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Have you got a great idea, a research project, or a classroom innovation you’re excited about? Now is the perfect time to share it — the call for proposals for the English for Healthcare: From Expertise to Practice International Conference 2026 is still open!
This is a fantastic opportunity to connect with fellow educators and researchers, spark meaningful conversations, and showcase the work you’re doing in the English for healthcare classroom. Whether you want to explore AI and technology in teaching, discuss best practice in assessment, or share how you’re reinventing your role as an educator, this conference wants to hear from you.
You can submit a 30-minute presentation, a hands-on 45-minute workshop, or an academic poster — whatever format suits your work best.
Don’t miss your chance to engage and inspire delegates from around the world.
In this thought-provoking webinar Professor Elena Semino introduced ‘Applying Corpus Linguistics to Illness and Healthcare’ (Cambridge University Press, 2025) a book she co-authored. In particular, she described the role of metaphors in healthcare communication and the frequency of collocations used around the word “pain” (chapter 2), “cancer” (chapter 9), and “vaccine” (chapter 11).
The McGill Pain Questionnaire is a self-reporting tool for patients which includes a list of descriptors used to assess the quality of their pain. Researchers have long discussed concerns about the validity of the questionnaire, in particular how well patients understand the descriptors. Elena and her team studied the comprehensibility of these descriptors in relation to the frequency of descriptor occurrence in corpora and collocations associated with pain intensity.
They found that “the choice of descriptor is explicable largely or entirely in terms of strength of the collocation link from the word “pain” to that descriptor”.
Recent NHS policy on cancer-related metaphors has shifted the perspective from “fighting/losing the battle” to the “cancer journey”. The researchers explored the link between the violence metaphors and patient feelings of empowerment. Elena and her team developed a “Metaphor Menu” – a downloadable PDF leaflet offering a collection of metaphors to describe one´s cancer experience. It is already available in Spanish and Italian, with more languages on the way.
Elena also recommended a classic essential read on military metaphors: “Illness as Metaphor” by Susan Sontag (1979).
The MMR vaccine Twitter corpus is a compilation of tweets in which both “MMR vaccine” and “covid”/”covid vaccine” are mentioned together in contrast – framing the MMR vaccine as effective and the covid vaccine as non-effective.
The analysis revealed differences in how the two vaccines are discussed. The MMR vaccine is presented as a “real vaccine” – one that “stops transmission”, while the covid vaccine is more commonly associated with words like “shot” or “jab”, placing it in the same category as the flu vaccine, thus having an unknown effect.
Join us for an inspiring event where strong historical foundations in healthcare teaching and research come together with today’s challenges in medical and language education. This year we will be partnering with Jagellonian University Medical College in Kraków, Poland, and its Language Centre.
The call for proposals is OPEN now. We are looking for proposals on the following themes:
The partnership with Jagellonian University enables EALTHY to broaden the scope of expertise, perspectives, and opportunities offered to conference participants.
Jagellonian University Medical College boasts over 650 years of tradition in medical and language education and research. The Faculty of Medicine, founded in 1364, is the oldest higher education institution in Poland and one of the oldest in Europe. Building on its long-standing reputation, the university continues to achieve exceptional results today. Its students and academic staff cooperate with institutions worldwide while welcoming hundreds of international students each year.
The Jagellonian University Medical College Language Centre, established in 1950, is an inter-departmental unit of the Jagiellonian University. It offers courses of English, German, French, and Spanish for students and academic staff of the Faculty of Medicine, the Faculty of Pharmacy and the Faculty of Health Sciences.
The Old Town (Stare Miasto), encircled by the green belt of the Planty Park, is framed by St. Florian’s Gate to the north and the Wawel Castle (Zamek Królewski na Wawelu) with the Wawel Cathedral (Katedra Wawelska) atop Wawel Hill to the south.
Between these two iconic landmarks stretches the Main Market Square (Rynek Główny), home to St. Mary’s Basilica (Bazylika Mariacka), the Rynek Underground Museum (Rynek Podziemny), and the historic buildings of the Jagiellonian University.
The Main Market Square is within a pleasant walking distance of approximately 30 minutes from the Central Railway Station. For more information on things to do, hotels and restaurants: https://visitkrakow.com/sightseeing-in-krakow/
From Kraków Airport to the city centre
https://visitkrakow.com/getting-from-krakow-airport-to-krakow-city-centre/
Kraków Central Train Station
https://visitkrakow.com/train-station/
Public Transport in Kraków
https://visitkrakow.com/getting-around-in-krakow/
We´re delighted to announce that the 7th English for Healthcare Conference will be held on SEPTEMBER 11th and 12th in the glorious medieval city of Kraków, Poland. This year we will be partnering with Jagellonian University Medical College in Kraków, Poland, and its Language Centre to create a joint event under the title: “English for Healthcare: From expertise to practice”.
The call for proposals is OPEN now. We are looking for proposals on the following themes:
The 6th English for Healthcare Conference in Brighton (UK) was a real success. It was the most multinational and multicultural EALTHY conference yet! The delegates came from 23 countries, including Austria, Bahrain, Cuba, the Czech Republic, France, Germany, Hungary, Ireland, India, Japan Kuwait, The Netherlands, New Zealand, Poland, Portugal, Romania, Serbia, Slovakia, Spain, Switzerland, Turkey, the United Kingdom, and the United States.
The three eminent keynote speakers John Skelton, Emma Brooks and Zsofia Demjen delivered thought-provoking talks, which covered a variety of issues, from teaching medical humanities, through multilingualism in healthcare, to vaccination-related language.
During the conference, participants discussed the issues surrounding:
We´re delighted to share outcomes of the AVTIA project of our members and the 5th English for Healthcare conference (2022) co-organizers from the University of Belgrade in Serbia. The project was focused on development of a teacher and student guides for audiovisual translation. Irena Aleksić-Hajduković and Danka Sinadinović will present them in the upcoming webinar on January 29th.
The webinar will explore the significance of audiovisual translation (AVT) and subtitling for the deaf and hard-of-hearing (SDH) from the perspective of lecturers already engaged in, or planning to teach, this specialized field. Participants will work with selected materials, examine real-life examples, discuss when to introduce specific audiovisual elements, explore challenges faced by the hearing-impaired community, and reflect on issues such as caption types, sound effects, and optimal reading speed, thus gaining practical insights directly applicable to their teaching and translation practice. Click the button to learn more and register for free.
Partner institutions
Audiovisual Translation for Inclusion and Accessibility (AVTIA) is an Erasmus+ project co-funded by the European Union (Project Number: 2024-1-RO01-KA220-HED-000249675) that gathers partners from the following six institutions:
Focus
The project addresses subtitling for the deaf and hard of hearing (SDH), and audio description (AD) for the blind and visually impaired, while offering hands-on study materials. It is aimed at university lecturers and instructors in the field of philology, undergraduate and postgraduate students of (audiovisual) translation, early-career translators wishing to specialize in audiovisual translation with a focus on accessibility and inclusion, as well as policy makers in higher education.
Outcomes
The key outcomes of the project will include:
READ MORE: https://avtia.ro/index.php
In our webinar series, we covered a wide range of timely and practical topics, including teaching writing for OET purposes through recording and reflecting on the writing process.
We also explored the development of effective communication skills for real-world professional contexts, with sessions dedicated to communicating with challenging patients and pharmacy customers.
Another highlight were the career-focused webinars, which showcased inspiring transitions—from language teachers becoming medical interpreters, and from pharmacists evolving into communication skills trainers and medical writers and digital content creators—demonstrating the flexibility and impact of these professions.
This B1-B2 worksheet includes vocabulary activities based on the article and Quizlet cards. The activities will help students to understand the condition and related medical terms.
This A2-B1 worksheet includes vocabulary activities based on video and Quizlet cards. The activities will help students to understand the condition and related medical terms.
Spend a day with us in thought-provoking discussions on AI usage in teaching and learning of English for healthcare. Join us on 26th April, between 8:00 – 16:30 (UK time), for the virtual symposium, where we´ll dedicate an entire day to discussions on the current and future role of AI in clinical communication and medical education from multiple perspectives.
The speakers will provide you with fascinating insights into this technology. They will present a theoretical background and a review of the latest research as well as share their experience and tips on using AI in teaching and materials design. The topics include:
We’ll end the event with a panel session, where the speakers will discuss their perspectives on the future role of AI in language and medical education and related fields.
To learn more about the speakers and their presentations, click the title.
The event is free of charge for EALTHY members. The non-member fee is £30. Save your place today!
Chris Jacobs, Zephy Da Custodia Steel, Theo Clay
This plenary session explores the novel role of Artificial Intelligence (AI) in improving communication skills among healthcare professionals. Emphasising the critical importance of empathy in patient interactions, the session highlights how AI patient simulations can provide realistic practice scenarios.
Virginia Allum, Neil Harris, Chris Jacobs, Petra Zrníková
Moderator: Chris Moore
Alexandra Csongor, Aniko Berta, Csilla Egyed, Renata Nagy
The presentation aims to provide educators with practical strategies for effectively teaching history-taking in English to non-native medical students, integrating AI tools and simulated patient encounters to enhance learning outcomes and prepare students for real-world clinical practice.
Marwa Alnajjar, Shooq Altamimi, Paula Canales
This presentation focuses on a five-phase project that utilised Generative AI (GenAI) to create tailored ESP listening materials. Addressing the limitations of current resources, three lecturers leveraged ChatGPT and text-to-audio generators to create listening scripts, questions, and audio for an English for Nursing module.
Virginia Allum
Initially, Virginia viewed AI as a time saver, allowing her to make videos quicker than ever before. But soon she learned that AI was not an ‘out of the box’ tool. In this talk, Virginia will show you an example of an AI-generated video and compare it with the video she wanted to make.
Ioana Cretu, Neil Harris
By giving examples from their practice with OET candidates, Ioana and Neil aim to encourage both teachers and learners to benefit from using AI tools rather than condemning and avoiding it when enhancing writing competence.
Veronika Glogarová
The research explores the perspectives of PhD medical students on using AI tools in their academic work. During her talk Veronika will discuss the issues around ensuring academic integrity, (non)understanding the overall context and insufficient training provided to educators and students.
Petra Zrníková
This literature review discusses the current and future role of AI in clinical medicine, mainly in early diagnosis, data analysis, and personalised treatment, and points out the most common ethical and legal issues.
Irena Aleksić-Hajduković, Ana Mužar
This research-based session will offer practical suggestions for incorporating GenAI and DDL for designing activities and lesson plans aimed at enhancing teaching of medical and academic collocations.
Beata Walesiak
The talk will explore the current role of apps and AI-based tools in enhancing learners’ communication skills and examine how some tools can support educators in creating targeted classroom materials as well as encouraging self-directed learning. Finally, it will round off by suggesting future directions for integrating AI tools into healthcare-related English language training.
Spend a day with us in thought-provoking discussions on AI usage in teaching and learning of English for healthcare. Join us on 26th April, between 8:00 – 16:15 (UK time), for the virtual symposium, where we´ll dedicate an entire day to discussions on the current and future role of AI in clinical communication and medical education from multiple perspectives.
The speakers will provide you with fascinating insights into this technology. They will present a theoretical background and a review of the latest research as well as share their experience and tips on using AI in teaching and materials design. The topics include:
We’ll end the event with a panel session, where the speakers will discuss their perspectives on the future role of AI in language and medical education and related fields.
To learn more about the speakers and their presentations, click the title.
The event is free of charge for EALTHY members. The non-member fee is £30. Save your place today!
Chris Jacobs, Zephy Da Custodia Steel, Theo Clay
This plenary session explores the novel role of Artificial Intelligence (AI) in improving communication skills among healthcare professionals. Emphasising the critical importance of empathy in patient interactions, the session highlights how AI patient simulations can provide realistic practice scenarios.
Virginia Allum, Neil Harris, Chris Jacobs, Beata Walesiak, Petra Zrníková
Moderator: Chris Moore
Alexandra Csongor, Aniko Berta, Csilla Egyed, Renata Nagy
The presentation aims to provide educators with practical strategies for effectively teaching history-taking in English to non-native medical students, integrating AI tools and simulated patient encounters to enhance learning outcomes and prepare students for real-world clinical practice.
Marwa Alnajjar, Shooq Altamimi, Paula Canales
This presentation focuses on a five-phase project that utilised Generative AI (GenAI) to create tailored ESP listening materials. Addressing the limitations of current resources, three lecturers leveraged ChatGPT and text-to-audio generators to create listening scripts, questions, and audio for an English for Nursing module.
Virginia Allum
Initially, Virginia viewed AI as a time saver, allowing her to make videos quicker than ever before. But soon she learned that AI was not an ‘out of the box’ tool. In this talk, Virginia will show you an example of an AI-generated video and compare it with the video she wanted to make.
Ioana Cretu, Neil Harris
By giving examples from their practice with OET candidates, Ioana and Neil aim to encourage both teachers and learners to benefit from using AI tools rather than condemning and avoiding it when enhancing writing competence.
Veronika Glogarová
The research explores the perspectives of PhD medical students on using AI tools in their academic work. During her talk Veronika will discuss the issues around ensuring academic integrity, (non)understanding the overall context and insufficient training provided to educators and students.
Petra Zrníková
This literature review discusses the current and future role of AI in clinical medicine, mainly in early diagnosis, data analysis, and personalised treatment, and points out the most common ethical and legal issues.
Irena Aleksić-Hajduković, Ana Mužar
This research-based session will offer practical suggestions for incorporating GenAI and DDL for designing activities and lesson plans aimed at enhancing teaching of medical and academic collocations.
Beata Walesiak
The talk will explore the current role of apps and AI-based tools in enhancing learners’ communication skills and examine how some tools can support educators in creating targeted classroom materials as well as encouraging self-directed learning. Finally, it will round off by suggesting future directions for integrating AI tools into healthcare-related English language training.
AI has been heralded by many as a new dawn in materials creation. During the last year, I started exploring how much AI can help me to generate learning resources, specifically dialogues of role plays set in the healthcare environment. Videos I’ve developed in the past have been included in online courses with learning activities to be done before and afterwards. Other videos have been ‘stand-alone’ videos uploaded to my YouTube channel.
Initially, I viewed AI as a time saver, allowing me to make videos quicker than ever before, but I soon learned that AI was not an ‘out of the box’ tool. The language suggested was US-centric and not appropriate. The phrases suggested weren’t my Voice, either. They didn’t showcase particular communication skills I wanted to focus on either.
In this talk, I will show you an example of an AI-generated video and compare it with the video I wanted to make with the caveat that I am a beginner user of AI and AI still has a way to go to serve all our needs.
Virginia Allum is an experienced medical English writer, Head of Medical English at SLC, Head of Materials Development at EALTHY, owner of a YouTube channel (Medical English Videos) and item writer for OET. Her work includes the development of worksheets, activities and medical English videos.
Join us for this one-day event dedicated to discussions on the role of AI in healthcare communication and education.
Clear communication is vital in healthcare as effective pronunciation and intonation not only ensure intelligibility but also help build trust and rapport with patients.
The Communicative Framework for Teaching Pronunciation (Celce-Murcia et al., 2010) has been applied in an English language classroom setting to balance explicit form-focused training with opportunities to practice language in authentic contexts, as it aims to ensure that learners develop both accurate speech and effective communicative competence. In this context, some apps and AI tools are emerging as effective means to extend these pedagogical strategies. But do they really offer real-time, personalized feedback and adaptive practice opportunities?
The talk will explore the current role of apps and AI-based tools in enhancing learners’ communication skills and examine how some tools can support educators in creating targeted classroom materials as well as encouraging self-directed learning. Finally, it will round off by suggesting future directions for integrating AI tools into healthcare-related English language training.
Beata has cooperated with schools, academic institutions, start-ups and corporations within the domain of educational technologies, (mobile-assisted) pronunciation training and AI-based speech pedagogy and assessment. She is currently lecturer at Open University, University of Warsaw (UOUW), Product Launch Lead at Lingcosms and Teacher, Teacher Trainer and Researcher Linguist via unpolish.pl. Connecting from Poland, she’s also a long-standing IATEFL PronSIG Committee member.
Join us for this one-day event dedicated to discussions on the role of AI in healthcare communication and education.
Effective medical interview is a cornerstone of healthcare practice. We offer four courses to improve Hungarian medical students’ English history-taking skills in internal medicine and other specialities.
The presentation aims to provide educators with practical strategies for effectively teaching history-taking in English to non-native medical students, integrating AI tools and simulated patient encounters to enhance learning outcomes and prepare students for real-world clinical practice.
The AI-powered tools, including Twee, Diffit, Quizziz, Padlet, and ChatGPT, used in our classrooms provide educators with personalized and innovative teaching materials. The content of history-taking dialogues between medical doctors, dentists, pharmacists, and patients is customized to students’ contextual needs. Integrating these AI-powered methodologies can help prepare students for successful patient interactions in English-speaking healthcare settings. Furthermore, utilizing these cutting-edge technologies can enhance both teaching and learning experiences.
Alexandra, PhD, Habil, is Assistant Professor. Her interests relate to studying English for medical and medical research objectives. She is researching 21st-century challenges in higher education, the use of the internet and telemedicine in doctor-patient communication. She is a trainer at the Simulated Patient programme at the Medical School.
Aniko is PhD student, Assistant Professor. She teaches languages for biomedical purposes and medical communication. She is a third-year PhD student researching L3 motivation, multilingual awareness, and motivation to learn LOTE. She is a trainer at the Simulated Patient programme at the Medical School.
Csilla is a PhD student, Assistant Professor. She teaches languages for biomedical purposes and medical communication, English terminology and communication for dentistry students at the Medical School. Her research interests are Applied Linguistics, Psycholinguistics, Discourse Analysis, Telemedicine and Teledentistry.
Renata is PhD student, Assistant Professor. She teaches Languages for Biomedical Purposes, Anatomical and Medical Terminology and Communication for Medical, Dentistry and Biotechnology students. Her research interests are Teledentistry, Telemedicine, Online testing, Communication and Simulated Patients in the field of Medicine.
Join us for this one-day event dedicated to discussions on the role of AI in healthcare communication and education.
If Wet, Wet Wet were writing music today, perhaps it would be AI rather than love that is all around. With AI exerting such a profound and pervasive impact on healthcare and related language education, how best can we leverage AI for international healthcare professionals seeking OET certification? Increased access to shortcuts within exam preparation and performance is, like it or not, a feature of our AI-enhanced reality.
We share our curiosity about the (mis)uses of AI tools for OET and our intentionality about how certain AI tools can enable learners to develop their actual medical writing for OET success and, importantly, beyond. It is our starting point that each learner-writer does and should be actively encouraged to incorporate their unique writing styles, preferences, blind spots and quirks into the process of writing, and that we as teachers should work with them rather than against them.
After introducing an innovative (and paradoxically AI-free approach) to seeing our learners’ often-invisible processes of writing, we will then explore how AI tools can be harnessed by medical English teachers to produce and scale interventions for differentiated and personalised learning.
Ioana is a freelance professional in the field of English for Healthcare and OET teacher at Cretu R. Ioana PFA. She has been over 22 years in ESP and Medical English, including a related PhD, and OET preparation specifically since 2018.
Neil is a Director of Academic Development & Teacher Trainer at Centre for English Language Teaching (CELT), Cardiff, UK. He has been involved in ESP course development and delivery for nearly 30 years and in Medical English since 2017 and is an OET Premium Provider.
Join us for this one-day event dedicated to discussions on the role of AI in healthcare communication and education.
Data-driven learning (DDL) refers to using “language corpus data, tools, and techniques for pedagogical purposes” (Crosthwaite & Boulton, in press). However, with recent developments in the field of generative artificial intelligence (GenAI), there has been a need to merge the two approaches in order bridge the existing gaps and transcend the limitations of DDL (Crosthwaite & Baisa, 2023; Mizumoto, 2023).
The insights gained from disciplinary corpora help us upgrade course materials, create “exemplar texts containing a high degree of ‘focus-on-form’…[and] meaningfully contextualise the language forms and meanings under investigation within the dentistry domain” (Crosthwaite & Cheung, 2019).
Relying on our own findings from dental research abstracts, we aim to showcase how teachers of English for Healthcare can benefit from merging GenAI and DDL in order to improve their students’ (prospective healthcare practitioners, PhD students, OET candidates, medical researchers) collocational competence.
This research-based session will offer practical suggestions for incorporating GenAI and DDL for designing activities and lesson plans aimed at enhancing teaching of medical and academic collocations.
Irena is an Assistant Professor at the School of Dental Medicine, University of Belgrade, teaching English for Medicine and Dentistry. Her fields of interest also include Multimodal Discourse Analysis (MDA), Multimodal Pedagogy, and use of software for linguistic research. She is an active member of the European Commission’s Digital Education Hub.
Ana holds a BA and an MA degree in English language, literature, and culture. Presently, she is pursuing her PhD while being employed at the School of Dental Medicine, University of Belgrade, as a Teaching Associate interested in applying the discourse of healthcare communication in her teaching.
Join us for this one-day event dedicated to discussions on the role of AI in healthcare communication and education.
This presentation focuses on a five-phase project that utilised Generative AI (GenAI) to create tailored ESP listening materials. Addressing the limitations of current resources, three lecturers leveraged ChatGPT and text-to-audio generators to create listening scripts, questions, and audio for an English for Nursing module.
Attendees will gain insights into the iterative process of script and question generation, the evaluation of text-to-audio generators, as well as how to produce contextually relevant resources. Furthermore, the presentation will provide valuable insights into the methodology employed, expected outcomes, and implications for future research and educational practices.
By shedding light on the project’s development process, challenges, solutions, and limitations, attendees will gain insights into the application of GenAI in their material development.
Marwa is a Lecturer in English and Acting Academic Team Lead for English for Nursing at RCSI Bahrain. She has 13 years of teaching experience and an MA in ELT from Coventry University, UK. Her interests include teacher training, materials design, and integrating AI in language teaching and learning.
Shooq is a Lecturer in English for Nursing at RCSI Bahrain. She has 12 years of teaching experience and an MA in ELT from Coventry University, UK. Her subject specialisms include threshold concepts, Generative AI, and reflective practices.
Paula is a Fulbright English Teaching Assistant at RCSI Bahrain. She received her MA in TESL from the University of Texas at San Antonio. She has eight years of experience in the healthcare field as a mental health technician. Currently, she focuses on providing language support to nursing students.
Join us for this one-day event dedicated to discussions on the role of AI in healthcare communication and education.
The integration of Artificial Intelligence (AI) in teaching foreign languages within healthcare higher education is gradually changing established pedagogical practices. While we may benefit from personalized learning experiences or broader access to multiple sources, significant doubts persist, such as ensuring academic integrity, (non)understanding of the overall context and insufficient training for educators and students.
This study examines institutional approaches in Czech universities, showing struggles with AI implementation due to inflexibility in adapting to dynamically evolving technological advancements and the absence of clear legal frameworks for AI use.
Moreover, the study explores the perspectives of PhD medical students on using AI tools, such as machine translation software and writing assistance platforms, in their academic work.
Using a mixed-methods approach, combining quantitative surveys and qualitative interviews, the findings reveal scepticism among students. Their concerns include potential collision with academic integrity and hesitancy to share sensitive data with AI. These findings highlight the urgent need for Czech universities to develop comprehensive policies and provide structured support for ethical and effective integration of AI into HE education.
Veronika is the head of the Department of Foreign Languages, Faculty of Medicine and Dentistry, Palacky University in Olomouc. She teaches undergraduate students (English for healthcare), PhD students (courses on Academic writing) and employees of the Faculty. She is particularly interested in the cultural phenomena of academic writing, contrastive rhetoric and AI implementation in teaching languages for healthcare professionals.
Veronika will greatly appreciate your insights and contributions to her research. Please take a moment and complete the questionnaire on AI in language teaching at medical schools here. Your thoughts and ideas are crucial for understanding how AI impacts (and might impact in the future) language learning for future healthcare professionals. Thank you!
Join us for this one-day event dedicated to discussions on the role of AI in healthcare communication and education.
This plenary session explores the novel role of Artificial Intelligence (AI) in improving communication skills among healthcare professionals. Emphasising the critical importance of empathy in patient interactions, the session highlights how AI patient simulations can provide realistic practice scenarios. These high-fidelity simulations, featuring lifelike voices, enable healthcare workers to engage in authentic conversations, thereby enhancing their ability to convey empathy and understanding.
Feedback is a cornerstone of training, and AI can offer specific, actionable insights that foster your continuous improvement. This feedback helps healthcare professionals refine their communication techniques, ensuring they are well-prepared for diverse patient interactions.
The session also underscores the significance of psychological safety in training environments. AI simulations create a safe space for healthcare workers to practice and make mistakes without fear of judgment, promoting open learning and confidence-building.
Overall, the integration of AI in communication training programs develops healthcare professionals with enhanced communication skills, characterised by empathy and appropriate content.
Full text: Clay, T. J., Da Custodia Steel, Z. J., Jacobs, C. (November 15, 2024). Human-Computer Interaction: A Literature Review of Artificial Intelligence and Communication in Healthcare. Cureus 16(11): e73763.
Research summary in our Blog section: Using AI Models to Assess Communication in Healthcare
Dr Chris Jacobs, MB BChir MRes MD (res) MRCGP FHEA, has over 20 years’ experience in healthcare education and has interests in communication and appraising educational technology. He is GP, GP trainer, medical student tutor for Universities of Bristol, Oxford, and Kings College London. Also, a researcher in cognitive psychology in communication training at University of Bath.
Zephy is a second-year medical student at Bristol University with interests in AI, clinical innovation, and patient-centred care. His commitment to this field is evident through his published review, which critically examines the potential of AI to improve communication skills among healthcare professionals.
Theo is also a second-year medical student at Bristol University. He also has a keen interest in intersection of AI and communication. As a co-author to the published review, he can see the importance of empathy in how we communicate and how practice is key to success.
Join us for this one-day event dedicated to discussions on the role of AI in healthcare communication and education.
Clay, T. J., Da Custodia Steel, Z. J., Jacobs, C. (November 15, 2024). Human-Computer Interaction: A Literature Review of Artificial Intelligence and Communication in Healthcare. Cureus 16(11): e73763. doi: 10.7759/cureus.73763
The literature review provides an overview of AI´s role in patient-doctor interactions, focusing on overcoming language barriers, summarising complex medical data, and offering empathetic responses. It disproves assumptions of AI as an inaccurate, irrelevant, misleading and unempathetic source of medical information for both healthcare professionals and lay-people.
The review discusses the potential of AI models as tools capable of rapidly summarizing vast amounts of data, providing patients with information on their medical conditions and supportive feedback, and helping healthcare professionals to enhance their clinical communication skills.
The review advocates for further research and policy development to mitigate risks and enhance AI´s integration into clinical practice.
*Incorrect or misleading results generated by AI models casued by insufficient data training, incorrect assumptions made by the model, or biases in the data used to train the model.
Full-text available here: https://www.cureus.com/articles/312796-human-computer-interaction-a-literature-review-of-artificial-intelligence-and-communication-in-healthcare#!/
We’re delighted to announce that EALTHY President John Skelton is one of the experts leading group workshops in the hybrid version of our Writing for Publication course, which adds two 1.5-hour sessions onto the digital course that John wrote.
Anyone who has been to an EALTHY English for Healthcare conference knows just how engaging and thoughtful John is. Now you, your researchers and other academics looking to publish in an international peer-reviewed journal can work directly with him.
John really knows what he’s talking about. He has published widely in Clinical Communication, Applied Linguistics and related areas, with research published in The Lancet, BMJ, Applied Linguistics and English Language Teaching Journal, amongst many others. He has taught courses on Writing for Publication to students in many parts of the world.
Writing for Publication consists of 30 hours of digital study that take researchers through the publishing process in clearly defined steps, covering the language, conventions and process – from planning through to submission, with multiple examples and practical writing tasks.
The workshops build on the course. Participants go through it beforehand and then get input and feedback on the areas they most need. The workshops are for small groups. They are collaborative, practical and focused. At the end, participating researchers will be clear on the next steps they need to take to successfully submit their articles for publication.
Workshops take place on Zoom, though in-person may potentially be arranged. They are delivered either as two 1.5-hour workshops, or as one 3-hour workshop with a break in the middle.
These are designed as group sessions for between 8 and 12 participants. However, bespoke programmes can be designed for different size groups or individuals, or to meet specific needs.
Prices are only from £149 per person for EALTHY members and associated institutions, to include the digital course and any materials.
Just get in touch with us on admin@ealthy.com. We’ll arrange a meeting to go through what you’re looking for and how everything works.
Please note that John’s time is limited, so if you would like to work with him, please let us know as soon as you can.
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