Estudo piloto de validação de um chatbot de rastreamento, implementado para direcionar a teleassistência em COVID-19

Cateb, Gabriel F.; Amaral, Samuel; Gonçalves, Samuel Cristóvão Lopes; Oliveira, Isaias José Ramos De; Prates, Raquel Oliveira; Chagas, Bruno A.; Marcolino, Milena Soriano; Reis, Zilma Silveira Nogueira

doi:10.5753/sbcas.2021.16108

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…Cateb and colleagues reported a pilot study of the validation of a chatbot in teleassistance of COVID-19, in which the symptoms of the patients were evaluated before the teleconsulting and compared to the respective medical report. Dyspnea was the most frequent symptom and the reliability of the response for the chatbot as well as for the medic was significant and moderate, with a Kappa equal to 0.605 (16). This result corroborates the high linear correlation (0.94) found here between the patient's vNRS collected by the therapist and the chatbot's service, indicating that the chatbot can be an adequate tool to monitor the pain of the patients during the treatment of low back pain.…”

Section: Resultsmentioning

confidence: 97%

Validation of a chatbot as a tool for monitoring of chronic pain

Paes¹,

Magalhães²,

Pinto³

et al. 2023

J Health Inform

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In this work we studied the use of a chatbot as a monitoring tool for chronic pain. An anamnesis was performed on 28 patients, and afterward, the pain intensity response of each patient was collected by the therapist and the chatbot. It was obtained a strong correlation of 0.94 between the pain intensity collected by the therapist and the chatbot. We noted that 50% of the answers to the chatbot were recorded about 30 minutes after the message was sent. Patients in the age range of 30-60 years responded quicker than others. With respect to gender, male patients answered quicker the chatbot on average. As far as the answers were recorded over the days by the chatbot, the answers recorded diminished approximately linearly. We validated the chatbot as an efficient monitoring of the pain's intensity, being an easy interactive tool showing good adhesion by the patients

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Section: Resultsmentioning

confidence: 97%

Validation of a chatbot as a tool for monitoring of chronic pain

Paes¹,

Magalhães²,

Pinto³

et al. 2023

J Health Inform

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“…The frontend has 2 main interfaces: 1 for teleconsultation, which is used by the health care professionals, and another for monitoring the service queue, which is a dashboard used by the team of moderators, who identify the need for additional health care professionals in the shift to reduce the response time. A chatbot, developed using the BLiP platform (Take), was aimed to be a first point of contact for patients with the telehealth service [10,11]. It assisted in screening the severity of respiratory and flu-like symptoms and queuing patients for teleconsultation based on warning-sign severity [10,11].…”

Section: System Development and Validationmentioning

confidence: 99%

“…A chatbot, developed using the BLiP platform (Take), was aimed to be a first point of contact for patients with the telehealth service [10,11]. It assisted in screening the severity of respiratory and flu-like symptoms and queuing patients for teleconsultation based on warning-sign severity [10,11]. There is a module for importing data from the chatbot into the database and a module for sending messages to patients (Figure 2).…”

Section: System Development and Validationmentioning

confidence: 99%

Synchronous Teleconsultation and Monitoring Service Targeting COVID-19: Leveraging Insights for Postpandemic Health Care

Marcolino¹,

Diniz²,

Chagas³

et al. 2022

JMIR Med Inform

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Background Although a great number of teleconsultation services have been developed during the COVID-19 pandemic, studies assessing usability and health care provider satisfaction are still incipient. Objective This study aimed to describe the development, implementation, and expansion of a synchronous teleconsultation service targeting patients with symptoms of COVID-19 in Brazil, as well as to assess its usability and health care professionals’ satisfaction. Methods This mixed methods study was developed in 5 phases: (1) the identification of components, technical and functional requirements, and system architecture; (2) system and user interface development and validation; (3) pilot-testing in the city of Divinópolis; (4) expansion in the cities of Divinópolis, Teófilo Otoni, and Belo Horizonte for Universidade Federal de Minas Gerais faculty and students; and (5) usability and satisfaction assessment, using Likert-scale and open-ended questions. Results During pilot development, problems contacting users were solved by introducing standardized SMS text messages, which were sent to users to obtain their feedback and keep track of them. Until April 2022, the expanded system served 31,966 patients in 146,158 teleconsultations. Teleconsultations were initiated through chatbot in 27.7% (40,486/146,158) of cases. Teleconsultation efficiency per city was 93.7% (13,317/14,212) in Teófilo Otoni, 92.4% (11,747/12,713) in Divinópolis, and 98.8% (4981/5041) in Belo Horizonte (university campus), thus avoiding in-person assistance for a great majority of patients. In total, 50 (83%) out of 60 health care professionals assessed the system’s usability as satisfactory, despite a few system instability problems. Conclusions The system provided updated information about COVID-19 and enabled remote care for thousands of patients, which evidenced the critical role of telemedicine in expanding emergency services capacity during the pandemic. The dynamic nature of the current pandemic required fast planning, implementation, development, and updates in the system. Usability and satisfaction assessment was key to identifying areas for improvement. The experience reported here is expected to inform telemedicine strategies to be implemented in a postpandemic scenario.

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Synchronous teleconsultation and monitoring service targeting COVID-19: leveraging insights for post-pandemic healthcare (Preprint)

Marcolino¹,

Diniz²,

Chagas³

et al. 2022

Preprint

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BACKGROUND Although a great number of teleconsultation services have been developed during COVID-19 pandemic, studies assessing usability and healthcare provider satisfaction are still incipient. OBJECTIVE To describe the development, implementation and expansion of a synchronous teleconsultation service targeting patients with symptoms of COVID-19 in Brazil, as well as to assess its usability and healthcare professionals’ satisfaction. METHODS This mixed-methods study was developed in five phases: (i) identification of components, technical and functional requirements and system architecture; (ii) system and user interface development and validation; (iii) pilot testing in the city of Divinópolis; (iv) expansion in the cities of Divinópolis, Teófilo Otoni and Belo Horizonte for Universidade Federal de Minas Gerais faculty and students; (v) usability and satisfaction assessment, using Likert scale and open-ended questions. RESULTS During pilot development, problems to contact users were solved by introducing standardized text messages (SMS) sent to them to obtain their feedback and keep track of them. Until July 31, 2021, the expanded system achieved 11,580 patients in 102,687 teleconsultations. Teleconsultations were initiated through chatbot in 15.8% of teleconsultations. Teleconsultation efficiency per city was 93.8% in Teófilo Otoni, 92.1% in Divinopolis, and 98.2% in Belo Horizonte (university campus), avoiding in-person assistance for the great majority of patients. 60 healthcare professionals assessed the system's usability as satisfactory, despite a few system instability problems. CONCLUSIONS The system provided updated information about COVID-19 and enabled remote care for thousands of patients, which evidenced the critical role of telemedicine in expanding emergency services capacity during the pandemic. The dynamic nature of the current pandemic required fast planning, implementation, development and updates in the system. Usability and satisfaction assessment was key to identifying areas for improvement. The experience reported here is expected to inform telemedicine strategies to be implemented in a post-pandemic scenario.

show abstract

Estudo piloto de validação de um chatbot de rastreamento, implementado para direcionar a teleassistência em COVID-19

Cited by 3 publications

References 2 publications

Validation of a chatbot as a tool for monitoring of chronic pain

Validation of a chatbot as a tool for monitoring of chronic pain

Synchronous Teleconsultation and Monitoring Service Targeting COVID-19: Leveraging Insights for Postpandemic Health Care

Synchronous teleconsultation and monitoring service targeting COVID-19: leveraging insights for post-pandemic healthcare (Preprint)

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