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Going paperless: improved cataract surgery outcome data quality in a new fully electronic unit.

Allan Zhifa NghiemC CanningJ EasonJ M SparrowT H Flynn
Published in: Eye (London, England) (2019)
A data set of >5000 consecutive cataract operations was obtained in this eye department. The recording of pre- and post-operative visual acuity in 98% of cases compare very favourably to the RCOphth NOD Audit Report 2017 where pre- and post-operative visual acuities were recorded in only 57.1% of operations. Despite this difference, the outcome measures from this unit and RCOphth NOD were very similar, validating the results of the RCOphth NOD audit reports. Significantly, when applying the RCOphth NOD audit criteria for measuring post-operative visual acuity, approximately 15% of cases were excluded from the data set, reducing the completeness of the data set. Paperless ophthalmology units are feasible in today's NHS and can produce near complete cataract data sets; this can ultimately lead to more comprehensive and reliable aggregate cataract outcome data.
Keyphrases
  • electronic health record
  • big data
  • cataract surgery
  • emergency department
  • artificial intelligence
  • machine learning
  • data analysis
  • quality improvement