<strong>Background:</strong> Chatbots are easy to use and simulate a human conversation through text or voice via smartphones or computers. In the field of health, chatbots can improve patient information,...<strong>Background:</strong> Chatbots are easy to use and simulate a human conversation through text or voice via smartphones or computers. In the field of health, chatbots can improve patient information, monitoring, or treatment adherence. <strong>Method:</strong> The objective of this article is to describe how a chatbot dedicated to disease monitoring and support of patients can interact with them and how data are exploited to be safe. <strong>Results:</strong> Wefight designed a chatbot named Vik to empower patients with cancers or chronic diseases and their relatives via personalized text messages. Natural Language Processing models were used. We built several Vik for each disease. Each Vik has its contents, its own NLP model and interacts its way with the patient. <strong>Conclusion: </strong>Conversational agents may help patients with minor health concerns without seeing a real physician. If the quality of these softwares is not thoroughly assessed, they could be dangerous. If chatbots are effective and safe, they could be prescribed like a drug to improve patient information, monitoring, or treatment adherence.展开更多
Background Lockdowns were implemented to limit the spread of COVID-19.Peritraumatic distress(PD)and post-traumatic stress disorder have been reported after traumatic events,but the specific effect of the pandemic is n...Background Lockdowns were implemented to limit the spread of COVID-19.Peritraumatic distress(PD)and post-traumatic stress disorder have been reported after traumatic events,but the specific effect of the pandemic is not well known.Aim The aim of this study was to assess PD in France,a country where C0VID-19 had such a dramatic impact that it required a country-wide lockdown.Methods We recruited patients in four groups of chatbot users followed for breast cancer,asthma,depression and migraine.We used the Psychological Distress Inventory(PDI),a validated scale to measure PD during traumatic events,and correlated PD risk with patients*characteristics in order to better identify the ones who were the most at risk.Results The study included 1771 participants.91.25%(n=1616)were female with a mean age of 32.8(13.71)years and 7.96%(n=141)were male with a mean age of 28.0(8.14)years.In total,38.06%(n=674)of the respondents had psychological distress(PDI>14).An analysis of variance showed that unemployment and depression were significantly associated with a higher PDI score.Patients using their smartphones or computers for more than 1 hour a day also had a higher PDI score(p=0.026).Conclusion Prevalence of PD in at-risk patients is high.These patients are also at an increased risk of developing post-traumatic stress disorder.Specific steps should be implemented to monitor and prevent PD through dedicated mental health policies if we want to limit the public health impact of COVID-19 in time.展开更多
文摘<strong>Background:</strong> Chatbots are easy to use and simulate a human conversation through text or voice via smartphones or computers. In the field of health, chatbots can improve patient information, monitoring, or treatment adherence. <strong>Method:</strong> The objective of this article is to describe how a chatbot dedicated to disease monitoring and support of patients can interact with them and how data are exploited to be safe. <strong>Results:</strong> Wefight designed a chatbot named Vik to empower patients with cancers or chronic diseases and their relatives via personalized text messages. Natural Language Processing models were used. We built several Vik for each disease. Each Vik has its contents, its own NLP model and interacts its way with the patient. <strong>Conclusion: </strong>Conversational agents may help patients with minor health concerns without seeing a real physician. If the quality of these softwares is not thoroughly assessed, they could be dangerous. If chatbots are effective and safe, they could be prescribed like a drug to improve patient information, monitoring, or treatment adherence.
文摘Background Lockdowns were implemented to limit the spread of COVID-19.Peritraumatic distress(PD)and post-traumatic stress disorder have been reported after traumatic events,but the specific effect of the pandemic is not well known.Aim The aim of this study was to assess PD in France,a country where C0VID-19 had such a dramatic impact that it required a country-wide lockdown.Methods We recruited patients in four groups of chatbot users followed for breast cancer,asthma,depression and migraine.We used the Psychological Distress Inventory(PDI),a validated scale to measure PD during traumatic events,and correlated PD risk with patients*characteristics in order to better identify the ones who were the most at risk.Results The study included 1771 participants.91.25%(n=1616)were female with a mean age of 32.8(13.71)years and 7.96%(n=141)were male with a mean age of 28.0(8.14)years.In total,38.06%(n=674)of the respondents had psychological distress(PDI>14).An analysis of variance showed that unemployment and depression were significantly associated with a higher PDI score.Patients using their smartphones or computers for more than 1 hour a day also had a higher PDI score(p=0.026).Conclusion Prevalence of PD in at-risk patients is high.These patients are also at an increased risk of developing post-traumatic stress disorder.Specific steps should be implemented to monitor and prevent PD through dedicated mental health policies if we want to limit the public health impact of COVID-19 in time.
