Evidence map›Paper›PMID 37425026›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2023

End-to-End Impact of a Cloud-Based Surgical Planning System on Efficiency in Cataract Surgery: A Time-and-Motion Study.

Zachary Zavodni, Li-Chen Pan, Kaitlyn Mok, Hang Cheng, Derek O'Boyle

Open access · goldAbstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Zachary ZavodniThe Eye Institute of Utah, Salt Lake City, UT, USA.
Li-Chen PanVeranex Solutions, Inc., Boston, MA, USA.
Kaitlyn MokVeranex Solutions, Inc., Boston, MA, USA.ORCID 0000-0003-1213-691X
Hang ChengAlcon Vision, LLC, Fort Worth, TX, USA.
Derek O'BoyleAlcon Laboratories Ireland Ltd., Cork, Ireland.
Alcon (Ireland) · IEAlcon (United States) · USEye Institute of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Inefficiencies from manual data entry and non-integration exist throughout the cataract surgery workflow. The aim of this study was to evaluate the impact of SMARTCataract, an innovative cloud-based digital surgical planning platform (SPS) on efficiency in preoperative (diagnostic workup, surgery planning), intraoperative, and postoperative phases of cataract surgery. The primary objective aimed to assess time and number of manual transcription data points (TPs) required for all pre-, intra-, and postoperative devices that integrate with the SPS and surgery planning time across three patient types (post-refractive, astigmatic, conventional). The secondary objective aimed to assess the overall efficiency impact of the SPS on the surgery workflow for the three patient types by leveraging time-and-motion methods and workflow mapping. Patients and Methods: This prospective, observational, real-world, pre- and post-cohort time-and-motion study included patients undergoing evaluation for cataract surgery and/or surgery at the study site. Assessed variables included time and TPs required for clinical activities and devices associated with traditional manual methods (pre-cohort) versus the SPS (post-cohort). Statistical analyses ( Results: The SPS demonstrated statistically significant time savings over traditional methods in TP data input time taken across all integrated pre-, intra-, and postoperative devices (p<0.0001). The SPS additionally demonstrated statistically significant time savings in preoperative surgery planning across post-refractive (p<0.0001), astigmatic (p=0.0005), and conventional (p=0.0004) cataract patient groups. Overall, the SPS reduced end-to-end patient workflow time and TPs for post-refractive, astigmatic, and conventional cataract patients by averages of 13.2, 12.6, and 4.3 minutes and 184, 166, and 25 TPs per patient, respectively. Conclusion: Through the SPS' integration and surgery planning capabilities, substantial time efficiencies can be achieved for cataract surgery practices, clinicians, and patients compared to surgery planning with traditional manual methods.

Indexed as

manual transcriptionreal-world observational studysurgical planning softwaretime efficiency

Identifiers

PMID37425026
PMCPMC10327899
OpenAlexW4382927804

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.