Informatics for Health & Social Care

Papers
(The median citation count of Informatics for Health & Social Care is 2. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Perceptions and Attitudes toward a Proposed Digital Health Physical Activity Program among Older Family Caregivers of Persons with Heart Failure: A Qualitative Study111
Information security and privacy in hospitals: a literature mapping and review of research gaps72
Empowering the digital health workforce in Latin America in the context of the COVID-19 pandemic: the Peruvian case50
Predicting COVID-19 new cases in California with Google Trends data and a machine learning approach46
Evaluating and refining a pain quality information visualization tool with patients and interpreters to facilitate pain assessment in primary care settings27
Identifying biological markers and sociodemographic factors that influence the gap between phenotypic and chronological ages19
Usability testing of a mobile health application to support individuals with active tuberculosis: a mixed methods study18
Technology in psychology: a bibliometric analysis of technology-based interventions in clinical and health psychology18
Older adults’ views on training tools to prevent cognitive decline16
Impact of data visualization on decision-making and its implications for public health practice: a systematic literature review13
Residents’ subjective mental workload during computerized prescription entry13
Digital transformation of the mobile connected pharmacy: a first step toward community pharmacy 5.012
Security, privacy, and healthcare-related conversational agents: a scoping review12
Recruitment and retention in mobile application-based intervention studies: a critical synopsis of challenges and opportunities11
A systematic review of data elements of computerized physician order entry (CPOE): mapping the data to FHIR11
Factors that predict the acceptance and adoption of smart home technology by seniors in Australia: a structural equation model with longitudinal data10
Validation of the eHealth literacy scales: comparison between the shorter and longer versions10
A digital health application for managing pediatric asthma: Use and benefits9
Self-care intervention using mobile apps for sexual and reproductive health in the WHO Eastern Mediterranean Region9
GEMAR: web-based GIS for emergency management and ambulance routing8
Choice of measurement approach for area-level social determinants of health and risk prediction model performance7
Persuasive features for patient engagement through mHealth applications in managing chronic conditions: A systematic literature review and meta-analysis7
A response to comparison of different predicting models to assist the diagnosis of spinal lesions, Chu et al. 20217
Perceptions of patients and nurses regarding the use of wearables in inpatient settings: a mixed methods study6
Identifying the underlying factors associated with antidepressant drug discontinuation: content analysis of patients’ drug reviews6
How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining6
The impact of electronic health record functions on patterns of depression treatment in primary care6
Alzheimer’s in the modern age: Ethical challenges in the use of digital monitoring to identify cognitive changes6
Personalized medicine meets artificial intelligence: beyond “hype”, towards the metaverse6
A digital health ecosystem ontology from the perspective of Australian consumers: a mixed-method literature analysis5
A user-centered chatbot to identify and interconnect individual, social and environmental risk factors related to overweight and obesity4
Changes in patient portal adoption due to the emergence of COVID-19 pandemic4
Behavioral signs of an unintended error in nursing information sharing with electronic clinical pathways: a mixed research approach4
Computer vision-based system for early diagnosis of stereoscopic vision alterations3
“Alexa, did the pandemic make you smarter?” A follow up content analysis of a virtual assistant’s responses to a prenatal query3
Older adults’ perceptions of community-based telehealth wellness programs: a qualitative study3
User-centred design of a patient portal for persons living with home mechanical ventilation and long-term tracheostomy: a mixed methods study3
SLB - SMOTE logistic blending hybrid machine learning model for chronic polycystic ovary syndrome prediction with correlated feature selection3
Key factors of clinicians’ acceptance of CPOE system and their link to change management3
Effects of Healthcare Technologies on the Promotion of Physical Activities in Older Persons: A Systematic Review2
A codesigned web platform for reducing social isolation and loneliness in older people: a feasibility study2
Old age or cognitive decline? Examining the usability of a mobile health app for older Australians2
Adherence, acceptability, and usability of a smartphone app to promote physical exercise in patients with peripheral arterial disease and intermittent claudication2
Multimorbidity in neurodegenerative diseases: a network analysis2
Social welfare professionals willing to participate in client information system development – Results from a large cross-sectional survey2
Maternal health expert feedback on the attributes of a predictive analytics tool to improve pregnancy-related cardiovascular and mental health outcomes in the United States2
Machine learning-based prediction of adherence to continuous positive airway pressure (CPAP) in obstructive sleep apnea (OSA)2
Model and variable selection using machine learning methods with applications to childhood stunting in Bangladesh2
Heart sound recognition technology based on convolutional neural network2
Perceptions of pre-licensure nursing students toward telecare and telenursing2
Impact of patient access to their electronic health record: systematic review2
The effects of extrinsic reward that affect a user’s continuous intention to use a fitness application2
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