Informatics for Health & Social Care

Papers
(The TQCC of Informatics for Health & Social Care is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Residents’ subjective mental workload during computerized prescription entry57
Predicting COVID-19 new cases in California with Google Trends data and a machine learning approach49
Usability testing of a mobile health application to support individuals with active tuberculosis: a mixed methods study34
A digital health application for managing pediatric asthma: Use and benefits24
“Alexa, did the pandemic make you smarter?” A follow up content analysis of a virtual assistant’s responses to a prenatal query19
Usability testing of a palliative care information resource - outcomes from the formative evaluation of the CarerHelp Toolkit prototype18
The effects of extrinsic reward that affect a user’s continuous intention to use a fitness application18
Implementation of a patient-centered mobile shared decision making platform and healthcare workers’ evaluation: a case in a medical center15
A critical review of geriatric care in India with regard to the needs, challenges and opportunities: a wearable care approach14
Empowering the digital health workforce in Latin America in the context of the COVID-19 pandemic: the Peruvian case14
Security, privacy, and healthcare-related conversational agents: a scoping review13
Validation of the eHealth literacy scales: comparison between the shorter and longer versions12
Perceptions of patients and nurses regarding the use of wearables in inpatient settings: a mixed methods study11
Maternal health expert feedback on the attributes of a predictive analytics tool to improve pregnancy-related cardiovascular and mental health outcomes in the United States10
Social welfare professionals willing to participate in client information system development – Results from a large cross-sectional survey7
Key factors of clinicians’ acceptance of CPOE system and their link to change management6
Machine learning models to predict the COVID-19 reproduction rate: combining non-pharmaceutical interventions with sociodemographic and cultural characteristics6
Automatic user sentiments extraction from diabetes mobile apps – An evaluation of reviews with machine learning5
Telemedicine solutions for patients with mental disorders: a Delphi study and review of mobile applications in virtual stores5
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