ArticleJournal of personalized medicine2023
Assessing the Potential Risks of Digital Therapeutics (DTX): The DTX Risk Assessment Canvas.
Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 12 citations in OpenAlex.
- SAFE_DTx: Safety-First Framework for AI-Driven Personalization in Digital Therapeutics.JMIR medical informatics · 2026Article
- Diving into the Regulatory Landscape of Digital Therapeutics.Therapeutic innovation & regulatory science · 2026Review
- Review of the Use of Digital Therapeutics for Obesity Treatment: Toward a Psychological Phenotyping.Advances in nutrition (Bethesda, Md.) · 2026Review
- Mitigating Blue-Light Risk in Display-Based Digital Therapeutics: A Practical Framework to Support Clinical Efficacy.Journal of clinical medicine · 2026Review
- Digital Therapeutics for Alzheimer's and Parkinson's Diseases: Current Trends and Future Perspectives.Medicinal research reviews · 2026Review
- Integrating digital therapeutics for patients with mental illness into clinical practice: perspectives for US healthcare professionals.Frontiers in public health · 2026Review
- Persuasive chatbot-based interventions for depression: a list of recommendations for improving reporting standards.Frontiers in psychiatry · 2025Article
- Co-Creation in the Development of Digital Therapeutics: A Narrative Review.International journal of environmental research and public health · 2024Review
- Selected Papers from the pHealth 2022 Conference, Oslo, Norway, 8-10 November 2022.Journal of personalized medicine · 2024Article
- Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks.Journal of medical systems · 2024Review
- The ethical aspects of integrating sentiment and emotion analysis in chatbots for depression intervention.Frontiers in psychiatry · 2024Article
- Potential and pitfalls of conversational agents in health care.Nature reviews. Disease primers · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationDigital therapeutics (DTX), i.e., health interventions that are provided through digital means, are increasingly available for use; in some countries, physicians can even prescribe selected DTX following a reimbursement by health insurances. This results in an increasing need for methodologies to consider and monitor DTX's negative consequences, their risks to patient safety, and possible adverse events. However, it is completely unknown which aspects should be subject to surveillance given the missing experiences with the tools and their negative impacts.
objectiveOur aim is to develop a tool-the DTX Risk Assessment Canvas-that enables researchers, developers, and practitioners to reflect on the negative consequences of DTX in a participatory process.
methodTaking the well-established business model canvas as a starting point, we identified relevant aspects to be considered in a risk assessment of a DTX. The aspects or building blocks of the canvas were constructed in a two-way process: first, we defined the aspects relevant for discussing and reflecting on how a DTX might bring negative consequences and risks for its users by considering ISO/TS 82304-2, the scientific literature, and by reviewing existing DTX and their listed adverse effects. The resulting aspects were grouped into thematic blocks and the canvas was created. Second, six experts in health informatics and mental health provided feedback and tested the understandability of the initial canvas by individually applying it to a DTX of their choice. Based on their feedback, the canvas was modified.
resultsThe DTX Risk Assessment Canvas is organized into 15 thematic blocks which are in turn grouped into three thematic groups considering the DTX itself, the users of the DTX, and the effects of the DTX. For each thematic block, questions have been formulated to guide the user of the canvas in reflecting on the single aspects.
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.