Automated health chats for symptom management of head and neck cancer patients undergoing radiation therapy

Ma, Davis; Orner, David; Ghaly, Maged; Parashar, Bhupesh; Ames, John W.; Chen, William C.; Potters, Louis; Teckie, Sewit

doi:10.1016/j.oraloncology.2021.105551

Cited by 10 publications

(23 citation statements)

References 35 publications

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“…Numerous researchers designed and developed chatbot systems that enable automated information retrieval in various contexts, including health [11], [36] and education [12]- [14]. Our findings indicate that a chatbot system enables student information centers to function effectively during epidemic situations.…”

Section: Resultsmentioning

confidence: 78%

Automated information retrieval and services of graduate school using chatbot system

Rukhiran

Netinant

2022

IJECE

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<span>Automated information retrieval and servicing systems are a priority demand system in today's businesses to ensure instantaneous customer satisfaction. The chatbot system is an incredible technological application that enables communication channels to automatically respond to end-users in real-time and 24 hours a day. By providing effective services for retrieving information and electronic documents continuously and automating the information service system, the coronavirus disease (COVID-19) is challenging to promote graduate school programs, update news, and retrieve student information in this era. This article discusses automated information retrieval and services based on the architecture, components, technology, and experiment of chatbots. The chatbot system's primary functions are to deliver the course and contact information, answer frequency questions, and provide a link menu to apply for our online course platform. We manage the entire functional process of gathering course information and submitting an application for a course online. The final results compare end users' perceptions of chatbot system usage to onsite services to ensure that the chatbot system can be integrated into the university's information system, supporting university-related questions and answers. We may expand our chatbot system's connection to the university's server to provide information services to students in various informative areas for future research.</span>

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Section: Resultsmentioning

confidence: 78%

Automated information retrieval and services of graduate school using chatbot system

Rukhiran

Netinant

2022

IJECE

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“…Furthermore, both Ma et al . 35 and Kilbourn et al . 36 found that engagement declined during the second half of treatment, which the authors attributed to increasing treatment toxicity and fatigue.…”

Section: Resultsmentioning

confidence: 91%

“…Despite these efforts, engagement with the digital health tools was often poor. Ma et al and Kilbourn et al suggested that engagement could decline as symptom burden increased, 35,36 and this issue therefore requires consideration in the development of future interventions.…”

Section: Summary Of the Evidencementioning

confidence: 99%

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Digital health in head and neck cancer: a systematic review

Hulse

Lowit

et al. 2023

J. Laryngol. Otol.

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Objective Digital health tools are increasingly being recognised as effective interventions in monitoring chronic health conditions. This systematic review addressed how digital health is currently utilised in patients with head and neck cancer as an adjunct to care. Method Studies of the development or evaluation of an eHealth, telemedicine or telemonitoring tool were eligible. A narrative synthesis was performed as per Preferred Reporting Items for Systematic Review and Meta-Analyses reporting guidelines. Results Twenty-nine studies of digital health tools in head and neck cancer were identified. Nine were randomised, controlled trials but most had concern of bias. Fourteen (48 per cent) of the interventions used multiple modes of delivery. The primary digital tool functions are symptom tracking and self-care, prehabilitation and rehabilitation, psychological support, and education, including decision aids. Most tools aimed to support patients during active cancer treatment. Conclusion There are a small number of digital health tools for head and neck cancer patients; however, there is a lack of well-designed randomised, controlled trials to demonstrate effectiveness.

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“…36,38,46 Three more chatbots studied cervical cancer, 24,30,31 two on colorectal, 32,45 one on prostate, 25 one on lung, 41 and one on head and neck. 42…”

Section: Introductionmentioning

confidence: 99%

The Use of Chatbots in Oncological Care: A Narrative Review

Wang¹,

Qian²,

Briggs³

et al. 2023

IJGM

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Background: Few reports have investigated chatbots in patient care. We aimed to assess the current applications, limitations, and challenges in the literature on chatbots employed in oncological care. Methods: We queried the PubMed database through April 2022 and included studies that investigated the use of chatbots in different phases of oncological care. The search used five different combinations of the specific terms "chatbot", "cancer", "oncology", and "conversational agent". Inclusion criteria were chatbot use in any aspect of oncological care-prevention, patient education, treatment, and surveillance. Results: The initial search yielded 196 records, 21 of which met inclusion criteria. The identified chatbots mostly focused on breast and ovarian cancer (n=8), with the second most common being cervical cancer (n=3). Good patient satisfaction was reported among 14 of 21 chatbots. The most reported chatbot applications were cancer screening, prevention, risk stratification, treatment, monitoring, and management. Of 12 studies examining efficacy of care via chatbot, 9 demonstrated improvements compared to standard care. Conclusion: Chatbots used for oncological care to date demonstrate high user satisfaction, and many have shown efficacy in improving patient-centered communication, accessibility to cancer-related information, and access to care. Currently, chatbots are primarily limited by the need for extensive user-testing and iterative improvement before widespread implementation.

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Automated health chats for symptom management of head and neck cancer patients undergoing radiation therapy

Cited by 10 publications

References 35 publications

Automated information retrieval and services of graduate school using chatbot system

Automated information retrieval and services of graduate school using chatbot system

Digital health in head and neck cancer: a systematic review

The Use of Chatbots in Oncological Care: A Narrative Review

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