Psychological Artificial Intelligence Service, Tess: Delivering On-demand Support to Patients and Their Caregivers: Technical Report

Abstract

This technical report highlights how one mental health chatbot, or psychological artificial intelligence service named Tess, has been customized to deliver on-demand support for caregiving professionals, patients, and family caregivers at a non-profit organization. This low-cost, user friendly, and highly customizable service allows emotional support to be scaled to thousands of people at a single time. The following report describes the phased approach to implementing Tess in order to reach staff, caregivers, and patients across Canada and the United States.

Ethical Artificial Intelligence for Digital Health Organizations

“…Feasibility studies to evaluate the use of AI both as a stand-alone source of emotional support and as an adjunct to existing programs and treatment solutions. This includes partnerships with the Centre for Aging and Brain Health Innovation (CABHI) and Saint Elizabeth Health Care to display how Tess is being used to support 9,000+ employees and 10,000+ patients with text-based and voice-enabled emotional support [15]. Furthermore, IBH Corp.'s EAP case study revealed that Tess interactions support employees and cut organizational costs with 10,000 messages exchanged pre-launch, which would have cost their staff 20,000 minutes, an equivalent to two months of work by one full-time equivalent when assuming an eight-hour workday, which at $65 per hour would be equivalent to $21,667 [16].…”

“…Examples include Duke University's IRB-approved single-case experimental design pilot study to expand access to perinatal depression treatment in Kenya through Tess, and the Universidad Adventista del Plata's randomized controlled trial that revealed that Tess interactions led to significantly reduced symptoms of depression by 28%, as measured by the Patient Health Questionnaire (PHQ)-9 (p=0.02), and anxiety by 18%, as measured by the General Anxiety Disorder 7-item scale (GAD-7) (p=0.04)[17]. Through a grant awarded by the Baycrest CABHI, 20,000 older adults are being given access and are able to talk to Tess through Facebook Messenger or Google Home[15]. The ongoing generalizability and scalability studies include partnerships with a Nigerian Federal Psychiatric Hospital, a group of universities in Singapore, and Erasmus University in the Netherlands.3.…”

Artificial intelligence, machine learning, and deep learning in women’s health nursing

“…This low-cost, user-friendly, and highly customizable service allows emotional support to be scaled to thousands of people at a single time. " This is an example of integration of a smart chatbot and AI to help caregivers [6].…”

Assistente virtual mobile para o auxílio no tratamento da tuberculose

“…Estudos completos incluídos para a síntese (n:25) Green et al, 2019;Hess, Fricker and Denecke, 2019;Joerin, Rauws and Ackerman, 2019;Kramer et al, 2019;Stephens et al, 2019;Fadhil, Schiavo and Wang, 2019;Goldenthal et al, 2019), e em países emergentes (Abashev et al, 2017;Chung and Park, 2018;Hernandez, 2019;Park et al, 2019a), tendo destaque (em quantidade)…”

“…), Estados Unidos (5 publicações), Suíça(4 publicações) e Itália (3 publicações).As pesquisas analisadas abordaram como área de intervenção do chatbot em sua grande maioria a da saúde mental((D'Alfonso et al, 2017;Ly, Ly and Andersson, 2017;Fulmer et al, 2018;Green et al, 2019;Joerin, Rauws and Ackerman, 2019;Park et al, 2019b)), seguida pela promoção de saúde e bem-estar ((Fadhil, Schiavo and Wang, 2019;Kramer et al, 2019)) e medicina diagnóstica ((Denecke et al, 2018;Ghosh, Bhatia and Bhatia, 2018;Ni and Liu, 2018)). Um grande volume de pesquisas tivera enfoque a atenção primária à saúde, englobando cuidado diário com medicamentos, pacientes em recuperação cirúrgica ou no tratamento de alguma doença crônica ou de longa duração de tratamento e/ou que exige cuidados específicos((Abashev et al, 2017;Fadhil, 2018Fang, Bjering and Ginige, 2018;Chaix et al, 2019;Goldenthal et al, 2019;Hernandez, 2019;Hess, Fricker and Denecke, 2019;Stephens et al, 2019)).…”