PWE-409 Colorectal cancer care apps for patient and staff education – bringing medical education into the 21st century
Notice bibliographique
Résumé
<h3>Introduction</h3> Advancing technology has led to the opening of new channels for communication and access to information. Accordingly healthcare must keep pace with our increasing desire for choice in how we receive, interact and learn if we are to continue to strive for higher standards of care. In 2008, our group launched the first interactive DVD for patients with colorectal cancer, which described the diagnosis, treatment and follow-up of patients at our unit. This project won several awards within the UK for innovation and has led to the creation of a series of four titles which have played an important role in patient counselling/staff education within our centre. Following the feedback from this series, we were inspired to find avenues to widen the availability of these resources worldwide. This has led to the series being digitally enhanced and adapted as four interactive iOS apps currently available for worldwide download on tablet platform. <h3>Method</h3> The online applications designed as part of this initiative are: - 1. Patient Journey – the diagnosis, treatment and follow-up when diagnosed with a bowel tumour’: An educational app designed to inform, demystify and prepare patients and carers with bowel cancer for the journey ahead. 2. ‘Enhanced Recovery after Surgery (ERAS) for major bowel surgery’: An app designed to explain the concepts and benefits of ERAS to patients prior to major bowel surgery. 3. ‘Colorectal’: An educational app designed to give exposure to students/junior trainees regarding the anatomical/surgical principles of common colorectal procedures. 4. ‘Stepwise Approach for Laparoscopic Colorectal Surgery’: An interactive app to assist colorectal consultants/trainee surgeons who wish to gain proficiency in laparoscopic colorectal surgery <h3>Results</h3> Since our product launch in July 2014, there have been more than 5000 downloads worldwide. Downloads were noted across all world regions with 58% in the Asia-Pacific region, 26% in Europe and 12% in the USA and Canada. These applications are unique in that they contain extensive footage of real-life events coupled with surgical technique. This level of realism in the digital medium means the viewer can have many questions answered before their next consultation, resulting in a better informed patient ready for surgery. <h3>Conclusion</h3> These applications exemplify how utilising technology can advance practice and improve patient experience by providing an interactive format where patients can explore and understand their condition. Our vision is that this model can be used/adapted for widespread use to supplement current methods of patient/staff education, bringing the way we communicate, counsel and train into the 21<sup>st</sup>century. <h3>Disclosure of interest</h3> None Declared.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».