Health Information Technology Commons^™

Refining Of An Online Rotator Cuff Related Pain Screening Tool (Orcs): A Mixed Methods Refinement Study, Andrew J. Smythe, Rhiannon Whale, Melanie Farlie, Peter Malliaras

Internet Journal of Allied Health Sciences and Practice

Purpose: The purpose of this study is to refine an online rotator cuff related shoulder pain screening tool. Method: A mixed methods item-refinement study was used. The original tool was designed through expert opinion and informal literature review. In this study the original tool was refined over three rounds of cognitive interviews totalling 39 participants. The screening tool consisted of two sections, red flag screening followed by rotator cuff related shoulder pain differential diagnostic items. Results from each round of interviews were summarised and informed a nominal group research panel review process to modify items and develop a finalised version …

Electronic Health Record Alerts To Improve Lipid Lowering After A Recent Myocardial Infarction, Dean G. Karalis, Benjamin Richter, Scott Hessen, Patrick Moeller, Laney K. Jones

Division of Cardiology Faculty Papers

BACKGROUND: This observational, quality initiative evaluated the impact of changing from a passive (dismissible) to an active (nondismissible without action) electronic health record alert on guideline-recommended lipid-lowering therapy (LLT) prescriptions in patients with recent myocardial infarction at risk for secondary events.

METHODS: We sequentially recruited a retrospective passive-alert (February 2018-July 2019; n=733) and a prospective active-alert (August 2020-January 2022; n=587) cohort of patients who triggered an alert to intensify LLT or order a low-density lipoprotein-cholesterol (LDL-C) test if they had a recent myocardial infarction (within 12 months) and elevated (≥70 mg/dL) or missing LDL-C. Prescribed LLTs and cumulative percentages of …

Artificial Intelligence Policy Development In A Hybrid, Accelerated Dpt Program: Planning For Academic Integrity, Jennifaye V. Brown, Keiba Shaw, Otis L. Owens

Internet Journal of Allied Health Sciences and Practice

Purpose: Artificial intelligence (AI), particularly generative forms like ChatGPT, has rapidly grown across higher education. Institutions are developing policies for responsible/ethical use to preserve academic integrity, while acknowledging AI’s role in healthcare to confirm diagnoses and create personalized plans based on social determinants. In physical therapy education, AI can serve a valuable purpose despite documented misuse by Doctor of Physical Therapy (DPT) students during admissions and curricular activities. This paper describes the development of an AI policy following identified misuse and demonstrated knowledge gaps from student orientation essays. Methods: An AI task force was convened. Policy development was guided by …

Evaluation Of Corneal Infections Using A Smartphone Macro Lens For Synchronous Telemedicine, Joseph A. Anaya, Julia Yu, Marisa A. Schoen, Dilru C. Amarasekera, Cherie A. Fathy, Sophia Lam, Christopher J. Rapuano, Zeba A. Syed

Wills Eye Hospital Papers

PURPOSE: To determine the efficacy of synchronous telemedicine consultation with a corneal specialist using a macro lens attachment to a smartphone to evaluate corneal infections.

METHODS: Patients aged 18 years or older who presented to the Cornea Clinic at Wills Eye Hospital between June 2020 and March 2021 with a corneal infection were examined by two fellowship-trained cornea specialists. One examiner (CJR) performed face-to-face (FTF) slit-lamp evaluations, whereas another examiner (ZAS) performed synchronous telemedicine visit (STV) evaluations via a smartphone with a macro lens of 7× magnification (Olloclip; Foothill Ranch, CA, USA) held by trained study coordinators. Agreement between examinations …

Trauma-Informed Conversational Agents For Mental Health: Understanding User Perspectives And Experiences, Xintong Lu, Shion Guha, Rachel Pfafman, Jessica Pater, Courtney L. Washington, Fayika Farhat Nova

Health Services and Informatics Research

Introduction:

Mental health conversational agents (MHCAs) offer scalable, accessible psychological support yet raise concerns about safety and appropriateness for trauma, exposed users. While trauma-informed care (TIC) principles, emphasizing safety, trust, empowerment, collaboration, peer support, and cultural sensitivity, are well-established in clinical practice, their application and user interpretation in chatbot contexts remain unexplored. This study aimed to explore (1) how users conceptualize trauma-informed care in the context of mental health chatbots and (2) what factors can help us predict whether users perceive their chatbot interaction as trauma-informed.

Methods:

A 59-item web-based survey (REDCap) assessed demographics, technology proficiency, adverse life experiences, chatbot …

Show Me The Money: Finance Models In Epilepsy Practice., Deepti Zutshi, Emily Klatte, Maysaa Basha, Leisha Osburn, Eric Segal, Nina Garga, Rohit R Das

Medical Education Articles

Healthcare models and the finances associated with such models are complex. Patients with epilepsy (PWE) receive care in a variety of settings, and each is associated with differing reimbursement, financial levers, as well as unique strengths and weaknesses. As the financial climate of healthcare system changes rapidly in the setting of an aging population, physician shortages, and increasing costs of healthcare delivery, it is important for clinicians to understand the financial aspects of caring for PWE. In this review, we examine basic concepts in healthcare economics and then review the financial aspects of care in an academic context, a private …

A Systematic Review Of Intrusion Detection Systems For Internet Of Medical Things: Performance, Efficiency, Explainability, And Generalization, Oswald Adohinzin, Youssef Harrath

Research & Publications

The Internet of Medical Things (IoMT) has transformed health care delivery through medical devices, remote patient monitoring, and real-time clinical decision support. However, the proliferation of IoMT devices introduces security vulnerabilities that put patient safety and data privacy at risk. Intrusion Detection Systems (IDS) have emerged as essential components for protecting IoMT networks from cyberattacks. This article presents a systematic review of IoMT-IDS research, analyzing 53 high-quality papers published between 2020 and 2025, identified through database searches spanning 2016–2025 across IEEE Xplore, Springer, ScienceDirect, and ACM Digital Library. We organize the literature through a comprehensive taxonomy spanning classical machine learning …

2026 Cyber-Resilient Health Care Workshop Report, Malcolm Schongalla, Sergey Bratus

Computer Science Technical Reports

The ISTS and the Dartmouth College Cybersecurity Cluster hosted the successful, inaugural Cyber-Resilient Health Care (CRHC) Workshop, March 5th & 6th, 2026. The event theme was "Innovation and Implementation," in response to the need to shift from reactive to proactive resiliency measures in the healthcare sector. Approximately 30 experts in clinical health care, cybersecurity, medical technology, policy, and innovation met to discuss solution-focused innovations addressing hard, cyber-related problems in health care. The agenda featured keynotes, an expert panel, innovation pitches, small group discussions, and a tabletop infrastructure disaster exercise. Participants gained insights into the obstacles and solutions involved in supporting …

June 2026, Swosu Rural Health Center

RURAL ROCKS

Rural Rocks

Second Generation Antipsychotics in the Treatment of Depression

Dr. Debra L. Stevens, Pharm.D., BCPP 

Major depressive disorder (MDD), also known as depression, affects 1 in 5 individuals in their lifetime.¹ Worldwide approximately 246 to 286 million individuals are afflicted with MDD.² MDD may cause significant morbidity and disability. The World Health Organization estimates that MDD will be one of the leading causes of disease burden by 2030.²

A significant number of patients diagnosed with MDD do not respond adequately despite appropriate treatment with antidepressants.² Treatment resistance may occur in up to one-third of patients …

June 2026, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

• Fitness and Hydration Month

• Stress Management Tips for Bulldogs

• Bulldog Resources

• HYDRATION TRACKER

A Survey Of Earable Technology: Trends, Tools, And The Road Ahead, Changshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger, Kayla-Jade Butkow, Mathias Ciliberto, Adam Luke Pullin, Jake Stuchbury-Wass, Mahbub Hassan, Cecilia Mascolo, Dong Ma

Research Collection School Of Computing and Information Systems

Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable research published since 2022. We attempt to answer three core questions: (1) how has earable research evolved in recent years, (2) what enabling resources are now available, and (3) what opportunities remain for future …

Ai In Healthcare: Regulatory Guidelines And Judge-Made Negligence Principles For Ai Implementers, Gary K. Y. Chan

Research Collection Yong Pung How School Of Law

The use of artificial intelligence (AI) in healthcare may, notwithstanding its potential benefits, result in harm to patients from allegedly negligent acts or omissions by hospitals and medical doctors. In such circumstances, how should the principles in the tort of negligence (duty of care, breach, causation, remoteness of damage, and defences) respond to AI innovations in healthcare? In particular, how may the standard of care expected of hospitals and medical doctors be informed by regulatory guidelines? We refer to case law precedents and regulatory guidelines on the roles and responsibilities of doctors and hospitals as AI implementers. Importantly, they prompt …

Ppg-Sport: A Dataset For Reliable Heart Rate Monitoring From Wrist Ppg Under Dynamic Sports Conditions, Changshuo Hu, Hung Manh Pham, Yiming Zhang, Guanru Yan, Xiao Ma, Yuezhong Wu, Thivya Kandappu, Archan Misra, Dong Ma

Research Collection School Of Computing and Information Systems

Photoplethysmography (PPG) has become a cornerstone of physiological sensing in wearable devices, enabling non-invasive monitoring of heart rate and related biomarkers. However, its reliability deteriorates sharply under dynamic, high-intensity, or non-periodic motions such as those in sports, where existing datasets fail to capture realistic wrist dynamics. To address this gap, we introduce PPG-Sport, the first large-scale dataset designed for heart rate monitoring from wrist-worn PPG under real sports conditions. The PPG-Sport dataset includes synchronized PPG, inertial measurement unit (IMU), and electrocardiography (ECG) recordings from both wrists of 30 participants across six representative activities: stationary, walking, running, badminton, table tennis, and …

When The Therapist Is An Algorithm: Understanding Autism Spectrum Students’ Acceptance Of Generative Ai As A Mental Well-Being Tool Through The Technological Acceptance Model, Jossy P. George, Peter Muttungal, Benny Jeyekumar Davidson, Nishi Priya

Northeast Journal of Complex Systems (NEJCS)

This study examines the psychological and technological factors of the acceptance and emotional well-being of 349 college students with autism who use generative artificial intelligence tools as sources of psychological and emotional support. Grounded on the model of Technology Acceptance Model (TAM), the research studies relationships among perceived empathy, perceived usefulness, ease of use, emotional trust, continuance intention, and overall well-being. Structural equation modelling found that the perceived empathy was a significant predictor of ease of use and usefulness, while emotional trust and continuance intention proved to be significant predictors of emotional well-being. To reinforce these results, predictive modelling performed …

Utilizing Remote Patient Monitoring With Dnp Students To Provide Pre-Natal Care, Sara Mccumber

InnovateHER Meeting 2026

This educational project introduced Nurse Practitioners to the use of RPM during pre-natal care for a patient with pre-natal hypertension. Hypertension is a risk factor in 16% of pregnancies and 5-8% of US births are impacted by hypertensive disorders and preeclampsia (CDC, 2023).

Identification and effective management of hypertension in pregnancy recently was an initiative of the Minnesota Perinatal Quality Collaborative (MPQC, 2022).

Cognitive Behavioral Therapy-Based Psychosocial Interventions To Reduce Anxiety After Social Isolation In Adolescent Females, Bailey E. Noble

InnovateHER Meeting 2026

• COVID-19 social isolation linked with higher anxiety risk in adolescents, especially females
• Review examined whether CBT-based psychosocial interventions reduce anxiety after pandemic-related loneliness/social isolation
• Across 6 studies, remote and internet-delivered CBT linked with anxiety improvement 
• Strongest outcomes seen with therapist-assisted CBT
• Common barriers: privacy, motivation, scheduling, and digital access
• Nursing relevance: early screening, referral, and support for treatment participation

Advocateai: A Human-In-The-Loop Artificial Intelligence Platform To Improve Diagnostic Trajectories And Patient Empowerment In Chronic Pelvic Pain, Gayatri Bhanot, Ashley Kochans

InnovateHER Meeting 2026

Chronic pelvic pain (CPP) affects up to 27% of women globally^1, yet diagnosis takes 4 – 12 years on average² — a crisis driven by healthcare fragmentation, systemic gender bias, and a 62% rate of symptom dismissal by healthcare providers³. AdvocateAI is a human-in-the-loop AI platform designed to empower patients to accelerate their own diagnostic journey. By synthesizing fragmented medical records and patient-reported symptoms, the tool creates structured clinical summaries and personalized advocacy scripts. Here, we present our findings from discovery, including a landscape analysis of available CPP treatments, a prototype co-designed by patients, and custom …

Healthcare Supply Chain Optimization Techniques: Case Studies Of Pittsburgh-Area Healthcare Centers, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

Nudging Implementation Of Low Tidal Volume Ventilation: A Stepped Wedge, Cluster Randomized Trial, Meeta Prasad Kerlin, Michael O. Harhay, Fan Li, Dylan S. Small, Yingying Lu, Wei Wang, Barry D. Fuchs, Mark E. Mikkelsen, Teresa Tran, Aerielle Belk, Jasmine A. Silvestri, Tamar Klaiman, Stefania Scott, Elizabeth Levy, Michael W. Sjoding, Rachel Kohn, Karsten J. Roberts, Rinad S. Beidas, Scott D. Halpern

College of Health Professions Faculty Papers

BACKGROUND: "Nudges" embedded in the electronic health record (EHR) facilitate desired decisions while preserving autonomy and may provide a scalable strategy to overcome the common implementation barrier of lack of knowledge about a best practice. We sought to test whether EHR-based nudges targeting two intensive care unit (ICU) clinician groups would safely increase evidence-based use of low tidal volume ventilation.

METHODS: We performed a stepped-wedge, cluster randomized, hybrid type 3 effectiveness-implementation trial in 12 ICUs from February 2021 to May 2023 to test three nudges targeting clinicians responsible for order entry and respiratory therapists responsible for operationalizing orders and documentation. …

Developing A Computational Pipeline For Biomarker Discovery In Ischemic Reperfusion Injury, Surabhi Panda, Kaitlyn Insana, Dimitri Pestov

Rowan-Virtua Research Day

Background: Ischemia-reperfusion injury (IRI) contributes significantly to tissue damage in cardiovascular disease. During IRI, stressed and dying cells release ribosomal RNA, which exhibits distinct fragmentation patterns that may serve as potential diagnostic biomarkers. Although these patterns have been observed using low-resolution biochemical techniques, there is currently no standardized computational approach to quantify and visualize RNA fragmentation for clinical interpretation.

Hypothesis: A computational pipeline can be developed to visualize and analyze ribosomal RNA fragmentation patterns, enabling identification of distinct fragmentation hotspots associated with ischemic conditions and potential biomarker discovery.

Methods: RNA fragmentation datasets generated from ribosomal RNA experiments in a Saccharomyces …