Assessing the performances of a chatbot to collect real-life data of patients suffering from primary headache disorders.
Benjamin ChaixJean-Emmanuel BibaultRolland RomainArthur GuillemasséMikaël NeeralGuillaume DelamonJulien MoussalliBenoît BrouardPublished in: Digital health (2022)
The study confirmed that it was possible to obtain such a collection remotely, and quickly (average time of 3.24 min) with a high success rate (89.67% (547/610) participants who had fully completed the IHS questionnaire). Users were strongly engaged through chatbot: out of the total number of participants, we observed a very low number of uncompleted questionnaires (6.23% (38/610)). Conversational agents can be used to remotely collect data on the nature of the symptoms of patients suffering from primary headache disorders. These results are promising regarding patient engagement and trust in the chatbot.