Informatics for Health & Social Care

Papers
(The TQCC of Informatics for Health & Social Care is 4. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Predicting COVID-19 new cases in California with Google Trends data and a machine learning approach45
Usability testing of a mobile health application to support individuals with active tuberculosis: a mixed methods study25
Fuzzy logic applications in chronic disease in decision-making: a comprehensive healthcare review22
Integrating artificial intelligence in physical therapy: a quasi-experimental study comparing conventional treatment with a hybrid intervention using telerehabilitation for workers with whiplash syndr21
Adaptation of Extended eHealth Literacy Scale (eHEALS-E) in Turkish: validity and reliability analysis16
A digital health application for managing pediatric asthma: Use and benefits16
“Alexa, did the pandemic make you smarter?” A follow up content analysis of a virtual assistant’s responses to a prenatal query12
The effects of extrinsic reward that affect a user’s continuous intention to use a fitness application9
Usability testing of a palliative care information resource - outcomes from the formative evaluation of the CarerHelp Toolkit prototype8
Implementation of a patient-centered mobile shared decision making platform and healthcare workers’ evaluation: a case in a medical center6
Click, care, connect: incorporating nursing informatics into undergraduate nursing curricula6
A critical review of geriatric care in India with regard to the needs, challenges and opportunities: a wearable care approach5
Perceptions of patients and nurses regarding the use of wearables in inpatient settings: a mixed methods study5
Empowering the digital health workforce in Latin America in the context of the COVID-19 pandemic: the Peruvian case5
Validation of the eHealth literacy scales: comparison between the shorter and longer versions5
Automatic user sentiments extraction from diabetes mobile apps – An evaluation of reviews with machine learning4
Maternal health expert feedback on the attributes of a predictive analytics tool to improve pregnancy-related cardiovascular and mental health outcomes in the United States4
Machine learning models to predict the COVID-19 reproduction rate: combining non-pharmaceutical interventions with sociodemographic and cultural characteristics4
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