INTRODUCTION: The prevalence of hypertension increases with age and differs by race and ethnicity. Among U.S. Asian adults, prevalence is higher for Filipino adults than for other major Asian subgroups, but whether this disparity exists across the adult lifespan is unknown. This study examined hypertension prevalence by age decade, comparing Filipino adults with South Asian, Chinese, Black, Hispanic, and White adults.

METHODS: This cross-sectional study used 2015-2016 electronic health record data from a Northern California integrated healthcare delivery system for 1,839,603 adults aged 30-79 years, including 128,124 Filipino adults. Hypertension was defined by diagnosis codes. Sex-specific prevalence was calculated by …

A Pilot Acceptability Evaluation Of Mommind: A Digital Health Intervention For Peripartum Depression Prevention And Management Focused On Health Disparities, Alexandra Zingg, Amy Franklin, Angela Ross, Sahiti Myneni

Faculty, Staff and Student Publications

Health disparities cause significant strain on the wellbeing of individuals and society. In this study, we focus on the health disparities present in the condition of Peripartum Depression (PPD), a significant public health issue. While PPD can be managed through therapy and medication, many women do not receive adequate PPD treatment due to issues of social stigma and limited access to healthcare resources. Digital health technologies can offer practical tools for PPD management. However, current solutions do not integrate behavior theory and are rarely responsive to the transient information needs stemming from women's unique sociodemographic, clinical and psychosocial profiles. We …

Retention, Adherence, And Acceptability Testing Of A Digital Health Intervention In A 3-Group Randomized Controlled Trial For Chronic Musculoskeletal Pain, Jennifer Kawi, Chao Hsing Yeh, Lauren Grant, Xinran Huang, Hulin Wu, Chunyan Hua, Paul Christo

Faculty, Staff and Student Publications

OBJECTIVES: Evaluate a digital health intervention using Auricular Point Acupressure (APA) for chronic musculoskeletal pain in terms of participant retention, adherence, acceptability, and satisfaction. Chronic musculoskeletal pain is a global concern and there are persistent challenges in pain management. Despite the value of digital health interventions, these interventions need to be fully evaluated for feasibility.

METHODS: We conducted a 3-group, longitudinal, randomized controlled trial (RCT). After Institutional Review Board approval, we posted recruitment flyers in a university, healthcare clinics, and community settings. Participants were randomized into an in-person + app group (n = 8), virtual + app group (n = …

Translating Motivational Interviewing For The Hpv Vaccine Into A Computable Ontology Model For Automated Ai Conversational Interaction, Nicole Moore, Muhammad Amith, Ana C Neumann, Jane Hamilton, Lu Tang, Lara S Savas, Cui Tao

Faculty, Staff and Student Publications

Human papillomavirus (HPV) vaccinations are lower than expected. To protect the onset of head and neck cancers, innovative strategies to improve the rates are needed. Artificial intelligence may offer some solutions, specifically conversational agents to perform counseling methods. We present our efforts in developing a dialogue model for automating motivational interviewing (MI) to encourage HPV vaccination. We developed a formalized dialogue model for MI using an existing ontology-based framework to manifest a computable representation using OWL2. New utterance classifications were identified along with the ontology that encodes the dialogue model. Our work is available on GitHub under the GPL v.3. …

Academic Detailing As A Health Information Technology Implementation Method: Supporting The Design And Implementation Of An Emergency Department-Based Clinical Decision Support Tool To Prevent Future Falls, Hanna J Barton, Apoorva Maru, Margaret A Leaf, Daniel J Hekman, Douglas A Wiegmann, Manish N Shah, Brian W Patterson

Faculty, Staff and Student Publications

BACKGROUND: Clinical decision support (CDS) tools that incorporate machine learning-derived content have the potential to transform clinical care by augmenting clinicians' expertise. To realize this potential, such tools must be designed to fit the dynamic work systems of the clinicians who use them. We propose the use of academic detailing-personal visits to clinicians by an expert in a specific health IT tool-as a method for both ensuring the correct understanding of that tool and its evidence base and identifying factors influencing the tool's implementation.

OBJECTIVE: This study aimed to assess academic detailing as a method for simultaneously ensuring the correct …

Effects Of Family Dignity Interventions Combined With Standard Palliative Care On Family Adaptability, Cohesion, And Anticipatory Grief In Adult Advanced Cancer Survivors And Their Family Caregivers: A Randomized Controlled Trial, Nannan Wang, Kun Wang, Xinyu Lu, Shuyu Zhang, Xuhan Sun, Yuxi Zhang

Faculty, Staff and Student Publications

BACKGROUND: Family involvement and comfort are equally important in palliative care. Dignity undertook a new meaning and novel challenges as a result of restrictions on visits and companionship during the pandemic. Family-centered family dignity interventions have been shown to be effective in increasing patients' sense of dignity, increasing levels of hope, and reducing psychological distress; however, the effectiveness in enhancing family adaptability and intimacy in the survivor-caregiver binary and reducing expected grief have been inconclusive.

OBJECTIVES: The primary objective of this study was to assess the efficacy of family dignity interventions on family adaptability and cohesion. The secondary objective was …

Evaluating And Improving The Usability Of A Mhealth Platform To Assess Postoperative Dental Pain, Ana M Ibarra-Noriega, Alfa Yansane, Joanna Mullins, Kristen Simmons, Nicholas Skourtes, David Holmes, Joel White, Elsbeth Kalenderian, Muhammad F Walji

Faculty, Staff and Student Publications

OBJECTIVES: The use of interactive mobile health (mHealth) applications to monitor patient-reported postoperative pain outcomes is an emerging area in dentistry that requires further exploration. This study aimed to evaluate and improve the usability of an existing mHealth application.

MATERIALS AND METHODS: The usability of the application was assessed iteratively using a 3-phase approach, including a rapid cognitive walkthrough (Phase I), lab-based usability testing (Phase II), and

RESULTS: The rapid cognitive walkthrough identified 23 potential issues that could negatively impact user experience, with the majority classified as system issues. The lab-based usability testing yielded 141 usability issues.; 43% encountered by …

Experiences Of Using The Mindset Self-Management Mobile Health App Among Hispanic Patients: Results Of A Qualitative Study, Refugio Sepulveda, Jenny Chong, Ross Shegog, Kimberly Martin, Charles Begley, Robert Addy, Omar Rosales, Tomas Nuño, Shiela Soto, Cecilia Rosales, David Labiner

Faculty, Staff and Student Publications

BACKGROUND: Interventions focusing on epilepsy self-management (ESM) are vital for promoting the health of people living with epilepsy. E-technology and mobile health (mHealth) tools are becoming increasingly integrated into practice to promote self-management strategies for chronic diseases, enhance care delivery, and reduce health disparities. Management Information and Decision Support Epilepsy Tool (MINDSET), a bilingual decision support tool (available in English and Spanish), was found to be both feasible and effective in facilitating goal-based ESM in the clinic.

PURPOSE: To assess the experience of using MINDSET as an ESM intervention among Hispanic patients with epilepsy to inform future interventional studies.

METHODS: …

Telehealth Evaluation In The United States: Protocol For A Scoping Review, Yunxi Zhang, Yueh-Yun Lin, Lincy S Lal, Jennifer C Reneker, Elizabeth G Hinton, Saurabh Chandra, J Michael Swint

Faculty, Staff and Student Publications

BACKGROUND: The rapid expansion of telehealth services, driven by the COVID-19 pandemic, necessitates systematic evaluation to guarantee the quality, effectiveness, and cost-effectiveness of telehealth services and programs in the United States. While numerous evaluation frameworks have emerged, crafted by various stakeholders, their comprehensiveness is limited, and the overall state of telehealth evaluation remains unclear.

OBJECTIVE: The overarching goal of this scoping review is to create a comprehensive overview of telehealth evaluation, incorporating perspectives from multiple stakeholder categories. Specifically, we aim to (1) map the existing landscape of telehealth evaluation, (2) identify key concepts for evaluation, (3) synthesize existing evaluation frameworks, …

The Digital Transition: Are Adults Aged 65 Years Or Older Willing To Complete Online Forms And Questionnaires In Patient Portals?, Nancy P Gordon, Sherry Zhang, Joan C Lo, Christina F Li

Faculty, Staff and Student Publications

INTRODUCTION: Patients are being encouraged to complete forms electronically using patient portals rather than on paper, but willingness of older adults to make this transition is uncertain.

METHODS: The authors analyzed data for 4105 Kaiser Permanente Northern California 2020 Member Health Survey respondents aged 65-85 years who answered a question about willingness to complete online forms and questionnaires using a patient portal. Data weighted to the Kaiser Permanente Northern California membership were used to estimate percentages of older adults willing to complete patient portal forms and questionnaires. Chi-square tests and log-Poisson regression models that included sociodemographic, internet use, and patient …

The Acceptance And Use Of Digital Technologies For Self-Reporting Medication Safety Events After Care Transitions To Home In Patients With Cancer: Survey Study, Yun Jiang, Misun Hwang, Youmin Cho, Christopher R Friese, Sarah T Hawley, Milisa Manojlovich, John C Krauss, Yang Gong

Faculty, Staff and Student Publications

BACKGROUND: Actively engaging patients with cancer and their families in monitoring and reporting medication safety events during care transitions is indispensable for achieving optimal patient safety outcomes. However, existing patient self-reporting systems often cannot address patients' various experiences and concerns regarding medication safety over time. In addition, these systems are usually not designed for patients' just-in-time reporting. There is a significant knowledge gap in understanding the nature, scope, and causes of medication safety events after patients' transition back home because of a lack of patient engagement in self-monitoring and reporting of safety events. The challenges for patients with cancer in …

Deep Learning Model For Personalized Prediction Of Positive Mrsa Culture Using Time-Series Electronic Health Records, Masayuki Nigo, Laila Rasmy, Bingyu Mao, Bijun Sai Kannadath, Ziqian Xie, Degui Zhi

Faculty, Staff and Student Publications

Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and mortality in hospitals. Rapid, accurate risk stratification of MRSA is crucial for optimizing antibiotic therapy. Our study introduced a deep learning model, PyTorch_EHR, which leverages electronic health record (EHR) time-series data, including wide-variety patient specific data, to predict MRSA culture positivity within two weeks. 8,164 MRSA and 22,393 non-MRSA patient events from Memorial Hermann Hospital System, Houston, Texas are used for model development. PyTorch_EHR outperforms logistic regression (LR) and light gradient boost machine (LGBM) models in accuracy (AUROC

Implementation Of A Home Blood Pressure Monitoring Program For The Management Of Hypertensive Disorders Of Pregnancy, An Observational Study In British Columbia, Canada, Karen C Tran, Sabina Freiman, Tessa Chaworth-Musters, Susan Purkiss, Colleen Foster, Nadia A Khan, Wee Shian Chan

Faculty, Staff and Student Publications

BACKGROUND: COVID-19 pandemic has influenced health care delivery. We conducted an observational study to understand how obstetric medicine (ObM) physicians utilized home blood pressure monitoring (HBPM) to manage hypertension in pregnancy.

METHODS: Pregnant participants with risk factors or diagnosis of hypertensive disorders of pregnancy (HDP) were enrolled, May 2020-December 2021, and provided with validated home blood pressure (BP) monitor. ObM physicians completed questionnaires to elicit how home BP readings were interpreted to manage HDP.

RESULTS: We enrolled 103 people: 44 antepartum patients (33.5 ± 5 years, gestational age of 24 ± 5 weeks); 59 postpartum patients (35 ± 6 years, …

Evaluation Of The Effectiveness Of Telemedicine In Postoperative Follow-Up Care After Dental Implant Surgery A Pilot Study, Praveen Kumar Patel, Anuj Kishor Shukla, Varun Sachan, Paawan Sharma, Sonal Singh, Swapnil Saxena, Ramanpal S Makkad

Faculty, Staff and Student Publications

AIM: Telemedicine has emerged as a potential solution to enhance postoperative follow-up care after dental implant surgery, offering the convenience of remote monitoring and reduced need for in-person visits.

MATERIALS AND METHODS: Participants were randomly assigned to either the telemedicine group (n = 15) or the in-person group (n = 15). In the telemedicine group, patients received remote follow-up care through virtual consultations, during which they could communicate their concerns and share images of the surgical site. The in-person group received standard in-person follow-up visits. Patient satisfaction was measured using a standardized survey, with responses collected on a Likert scale. …

Home Blood Pressure Telemonitoring Technology For Patients With Asymptomatic Elevated Blood Pressure Discharged From The Emergency Department: Pilot Study, Karen C Tran, Meagan Mak, Laura M Kuyper, Jesse Bittman, Birinder Mangat, Heather Lindsay, Chad Kim Sing, Liang Xu, Hubert Wong, Martin Dawes, Nadia Khan, Kendall Ho

Faculty, Staff and Student Publications

BACKGROUND: Hypertension affects 1 in 5 Canadians and is the leading cause of morbidity and mortality globally. Hypertension control is declining due to multiple factors including lack of access to primary care. Consequently, patients with hypertension frequently visit the emergency department (ED) due to high blood pressure (BP). Telehealth for Emergency-Community Continuity of Care Connectivity via Home-Telemonitoring Blood Pressure is a pilot project that implements and evaluates a comprehensive home blood pressure telemonitoring (HBPT) and physician case management protocol designed as a postdischarge management strategy to support patients with asymptomatic elevated BP as they transition from the ED to home. …

Multi-Site Benchmark Classification Of Major Depressive Disorder Using Machine Learning On Cortical And Subcortical Measures, Vladimir Belov, Tracy Erwin-Grabner, Moji Aghajani, Andre Aleman, Alyssa R Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Robin Bülow, Christopher R K Ching, Colm G Connolly, Kathryn Cullen, Christopher G Davey, Danai Dima, Annemiek Dols, Jennifer W Evans, Cynthia H Y Fu, Ali Saffet Gonul, Ian H Gotlib, Hans J Grabe, Nynke Groenewold, J Paul Hamilton, Ben J Harrison, Tiffany C Ho, Benson Mwangi, Natalia Jaworska, Neda Jahanshad, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Meng Li, David E J Linden, Frank P Macmaster, David M A Mehler, Elisa Melloni, Bryon A Mueller, Amar Ojha, Mardien L Oudega, Brenda W J H Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J Portella, Elena Pozzi, Liesbeth Reneman, Matthew D Sacchet, Philipp G Sämann, Anouk Schrantee, Kang Sim, Jair C Soares, Dan J Stein, Sophia I Thomopoulos, Aslihan Uyar-Demir, Nic J A Van Der Wee, Steven J A Van Der Werff, Henry Völzke, Sarah Whittle, Katharina Wittfeld, Margaret J Wright, Mon-Ju Wu, Tony T Yang, Carlos Zarate, Dick J Veltman, Lianne Schmaal, Paul M Thompson, Roberto Goya-Maldonado, Enigma Major Depressive Disorder Working Group

Faculty, Staff and Student Publications

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample sizes, lack of representativeness, data leakage, and/or overfitting. Here, we overcome these limitations with the largest multi-site sample size to date (N = 5365) to provide a generalizable ML classification benchmark of major depressive disorder (MDD) using shallow linear and non-linear models. Leveraging brain measures from standardized ENIGMA analysis pipelines in FreeSurfer, we were able to classify MDD versus healthy controls (HC) with a balanced accuracy …