IntroductionHearing challenges are prevalent in older adults and are associated with age-related cognitive decline. However, measuring age-related changes in hearing faces critical barriers related to accessibility and scalability. High-fidelity tests of central auditory functions are often unavailable to the individuals for whom auditory monitoring is most critical, particularly older adults.MethodsThis study evaluated the feasibility and […]
Why health information technology safety problems remain invisible
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Why digital health fails silently: a sociotechnical theory of health information technology–related risk
IntroductionHealth information technology (HIT) is now integral to healthcare delivery, supporting clinical documentation, prescribing, diagnostics, and care coordination. Although these technologies offer substantial benefits, they have also introduced new patient safety risks that are often difficult to anticipate, detect, or manage. Many HIT-related safety problems arise not from isolated technical failures or individual mistakes, but […]
Unburdening healthcare systems through telenursing in chronic respiratory disease management: a systematic review
Background/objectivesChronic respiratory diseases represent a major cause of morbidity/mortality and healthcare expenditure due to disease exacerbations, emergency department (ED) presentations, hospitalizations, and length of stay (LOS). This systematic review primarily aimed to evaluate the impact on the healthcare system of telenursing vs. traditional nursing care in the management of adults (≥18 years) with chronic respiratory […]
Human-supervised, large language model-based clinical decision support aligned to national newborn protocols in Kenya: a pragmatic, early-stage evaluation
IntroductionTimely, protocol-adherent clinical decisions are crucial for reducing neonatal mortality in low-resource settings. Translating extensive national guidelines into bedside practice remains challenging.ObjectiveWe developed and evaluated AIFYA, a human-supervised, large language model (LLM)-based clinical decision support system (CDSS) aligned with Kenya’s national newborn care protocols.MethodsThis prospective, mixed-methods, early-stage evaluation, guided by the DECIDE-AI framework, embedded AIFYA […]
Understanding the value of virtual care technologies: development of a framework in the veterans health administration
IntroductionHealthcare systems, including the Veterans Health Administration (VHA), are facing tremendous growth in virtual care technologies that are intended to foster connections between patients, informal caregivers, and healthcare team members. The adoption of some of these virtual care technologies was accelerated by the onset of the COVID-19 pandemic, emphasizing the need to more comprehensively and […]
A pilot study of human–AI conversational interaction and its impact on loneliness and wellbeing
IntroductionWith the growing accessibility of advanced artificial intelligence (AI) chatbots, there is a need to understand their impact on users’ psychological wellbeing. This pilot study aimed to explore the subjective experiences of human–AI conversational interaction and its potential relationship with loneliness and life satisfaction.MethodsA mixed-methods study was conducted among 19 psychology students who voluntarily chose […]
Using GPT-4 to annotate the severity of all phenotypic abnormalities within the human phenotype ontology
IntroductionThe Human Phenotype Ontology (HPO) provides a unified framework cataloguing over 17,500 phenotypic abnormalities across more than 8,600 rare diseases, defining hierarchical relationships between them. For example, classifying missing arms and missing legs as both abnormalities of the limb. This structure enables phenome-wide analyses, including the prioritisation of phenotypes as candidates for gene therapy. However, […]
Deep learning for stress oriented human activity recognition
IntroductionHuman Activity Recognition (HAR) using sensor-generated time-series data has gained significant attention for assessing mental and physical states to address various behavioral disorders. This study utilizes benchmark datasets of stress-related activities to improve prediction performance.MethodsTo achieve this, we employ multiple deep learning architectures, including Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and Transformer […]
Generative AI as a de facto mental health provider: a policy brief and urgent call for regulation
Generative AI platforms such as ChatGPT, Claude, and Gemini have become de facto mental health resources for millions of users worldwide, driven by accessibility, low cost, anonymity, and growing gaps in professional care. This rapid, unregulated adoption raises urgent concerns: misinformation from AI hallucinations, erosion of data privacy, algorithmic bias, emotional dependency, and the undermining […]
Artificial intelligence based predictive models for early sepsis detection in intensive care units: a scoping review
BackgroundEarly detection of sepsis in intensive care units remains a major clinical challenge. Artificial intelligence based predictive models have emerged as promising tools to support early identification of sepsis, yet their clinical readiness and methodological robustness remain heterogeneous.ObjectiveTo map and critically synthesize the available evidence on artificial intelligence based predictive models for early sepsis detection […]
A mobile intervention to reduce pain and improve health-III: protocol for a remotely delivered randomized controlled trial of physical activity for pain management in older adults with obesity and knee or hip osteoarthritis
As many as three in four older adults live with chronic pain, and osteoarthritis is a leading cause of chronic pain in older adults. Knee and hip osteoarthritis being the most common forms of the condition. Osteoarthritis symptoms are worsened by low levels of physical activity, excess sustained sedentary time, weight gain, and social isolation, […]