Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot.

To assist personalized healthcare of elderly people, our interest is to develop a virtual caregiver system that retrieves the expression of mental and physical health states through human-computer interaction in the form of dialogue. The purpose of this paper is to implement and evaluate a virtual caregiver system using mobile chatbot. Unlike the conventional health monitoring approach, our key idea is to integrate a rule-based virtual caregiver system (called "Mind Monitoring" service) with the physical, mental, and social questionnaires into the mobile chat application. The elderly person receives one question from the mobile chatbot per day, and answers it by pushing the optional button or using a speech recognition technique. Furthermore, a novel method is implemented to quantify the answers, generate visual graphs, and send the corresponding summaries or advice to the specific elder. In the experimental evaluation, we applied it to eight elderly subjects and 19 younger subjects within 14 months. As main results, its effects were significantly improved by the proposed method, including the above 80% in the response rate, the accurate reflection of their real lives from the responses, and high usefulness of the feedback messages with software quality requirements and evaluation. We also conducted interviews with subjects for health analysis and improvement.

Utilidad y aceptación del seguimiento telefónico de un asistente virtual a pacientes COVID-19 tras el alta / Usefulness and acceptance of telephone monitoring by a virtual assistant for patients with COVID-19 following discharge

La COVID-19 ha supuesto una gran sobrecarga para el sistema sanitario, y ha sido necesario poner en marcha herramientas nuevas para realizar el seguimiento no presencial de los pacientes y garantizar la calidad de sus cuidados. Se evalúa la utilidad y aceptación de los pacientes de un cuidador virtual diseñado para su seguimiento tras el alta hospitalaria por COVID-19. El asistente virtual, con tecnología de voz e inteligencia artificial, realizó llamadas telefónicas a las 48h, 7, 15 y 30 días del alta, formulando 5 preguntas sobre su estado de salud. Si la contestación era afirmativa, generaba una alerta que se transfería a un profesional sanitario. Se incluyeron 100 pacientes en el proyecto. Se generaron 85 alertas en 45 de los pacientes, la mayoría de ellas al mes del alta; el 94% lo resolvió enfermería telefónicamente. La satisfacción de los pacientes con el cuidador virtual fue alta (AU)

COVID-19 has placed a significant burden on the healthcare system, making it necessary to implement new tools that allow patients to be monitored remotely and guarantee quality and continuity of care. The usefulness and acceptance by patients of a virtual caregiver designed for follow-up in the month following hospital discharge for COVID-19 are evaluated. The virtual assistant, based on voice and artificial intelligence technology, made telephone calls at 48hours, seven days, 15 days, and 30 days after discharge and asked five questions about the patient's health. If the answer to any of the questions was affirmative, it generated an alert that was transferred to a healthcare professional One hundred patients were included in the project and 85 alerts were generated in 45 of the patients, most at one month after hospital discharge. The nursing staff resolved 94% of them by telephone. Patient satisfaction with the virtual caregiver was high (AU)

Usefulness and acceptance of telephone monitoring by a virtual assistant for patients with COVID-19 following discharge.

COVID-19 has placed a significant burden on the healthcare system, making it necessary to implement new tools that allow patients to be monitored remotely and guarantee quality and continuity of care. The usefulness and acceptance by patients of a virtual caregiver designed for follow-up in the month following hospital discharge for COVID-19 are evaluated. The virtual assistant, based on voice and artificial intelligence technology, made telephone calls at 48 h, seven days, 15 days, and 30 days after discharge and asked five questions about the patient's health. If the answer to any of the questions was affirmative, it generated an alert that was transferred to a healthcare professional One hundred patients were included in the project and 85 alerts were generated in 45 of the patients, most at one month after hospital discharge. The nursing staff resolved 94% of them by telephone. Patient satisfaction with the virtual caregiver was high.

[Usefulness and acceptance of telephone monitoring by a virtual assistant for patients with COVID-19 following discharge]. / Utilidad y aceptación del seguimiento telefónico de un asistente virtual a pacientes COVID-19 tras el alta.

COVID-19 has placed a significant burden on the healthcare system, making it necessary to implement new tools that allow patients to be monitored remotely and guarantee quality and continuity of care. The usefulness and acceptance by patients of a virtual caregiver designed for follow-up in the month following hospital discharge for COVID-19 are evaluated. The virtual assistant, based on voice and artificial intelligence technology, made telephone calls at 48 hours, seven days, 15 days, and 30 days after discharge and asked five questions about the patient's health. If the answer to any of the questions was affirmative, it generated an alert that was transferred to a healthcare professional One hundred patients were included in the project and 85 alerts were generated in 45 of the patients, most at one month after hospital discharge. The nursing staff resolved 94% of them by telephone. Patient satisfaction with the virtual caregiver was high.