Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol
Introduction Artificial intelligence (AI) development has led to improvements in many areas of medicine. Canada has workforce pressures in delivering cataract care. A potential solution is using AI technology that can automate care delivery, increase effectiveness and decrease burdens placed on pati...
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BMJ Publishing Group
2024-05-01
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| Series: | BMJ Open Ophthalmology |
| Online Access: | https://bmjophth.bmj.com/content/9/1/e001475.full |
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| author | Sarah Khavandi Ernest Lim Aisling Higham Nick de Pennington Amin Hatamnejad Sohel Somani Eric S Tam Hannah H Chiu |
| author_facet | Sarah Khavandi Ernest Lim Aisling Higham Nick de Pennington Amin Hatamnejad Sohel Somani Eric S Tam Hannah H Chiu |
| author_sort | Sarah Khavandi |
| collection | DOAJ |
| description | Introduction Artificial intelligence (AI) development has led to improvements in many areas of medicine. Canada has workforce pressures in delivering cataract care. A potential solution is using AI technology that can automate care delivery, increase effectiveness and decrease burdens placed on patients and the healthcare system. This study assesses the use of ‘Dora’, an example of an AI assistant that is able to deliver a regulated autonomous, voice-based, natural-language consultation with patients over the telephone. Dora is used in routine practice in the UK, but this study seeks to assess the safety, usability, acceptability and cost-effectiveness of using the technology in Canada.Methods and analysis This is a two-phase prospective single-centred trial. An expected 250 patients will be recruited for each phase of the study. For Phase I of the study, Dora will phone patients at postoperative week 1 and for Phase II of the study, Dora will phone patients within 24hours of their cataract surgery and again at postoperative week 1. We will evaluate the agreement between Dora and a supervising clinician regarding the need for further review based on the patients’ symptoms. A random sample of patients will undergo the System Usability Scale followed by an extended semi-structured interview. The primary outcome of agreement between Dora and the supervisor will be assessed using the kappa statistic. Qualitative data from the interviews will further gauge patient opinions about Dora’s usability, appropriateness and level of satisfaction.Ethics and dissemination Research Ethics Board William Osler Health System (ID: 22–0044) has approved this study and will be conducted by guidelines of Declaration of Helsinki. Master-linking sheet will contain the patient chart identification (ID), full name, date of birth and study ID. Results will be shared through peer-reviewed journals and presentations at conferences. |
| format | Article |
| id | doaj-art-7c71ffac6dcb4f74b365ea3ea9e93c4b |
| institution | Kabale University |
| issn | 2397-3269 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open Ophthalmology |
| spelling | doaj-art-7c71ffac6dcb4f74b365ea3ea9e93c4b2025-02-06T11:20:10ZengBMJ Publishing GroupBMJ Open Ophthalmology2397-32692024-05-019110.1136/bmjophth-2023-001475Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocolSarah Khavandi0Ernest Lim1Aisling Higham2Nick de Pennington3Amin Hatamnejad4Sohel Somani5Eric S Tam6Hannah H Chiu72 Imperial College London, London, UKUfonia Limited, Oxford, UKUfonia Limited, Oxford, UKUfonia Limited, Oxford, UKMcMaster University Michael G DeGroote School of Medicine, Hamilton, Ontario, CanadaDepartment of Opthalmology and Vision Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, CanadaDepartment of Opthalmology and Vision Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, CanadaMcMaster University Michael G DeGroote School of Medicine, Hamilton, Ontario, CanadaIntroduction Artificial intelligence (AI) development has led to improvements in many areas of medicine. Canada has workforce pressures in delivering cataract care. A potential solution is using AI technology that can automate care delivery, increase effectiveness and decrease burdens placed on patients and the healthcare system. This study assesses the use of ‘Dora’, an example of an AI assistant that is able to deliver a regulated autonomous, voice-based, natural-language consultation with patients over the telephone. Dora is used in routine practice in the UK, but this study seeks to assess the safety, usability, acceptability and cost-effectiveness of using the technology in Canada.Methods and analysis This is a two-phase prospective single-centred trial. An expected 250 patients will be recruited for each phase of the study. For Phase I of the study, Dora will phone patients at postoperative week 1 and for Phase II of the study, Dora will phone patients within 24hours of their cataract surgery and again at postoperative week 1. We will evaluate the agreement between Dora and a supervising clinician regarding the need for further review based on the patients’ symptoms. A random sample of patients will undergo the System Usability Scale followed by an extended semi-structured interview. The primary outcome of agreement between Dora and the supervisor will be assessed using the kappa statistic. Qualitative data from the interviews will further gauge patient opinions about Dora’s usability, appropriateness and level of satisfaction.Ethics and dissemination Research Ethics Board William Osler Health System (ID: 22–0044) has approved this study and will be conducted by guidelines of Declaration of Helsinki. Master-linking sheet will contain the patient chart identification (ID), full name, date of birth and study ID. Results will be shared through peer-reviewed journals and presentations at conferences.https://bmjophth.bmj.com/content/9/1/e001475.full |
| spellingShingle | Sarah Khavandi Ernest Lim Aisling Higham Nick de Pennington Amin Hatamnejad Sohel Somani Eric S Tam Hannah H Chiu Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol BMJ Open Ophthalmology |
| title | Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol |
| title_full | Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol |
| title_fullStr | Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol |
| title_full_unstemmed | Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol |
| title_short | Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol |
| title_sort | feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population two phase prospective study protocol |
| url | https://bmjophth.bmj.com/content/9/1/e001475.full |
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