User-acceptability of an automated telephone call for post-operative follow-up after uncomplicated cataract surgery

Author:

Khavandi Sarah,Lim ErnestORCID,Higham Aisling,de Pennington Nick,Bindra Mandeep,Maling Sarah,Adams MikeORCID,Mole Guy

Funder

Innovate UK

NIHR AI in Health and Care Award, of which Ufonia Limited is the grant holder. Innovate UK

Publisher

Springer Science and Business Media LLC

Subject

Ophthalmology

Reference42 articles.

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2. NHS. NHS Long Term Plan. Chapter 5: digitally-enabled care will go mainstream across the NHS. [cited 2022 Jan 25]. Available from: https://www.longtermplan.nhs.uk/online-version/chapter-5-digitally-enabled-care-will-go-mainstream-across-the-nhs/

3. Yim J, Chopra R, Spitz T, Winkens J, Obika A, Kelly C, et al. Predicting conversion to wet age-related macular degeneration using deep learning. Nat Med. 2020;26:892–9.

4. Keel S, Lee PY, Scheetz J, Li Z, Kotowicz MA, MacIsaac RJ, et al. Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot study. Sci Rep. 2018;8:4330.

5. Hoffman JJSL, Pelosini L. Telephone follow-up for cataract surgery: feasibility and patient satisfaction study. Int J Health Care Qual Assur. 2016;29:407–16.

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