ArticleFrontiers in medicine2024
Awareness and intention-to-use of digital health applications, artificial intelligence and blockchain technology in breast cancer care.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Assessing the effectiveness of artificial intelligence education and training for healthcare workers: a systematic review.BMC medical education · 2026Pooled it
- Artificial intelligence (AI) for social innovation in health education: promoting health literacy through personalized ai-driven learning tools - a systematic review.BMC medical education · 2025Pooled it
- Digital maternity care in Germany: a cross-sectional web-based survey on midwives' perceptions.Archives of gynecology and obstetrics · 2026Article
- Exploring the eHealth literacy and related influencing factors in patients after lung cancer surgery: A latent profile analysis.Asia-Pacific journal of oncology nursing · 2025Article
- Evaluating adult digital health literacy, 2020-2025: A systematic review.PLOS digital health · 2025Article
- Digital empowerment on hold: DiGA adoption gaps-a German national cross-sectional patient survey study.Rheumatology international · 2025Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging digital technologies promise to improve breast cancer care, however lack of awareness among clinicians often prevents timely adoption. This study aims to investigate current awareness and intention-to-use of three technologies among breast cancer healthcare professionals (HCP): (1) digital health applications (DHA), (2) artificial intelligence (AI), and (3) blockchain technology (BC). A 22-item questionnaire was designed and administered before and after a 30 min educational presentation highlighting technology implementation examples. Technology awareness and intention-to-use were measured using 7-point Likert scales. Correlations between demographics, technology awareness, intention-to-use, and eHealth literacy (GR-eHEALS scale) were analyzed. 45 HCP completed the questionnaire, of whom 26 (57.8%) were female. Age ranged from 24 to 67 {mean age (SD): 44.93 ± 12.62}. Awareness was highest for DHA (68.9%) followed by AI (66.7%) and BC (24.4%). The presentation led to a non-significant increase of intention-to-use AI {5.37 (±1.81) to 5.83 (±1.64)}. HCPs´ intention-to-use BC after the presentation increased significantly {4.30 (±2.04) to 5.90 (±1.67),
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.