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School-Based Online Surveillance of Youth: Systematic Search and Content Analysis of Surveillance Company Websites

School-Based Online Surveillance of Youth: Systematic Search and Content Analysis of Surveillance Company Websites

School-based online surveillance companies are companies that sell one or more of the following services to schools or districts: social media monitoring, student communications monitoring (eg, email or documents), and online (ie, web browsing) monitoring [12]. School-based online surveillance services are a subset of the educational technology (Ed Tech) surveillance industry.

Alison O'Daffer, Wendy Liu, Cinnamon S Bloss

J Med Internet Res 2025;27:e71998

Remote Monitoring by ViQtor Upon Implementation on a Surgical Department (REQUEST-Trial): Protocol for a Prospective Implementation Study

Remote Monitoring by ViQtor Upon Implementation on a Surgical Department (REQUEST-Trial): Protocol for a Prospective Implementation Study

These devices provide real-time, continuous monitoring of vital signs, enabling earlier detection of clinical deterioration and potentially more timely intervention [4,7-9]. In addition, continuous monitoring may reduce the burden of manual assessments on nursing staff. Despite the potential benefits, widespread implementation of wearables in clinical settings remains uncommon.

Ephrahim E Jerry, Arthur R Bouwman, Simon W Nienhuijs

JMIR Res Protoc 2025;14:e70707

Health Information Systems’ Support for Management and Changing Work: Survey Study Among Physicians

Health Information Systems’ Support for Management and Changing Work: Survey Study Among Physicians

Consequently, physicians have needed to increasingly adopt new digital health technologies (DHTs), such as electronic health record systems (EHRs) and other health information systems (HISs), remote monitoring, artificial intelligence, and robotics [1,2].

Tarja Heponiemi, Lotta Virtanen, Emma Kainiemi, Petra Saukkonen, Jarmo Reponen, Tinja Lääveri

JMIR Med Inform 2025;13:e65913

Exploring Stakeholders’ Perceptions of Using Digital Health Technologies to Improve the Conservative Treatment of Adolescent Idiopathic Scoliosis: Qualitative Study

Exploring Stakeholders’ Perceptions of Using Digital Health Technologies to Improve the Conservative Treatment of Adolescent Idiopathic Scoliosis: Qualitative Study

Smartphone apps can provide periodic monitoring of spinal curvature progression, reducing the need for frequent in-person visits and offering quick consultations and feedback on exercises [21]. Digital health technologies can promote self-management and strengthen patient involvement in monitoring their health conditions [23].

Kamila Sykorova, Anna Mathew, Nenad Pavel, Parisa Gazerani, Trust Saidi, Marianne Bakke Johnsen, June Ullevoldsæter Lystad, Helen Bull, Mette Fløystad Kvammen, Hong-Gu He, Julia Jacoby, Minna Pikkarainen

J Med Internet Res 2025;27:e69089

Changes in Epidemiological Characteristics of Varicella and Breakthrough Cases in Ningbo, China, From 2010 to 2023: Surveillance Study

Changes in Epidemiological Characteristics of Varicella and Breakthrough Cases in Ningbo, China, From 2010 to 2023: Surveillance Study

Varicella monitoring sites were established to conduct proactive monitoring in Ningbo City. Subsequently, health authorities required web-based direct reporting according to the requirements for reporting Class C infectious diseases. Compared to other studies based largely on voluntary case reporting [14-16], this method can more accurately reflect epidemiological characteristics. This study examined the epidemiological characteristics of varicella from 2010 to 2023, revealing significant changes.

Xingqiang Pan, Yan Zhang, Xuefei Zhao, Dandan Zhang

JMIR Public Health Surveill 2025;11:e71691

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study

These guidelines provide recommendations for the use of thermal imaging in the detection and monitoring of diabetic neuropathy, including protocols for image acquisition and interpretation [15]. Figure 1 shows the thermal images of the lower extremities of patients with diabetes. A major limitation of the current state of medical thermography is that even the most skilled human thermographer can only observe, analyze, and successfully interpret a limited number of thermograms.

Meshari F Alwashmi, Mustafa Alghali, AlAnoud AlMogbel, Abdullah Abdulaziz Alwabel, Abdulaziz S Alhomod, Ibrahim Almaghlouth, Mohamad-Hani Temsah, Amr Jamal

JMIR Diabetes 2025;10:e65209

Feasibility of Data Collection Via Consumer-Grade Wearable Devices in Adolescent Student Athletes: Prospective Longitudinal Cohort Study

Feasibility of Data Collection Via Consumer-Grade Wearable Devices in Adolescent Student Athletes: Prospective Longitudinal Cohort Study

Among these technologies, consumer-grade wearable devices such as Fitbit, Apple Watch, and Garmin have garnered considerable attention for their ability to provide continuous, real-time physiological and biomechanical data in order to provide comprehensive monitoring of individual athletes’ health and performance [15,16]. The integration of these devices with standard clinical protocols offers a promising solution to the challenges of recovery monitoring [17-20].

Danielle Ransom, Brant Tudor, Sarah Irani, Mohamed Rehman, Stacy Suskauer, P Patrick Mularoni, Luis Ahumada

JMIR Form Res 2025;9:e54630

Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

These findings underscore the potential of quantitative language analysis as a sensitive and objective measure for monitoring disease trajectories and treatment efficacy. Recent advancements in large language models (LLMs) have opened up exciting possibilities for quantitative assessment of neurological diseases [7,8].

Ryan Allen Shewcraft, John Schwarz, Mariann Micsinai Balan

JMIR AI 2025;4:e67369

A Just-in-Time Adaptive Intervention (Shift) to Manage Problem Anger After Trauma: Co-Design and Development Study

A Just-in-Time Adaptive Intervention (Shift) to Manage Problem Anger After Trauma: Co-Design and Development Study

Recent research using wearables and regular mood monitoring delivered via smartphone have shown promise [9]. Despite the potential, there are many challenges to the development of innovative digital mental health tools for anger. First, the overwhelming majority of research into digital mental health tools has focused on depression and anxiety, and the foundation for building anger-focused digital solutions is limited and nonspecific [10].

Olivia Metcalf, David Forbes, Lauren M Henry, Tianchen Qian, Tracey Varker, Melissa A Brotman, Sean Cowlishaw, Karen E Lamb, Meaghan L O'Donnell

JMIR Hum Factors 2025;12:e62960