BackgroundSocial media provides timely proxy signals of mental health, but reliable tweet-level classification of depression subtypes remains challenging due to short, noisy text, overlapping symptomatology, and labeling bias. Large language models (LLMs) are increasingly used in mental health for tasks such as symptom extraction, risk screening, and triage, yet their reliability for fine-grained depression subtype […]
Chatbots as frontline educators in sexual reproductive health rights: evidence, limitations, and ethical considerations
Chatbots are increasingly used in digital health to expand access to information and support user engagement. In sexual and reproductive health and rights (SRHR), where stigma, privacy concerns, and health system constraints often limit timely access to accurate information, chatbots have been proposed as scalable tools for delivering education and facilitating service navigation. This perspective […]
AI-enabled cardiovascular devices: a lifecycle playbook for evidence, change control, and post-market assurance
AI-enabled cardiovascular devices are increasingly used in imaging, physiological signal analysis, and clinical decision support systems. Despite growing clinical adoption, requirements for evidence generation, software change management, and post-deployment assurance remain fragmented across jurisdictions and are often difficult to translate into operational processes within healthcare organizations. This review synthesizes common foundations of software as a […]
Anonymization, accountability, and access: legal dimensions of health data sharing in federated networks. Perspectives from empirical study
This paper explores the perspectives of stakeholders involved in federated networks for health data sharing, focusing on the legal and practical dimensions of data protection and governance under GDPR and EHDS in the development of such infrastructures. Using a qualitative approach centered on perspectives of 19 experts with experience in projects building federated networks, it […]
From bedside to bytes: the digital transformation of the healthcare workforce
Digital transformation is reshaping healthcare work, whereas research on workforce implications remains fragmented across disciplines. Effects like burnout, resistance, and workflow disruption are often framed as implementation failures rather than systematic outcomes of how work is reorganized. This Mini Review advances a four-dimensional analytical lens distinguishing work execution (task distribution, sequencing, temporal organization), work experience […]
Structuring integration for patient-centered care: a review-informed ontology-driven modular front-end framework for digital health innovation
BackgroundSemantic interoperability remains a significant barrier in healthcare, particularly when integrating patient-reported, clinical, and genomic data to enable personalized care. Existing models rarely focus on patient-centered, ontology-driven front-end architectures based on widely adopted standardized medical ontologies and terminologies. Within broader Personal Health Data Space (PHDS) initiatives, such integration increasingly depends on front-end frameworks that enable […]
Extraction and processing of intensive care chart data from a patient data management system
BackgroundRoutine clinical data captured in Patient Data Management Systems (PDMS) in intensive care and perioperative settings are an invaluable resource for clinical research. However, the proprietary, fragmented, and transaction-oriented architecture of many systems severely limits secondary data use and requires extensive Extract, Transform, and Load (ETL) processing.MethodsWe developed a modular, Python-based ETL framework that enables […]
Decoding perceived risks in online healthcare services: a safety–trust model based on grounded theory
IntroductionThe rapid rise of online healthcare services (OHSs) in China has improved access to medical information and services while creating new uncertainties related to quality, security, and trust. This study aims to deepen the understanding of perceived risk in OHSs and provide empirical guidance for digital health governance, patient safety strategies, and the development of […]
An in-home engagement and usability study of GeRI: an open-source platform for remote symptom assessment and wearable activity monitoring in men with prostate cancer
Geriatric assessment (GA) is underused in oncology because clinic-based implementation is time- and resource-intensive, limiting routine evaluation of frailty and treatment tolerance. Existing digital tools often rely on proprietary devices and closed analytic pipelines. We developed the Geriatric Remote Initiative (GeRI), an open-source platform integrating a wrist-worn accelerometer, smart scale, and tablet interface with reproducible […]
“Reimaging a triage system with midwives, for midwives”: exploring preferences for a midwife-Led triage system in South Africa through a user-centered approach
IntroductionTriage in the maternity unit is critical to ensuring the delivery of timely and appropriate care. It is regarded as an initiative to reduce maternal mortality by accelerating the provision of appropriate care at the appropriate time. However, maternity units in South Africa lack standardized triage systems. Most pregnant women often wait for hours and […]
Technology-driven diabetes care: innovation without equity?
Post Content
Thematic landscapes and temporal trends of disability technology adoption: insights from Structural Topic Modelling
IntroductionIn recent years, the importance of accessible and inclusive technologies has increasingly supported people with disabilities. However, prior studies on the adoption of technology remain fragmented, often focusing on specific disabilities or tools without exploring broader connections. Addressing this, the current study addresses the gaps by identifying core topics, examining temporal variations, and analyzing interrelations […]