Cataract
Conditions
Keywords
Artificial Intelligence
Brief summary
To analyze the evidence for clinical safety, usability, acceptability, satisfaction, appropriateness, and cost-effectiveness of Dora for recognizing patients who require additional in-person evaluation post cataract surgery. To assess Dora's sensitivity and specificity in cataract surgery management To determine what can be learnt to enhance AI technology in the field of ophthalmology especially when working with culturally diverse patients such as Punjabi and Chinese speaking patients.
Detailed description
Background: Cataract is defined as the degradation of the optical quality of the crystalline lens that affects vision and is the current leading cause of blindness worldwide. AI is set to revolutionize post-cataract surgery management by enhancing automation, increasing effectiveness, decreasing burdens placed on patients and the health care system. Ultimately, using AI-enabled automation could enhance patient management during and post cataract surgery.Cataract post-operative contact will be delivered by Dora agent, a natural language AI assistant. Aim and objective: Dora is a clinically safe, usable, appropriate, satisfactory and cost-effective AI technology for recognizing patients who require additional evaluation post cataract surgery.
Interventions
DEVICEDORA AI
Dora will phone patients on the day of cataract surgery (2 to 4 hours after discharge home) and again at postoperative week three. Dora calls made on the day of surgery will evaluate if the patient has any acute post-operative concerns like pain, and will prompt a postoperative day 1 visit if necessary. Calls to Dora at postoperative week three will result in either a follow-up to check refractive difficulties and/or confirmation of second eye surgery.
Sponsors
Uptown Eye Specialists
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SUPPORTIVE_CARE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Patients who are undergoing uncomplicated cataract surgery at a high volume surgical centre.
Exclusion criteria
* clinically significant complications during surgery that require more than the standard postop treatment or follow-up
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Dora is clinically safe | through study completion, an average of 4 weeks | Clinical safety will be assessed using the comparison between Dora's clinical decision and the OT team's clinical decision. |
| Dora is usable | through study completion, an average of 4 weeks | System usability scale will be used to assess usability of the technology. The scores are 0-100, a score above a 68 would be considered above average and anything below 68 is below average |
| Dora is clinically appropriate | through study completion, an average of 4 weeks | System usability scale will be used to assess appropriateness of the technology. The scores are 0-100, a score above a 68 would be considered above average and anything below 68 is below average |
| Dora's clinical cost-effectiveness | through study completion, an average of 4 weeks | Cost effectiveness will be assessed by comparing the cost of the system to the clinic specific costs (resources used and potential staff-hours) and patient specific costs (travel and time needed to be taken off from work) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Multi-lingual capacity of AI technology | through study completion, an average of 4 weeks | To determine what can be learnt to enhance AI technology in the field of ophthalmology especially when working with culturally diverse patients such as Punjabi and Chinese speaking patients by holding interviews from a randomly selected pool of applicants selected for an in-depth interview to better understand their experience with Dora such as challenges regarding communication and comprehension of the technology. |
Contacts
Primary ContactHannah Chiu, MD
Outcome results
None listed