ArticleDermatology (Basel, Switzerland)2021
Implementing Medical Chatbots: An Application on Hidradenitis Suppurativa.
Article in Dermatology (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
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Who cites it
7 citing papers in PubMed.
- How Digital Solutions Might Provide a World of New Opportunities for Holistic and Empathic Support of Patients with Hidradenitis Suppurativa.Dermatology and therapy · 2024Article
- Can Artificial Intelligence "Hold" a Dermoscope?-The Evaluation of an Artificial Intelligence Chatbot to Translate the Dermoscopic Language.Diagnostics (Basel, Switzerland) · 2024Article
- Consensus Guidelines for Teledermatology: Scoping Review.JMIR dermatology · 2023Article
- Pharmacogenomic Clinical Decision Support: A Review, How-to Guide, and Future Vision.Clinical pharmacology and therapeutics · 2022Review
- The Challenge Arising from New Knowledge about Immune and Inflammatory Skin Diseases: Where We Are Today and Where We Are Going.Biomedicines · 2022Article
- Perspectives on Telemedicine during the Era of COVID-19; What Can Saudi Arabia Do?International journal of environmental research and public health · 2021Review
- Insights into the Pathogenesis of HS and Therapeutical Approaches.Biomedicines · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of digital health resources is growing quickly as they are easily accessible and permit self-evaluation. Yet, research on consumer health informatics platforms is insufficient. Chatbots, interactive conversational platforms based on artificial intelligence, can facilitate access to specific information. Hidradenitis suppurativa (HS) is burdensome and has a high threshold for consultation.
objectivesWe aimed to identify the most important principles for the assembly of medical chatbots through the analysis of usage data.
methodsThe HS Chatbot<A51_FootRef>1</A51_FootRef> is a question-and-answer platform in the style of a chatbot. Usage data were collected over the course of a year. 254 responses were statistically analysed.
results239 users were alleged patients. 82.9% were looking for a tentative diagnosis. The users were on average 32.49 (±11.33) years old and predominantly female (70.2%). The average number of clicks per visit on the website was 14.69 (±8.83).
conclusionsA medical chatbot has to be customised to the specific subject whilst general principles have to be considered. High-quality information has to be available in just a few clicks. People concerned about HS are looking for a diagnosis online and often have not seen a doctor previously. Guidance towards appropriate care should be provided.
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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 OpenQuestion graph.