Literature DB >> 35627920

Health Professionals' Experience Using an Azure Voice-Bot to Examine Cognitive Impairment (WAY2AGE).

Carmen Moret-Tatay1, Hernán Mario Radawski1, Cecilia Guariglia2,3.   

Abstract

Virtual Assistants (VA) are a new groundbreaking tool for screening cognitive impairment by healthcare professionals. By providing the volume of data needed in healthcare guidance, better treatment monitoring and optimization of costs are expected. One of the first steps in the development of these items is the experience of the healthcare professionals in their use. The general goal of the current project, WAY2AGE, is to examine healthcare professionals' experience in using an Azure voice-bot for screening cognitive impairment. In this way, back-end services, such as the ChatBot, Speech Service and databases, are provided by the cloud platform Azure (Paas) for a pilot study. Most of the underlying scripts are implemented in Python, Net, JavaScript and open software. A sample of 30 healthcare workers volunteered to participate by answering a list of question in a survey set-up, following the example provided in the previous literature. Based on the current results, WAY2AGE was evaluated very positively in several categories. The main challenge of WAY2AGE is the articulation problems of some older people, which can lead to errors in the transcription of audio to text that will be addressed in the second phase. Following an analysis of the perception of a group of thirty health professionals on its usability, potential limitations and opportunities for future research are discussed.

Entities:  

Keywords:  Azure; cognitive impairment; health professionals; voice-bot design

Year:  2022        PMID: 35627920      PMCID: PMC9141852          DOI: 10.3390/healthcare10050783

Source DB:  PubMed          Journal:  Healthcare (Basel)        ISSN: 2227-9032


  32 in total

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Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

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Journal:  Psychol Assess       Date:  2002-12

3.  Clinical evaluation of the mini-mental state exam with culturally deaf senior citizens.

Authors:  Pamela M Dean; David M Feldman; Donna Morere; Diane Morton
Journal:  Arch Clin Neuropsychol       Date:  2009-10-27       Impact factor: 2.813

Review 4.  Nonphysician Care Providers Can Help to Increase Detection of Cognitive Impairment and Encourage Diagnostic Evaluation for Dementia in Community and Residential Care Settings.

Authors:  Katie Maslow; Richard H Fortinsky
Journal:  Gerontologist       Date:  2018-01-18

5.  Validity of the Mini-Mental State examination as a screening instrument for cognitive impairment and dementia in French elderly community residents.

Authors:  M Gagnon; L Letenneur; J F Dartigues; D Commenges; J M Orgogozo; P Barberger-Gateau; A Alpérovitch; A Décamps; R Salamon
Journal:  Neuroepidemiology       Date:  1990       Impact factor: 3.282

6.  Syntactic Complexity as a Linguistic Marker to Differentiate Mild Cognitive Impairment From Normal Aging.

Authors:  Jee Eun Sung; Sujin Choi; Bora Eom; Jae Keun Yoo; Jee Hyang Jeong
Journal:  J Speech Lang Hear Res       Date:  2020-05-13       Impact factor: 2.297

7.  Making Older Adults' Cognitive Health Visible After Covid-19 Outbreak.

Authors:  Francesco Della Gatta; Chiara Terribili; Elisa Fabrizi; Carmen Moret-Tatay
Journal:  Front Psychol       Date:  2021-06-14

Review 8.  Mobile Health Applications to Promote Active and Healthy Ageing.

Authors:  Jorunn L Helbostad; Beatrix Vereijken; Clemens Becker; Chris Todd; Kristin Taraldsen; Mirjam Pijnappels; Kamiar Aminian; Sabato Mellone
Journal:  Sensors (Basel)       Date:  2017-03-18       Impact factor: 3.576

Review 9.  Applications of Big Data Analytics to Control COVID-19 Pandemic.

Authors:  Shikah J Alsunaidi; Abdullah M Almuhaideb; Nehad M Ibrahim; Fatema S Shaikh; Kawther S Alqudaihi; Fahd A Alhaidari; Irfan Ullah Khan; Nida Aslam; Mohammed S Alshahrani
Journal:  Sensors (Basel)       Date:  2021-03-24       Impact factor: 3.576

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  1 in total

1.  Predicting Scores on the Mini-Mental State Examination (MMSE) from Spontaneous Speech.

Authors:  Alma M Bueno-Cayo; Minerva Del Rio Carmona; Rosa Castell-Enguix; Isabel Iborra-Marmolejo; Mike Murphy; Tatiana Quarti Irigaray; José Francisco Cervera; Carmen Moret-Tatay
Journal:  Behav Sci (Basel)       Date:  2022-09-16
  1 in total

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