Preliminary survey findings on PharmaBot – a retrieval-augmented chatbot for insulin safety information and pharmacovigilance support
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
Home Articles About About Pensoft Books Journals Blog Register | Login Research Article Pharmacia 73: 1-6 https://doi.org/10.3897/pharmacia.73.e192726 (15 Apr 2026) Other versions: (Verbatim name) ID (Catalog Number) DES Invalid DOI was provided, please try again XML PDF Bluesky Twitter Facebook Telegram Mendeley Reddit Notify a colleague Contents Contents Article Info Article Info Cite Cite Metrics Metrics Comment Comment Related Related Figs Figs Tabs Tabs Refs Refs Cited Cited Article title Abstract Keywords Introduction Materials and methods Study design, participants, and recruitment process System description Validated information sources Survey instrument Ethics and data protection Statistical analysis Results Participant characteristics Chatbot acceptability outcomes Intended use cases and pharmacovigilance linkage ADR-related experience and behavior Discussion Conclusion Additional information References Subscribe to email alerts for current Article's categories Powered by This website uses cookies in order to improve your web experience. Read our Cookies Policy OK
Related documents
- PROMBot: A Web Platform for Collecting Outcomes for Hypertension Patients Via a Chatbot#801681
- Periodic Use of Continuous Glucose Monitoring With Personalized Diet Interventions Using AI Camera Among Non-insulin Treated Type 2 Diabetes#1112912
- Artificial Intelligence-Driven Digital Tools for Diabetes Self-management in Children: A Scoping Review#1038707
- Management of Diabetes in the Emergency Room: a Randomized Trial of an Insulin Protocol.#800864
- Assessing Readability of Skin Cancer Screening Resources: A Comparison of Online Websites and ChatGPT Responses.#247832
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive