Medical emoji for clinical signs and symptoms: a comprehensive qualitative study
assadi, r.; lotfinejad, n. l.; Ziaee, a.; ganjali, b.
Show abstract
IntroductionEmojis have surpassed facial expressions and they are now widely used to deliver complex concepts by representing graphical expressions in the digital platform. In this study, we endeavored to develop medical emojis for clinical signs and symptoms to be used as tools for text-based counselling. MethodsThe present study was conducted using the Delphi method with medical studnets and general practitioners, drawing and discussing in several repeated rounds. For this purpose, about 100 clinical signs/symptoms were considered using the ICD-10 website. ResultsIn the present study, from one hundred signs and symptoms we reached to 85 signs/symptoms that after first round of sessions were illustrated. Out of these 85 eligible emojis, 4 cases were removed due to the lack of consensus. The rest of the emojis were finalized and prepared by the graphic designer. These emojis then were published online to collect online votes. ConclusionIn this study, we could design up to 81 medical emojis presenting clinical sign and symptoms with acceptable consensus between the participants. These emojis were reasonably acceptable by our panelists in presenting the established clinical concepts.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A Web-based, Mobile Responsive Application to Screen Healthcare Workers for COVID Symptoms: Descriptive Study 94%
- Applications and barriers to use of an mHealth iPhone application for self-management of chronic recurrent medical conditions: A Pilot Study 93%
- Is virtual care the new normal? Evidence supporting Covid-19’s durable transformation on healthcare delivery 92%
Similar papers in this journal
- Impact of electronic medical records on healthcare delivery in Nigeria: A Review 94%
- Defining Destigmatizing Design Guidelines for Use in Sexual Health-Related Digital Technologies: A Delphi Study 94%
- Views and experiences of young people on using mHealth platforms for sexual and reproductive health services in rural low- and middle-income countries: a qualitative systematic review 94%
Similar papers in this journal
- Knowledge, attitude, and practice related to the COVID-19 pandemic among undergraduate medical students in Indonesia: a nationwide cross-sectional study 95%
- Protocol: Waiting time and ways of accessing specialized health services in public hospitals in Ecuador 94%
- Strengthening government’s response to COVID-19 in Indonesia: a modified Delphi study of medical and health academics 94%
Similar papers in this journal
- Health indicators as a measure of individual health status: public perspectives 94%
- Artificial Intelligence (AI)-based Chatbots in Promoting Health Behavioral Changes: A Systematic Review 93%
- Improving Patient Engagement in Phase 2 Clinical Trials with a Trial-specific Patient Decision Aid (tPDA): A Development and Usability Study 93%
Similar papers in this journal
- Telemedicine Ready or Not? a cross-sectional assessment of telemedicine maturity of federally funded tertiary health institutions in Nigeria 94%
- Validating a Clinical Decision Support System for Palliative Care using healthcare professionals’ insights 93%
- Enhancing Uploads of Health Data in the Electronic Health Record - The Role of Framing and Length of Privacy Information 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.