Research graph
References from Use of mHealth Apps by General and Family Medicine Physicians in Portugal: Observational Cross-Sectional Quantitative Study. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Os cuidados de saúde primários em Portugal: uma história de mais de 50 anos – a perspetiva de um futuro médico de família [Article in Portuguese]
10.32385/rpmgf.v39i4.13732 · External reference
A new future for family medicine/general practice in Portugal
10.32385/rpmgf.v40i4.14011 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
O futuro da medicina geral e familiar em Portugal [Article in Portuguese]
10.32385/rpmgf.v41i1.14245 · External reference
Unresolved reference
External reference
What is eHealth (6)? Development of a conceptual model for eHealth: qualitative study with key informants
10.2196/jmir.8106 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
A review of the quality and impact of mobile health apps
10.1146/annurev-publhealth-052020-103738 · External reference
The use of health apps in primary care—results from a survey amongst general practitioners in Germany
10.1007/s10354-021-00814-0 · External reference
Perceptions on mobile health in the primary healthcare setting in Belgium
10.21037/mhealth.2018.09.01 · External reference
Current knowledge and adoption of mobile health apps among Australian general practitioners: survey study
10.2196/13199 · External reference
The use of mobile phone and medical apps among general practitioners in Hangzhou City, Eastern China
10.2196/mhealth.4508 · External reference
Knowledge, attitudes, and practices toward artificial intelligence in medicine among Chinese physicians: a cross-sectional study from January to March 2024 with analysis of influencing factors
10.1016/j.ijmedinf.2026.106476 · External reference
Identifying factors influencing acceptance of artificial intelligence among general practitioners in Danish general practice: a cross-sectional web-based survey study
10.1080/02813432.2026.2667990 · External reference
Perceptions of, barriers to, and facilitators of the use of AI in primary care: systematic review of qualitative studies
10.2196/71186 · External reference
Knowledge, attitude, and practice of primary care physicians toward clinical AI-assisted digital health technologies: systematic review and meta-analysis
10.1016/j.ijmedinf.2025.105945 · External reference
Recommendations of digital health applications to patients by Portuguese General Practitioners: a cross-sectional study
10.1080/13814788.2025.2567457 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Security and privacy analysis of mobile health applications: the alarming state of practice
10.1109/access.2018.2799522 · External reference
Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) evidence reporting and assessment (mERA) checklist
10.1136/bmj.i1174 · External reference
Video consultations for COVID-19
10.1136/bmj.m998 · External reference
Unresolved reference
External reference
Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions
10.1016/s2468-2667(25)00036-2 · External reference
Unresolved reference
External reference
Improving the quality of web surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES)
10.2196/jmir.6.3.e34 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Understanding psychosocial barriers to healthcare technology adoption: a review of TAM Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology and UTAUT frameworks
10.3390/healthcare13030250 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Mobile health technology and healthcare providers: systemic barriers to adoption
10.4258/hir.2021.27.4.267 · External reference
Peer perceptions of clinicians using generative AI in medical decision-making
10.1038/s41746-025-01901-x · External reference