Safety and acceptability of a natural-language AI assistant to deliver clinical follow-up to cataract surgery patients: Proposal for a pragmatic evaluation
dc.contributor.author | de Pennington, N | |
dc.contributor.author | Mole, G | |
dc.contributor.author | Lim, E | |
dc.contributor.author | Milne-Ives, Madison | |
dc.contributor.author | Normando, E | |
dc.contributor.author | Xue, K | |
dc.contributor.author | Meinert, Edward | |
dc.date.accessioned | 2021-01-21T10:18:52Z | |
dc.date.issued | 2021-07-28 | |
dc.identifier.issn | 1929-0748 | |
dc.identifier.issn | 1929-0748 | |
dc.identifier.other | e27227 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/16811 | |
dc.description.abstract |
Background: Due to an ageing population, the demand for many services is exceeding the capacity of the clinical workforce. As a result, staff are facing a crisis of burnout from being pressured to deliver high-volume workloads, driving increasing costs for providers. Artificial intelligence, in the form of conversational agents, presents a possible opportunity to enable efficiencies in the delivery of care. Aims and Objectives: This study aims to evaluate the effectiveness, usability, and acceptability of Dora - an AI-enabled autonomous telemedicine call - for detection of post-operative cataract surgery patients who require further assessment. The study’s objectives are to: 1) establish Dora’s efficacy in comparison to an expert clinician, 2) determine baseline sensitivity and specificity for detection of true complications, 3) evaluate patient acceptability, 4) collect evidence for cost-effectiveness, and 5) capture data to support further development and evaluation. Methods: Based on implementation science, the interdisciplinary study will be a mixed-methods phase one pilot establishing inter-observer reliability of the system, usability, and acceptability. This will be done using using the following scales and frameworks: the system usability scale; assessment of Health Information Technology Interventions in Evidence-Based Medicine Evaluation Framework; the telehealth usability questionnaire (TUQ); the Non-Adoption, Abandonment and Challenges to the Scale-up, Spread and Suitability (NASSS) framework. Results: The results will be included in the final evaluation paper, which we aim to publish in 2022. The study will last eighteen months: seven months of evaluation and intervention refinement, nine months of implementation and follow-up, and two months of post-evaluation analysis and write-up. Conclusions: The project’s key contributions will be evidence on artificial intelligence voice conversational agent effectiveness, and associated usability and acceptability. | |
dc.format.extent | e27227-e27227 | |
dc.format.medium | Electronic | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | JMIR Publications | |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.subject | aftercare | |
dc.subject | artificial intelligence | |
dc.subject | cataract | |
dc.subject | cell phone | |
dc.subject | chatbot | |
dc.subject | conversational agent | |
dc.subject | delivery of health care | |
dc.subject | dialogue system | |
dc.subject | expert systems | |
dc.subject | health communication | |
dc.subject | health services | |
dc.subject | internet | |
dc.subject | medical informatics | |
dc.subject | mental health | |
dc.subject | natural language processing | |
dc.subject | patient acceptance of health care | |
dc.subject | relational agent | |
dc.subject | speech recognition software | |
dc.subject | telemedicine | |
dc.title | Safety and acceptability of a natural-language AI assistant to deliver clinical follow-up to cataract surgery patients: Proposal for a pragmatic evaluation | |
dc.type | journal-article | |
dc.type | Journal Article | |
plymouth.author-url | https://www.ncbi.nlm.nih.gov/pubmed/34319248 | |
plymouth.issue | 7 | |
plymouth.volume | 10 | |
plymouth.publication-status | Published online | |
plymouth.journal | JMIR Research Protocols | |
dc.identifier.doi | 10.2196/27227 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Health | |
plymouth.organisational-group | /Plymouth/Faculty of Health/School of Nursing and Midwifery | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA03 Allied Health Professions, Dentistry, Nursing and Pharmacy | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
plymouth.organisational-group | /Plymouth/Users by role/Researchers in ResearchFish submission | |
dc.publisher.place | Canada | |
dcterms.dateAccepted | 2021-01-20 | |
dc.rights.embargodate | 2021-8-27 | |
dc.identifier.eissn | 1929-0748 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.2196/27227 | |
rioxxterms.licenseref.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
rioxxterms.licenseref.startdate | 2021-07-28 | |
rioxxterms.type | Journal Article/Review |