ArticleBMC health services research2025
Digitalizing informed consent in healthcare: a scoping review.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Integrating Artificial Intelligence into Orthopedic Practice: Modeling Attitudes and Intentions to Use AI.Healthcare (Basel, Switzerland) · 2026Article
- [Before the examination: digital check-in].Radiologie (Heidelberg, Germany) · 2026Review
- Streamlining Informed Consent for Urinary Diversion Using an Artificial Intelligence-Generated Avatar System: A Novel Approach to Physician Work-Style Reform.International journal of urology : official journal of the Japanese Urological Association · 2026Article
- Exploring AI Driven Autonomous Vehicles as Mobile Health Units to Expand Access to Healthcare in Underserved Communities.Journal of epidemiology and global health · 2026Review
- Liability in Telesurgery: Navigating Legal, Ethical, and Cross-Border Challenges in the Era of Global Surgical Care.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2026Review
- Not all information is equally important: informed consent to genetic testing for hereditary cancer.Journal of cancer research and clinical oncology · 2026Article
- Ethical oversight of AI-driven paediatric trials: a proactive, risk-sensitive interim review model.Frontiers in digital health · 2026Article
- From silenced shock to strategic resilience: a longitudinal qualitative study of nurse residents' trajectory in coping with patient verbal abuse.Frontiers in psychology · 2026Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundTraditional paper-based informed consent for medical procedures poses a number of challenges, such as low comprehensibility, lack of customization, and limited time for discussion with medical staff. Digitalization, especially in light of the rapid development of AI-based technologies, could provide a solution.
methodsThis scoping review explores the digitalization of the consent process, focusing on the types of technologies used, their role in the consent process, evaluation results, and success factors for implementation. Following the guidance of the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis for scoping reviews, we searched various databases and platforms (Web of Science, EBSCOHost, PubMed and PubPsych) for eligible articles published between January 2012 and June 2024.
resultsTitle and abstract screening of 4287 records resulted in the inclusion of 27 studies for analysis. The findings suggest that digitalizing the consent process can enhance recipients' understanding of clinical procedures, potential risks and benefits, and alternative treatments. Mixed evidence exists on patient satisfaction, convenience, and perceived stress. The limited research on healthcare professionals indicates that time savings are the major benefit. AI-based technologies seem to be not yet suitable for use without medical oversight.
conclusionsOverall, few interactive technologies have been evaluated in the patient consent process, and only recently have studies started to examine the use of AI technologies. This indicates an early stage of the digitalization of patient consent for medical diagnosis and treatment. However, there is great potential to optimize the consent process for both patients and healthcare professionals. Methodologically sound studies are needed to validate these findings.
trial registrationThe scoping review was initially preregistered with PROSPERO (CRD42023397681) as a systematic review. The reasons for the change to a scoping review are outlined in the registration, while the systematic approach to data extraction and analysis was maintained.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.