Open AccessSmartphone Data Capture Efficiently Augments Dictation for Knee Arthroscopic Surgery
Author(s) -
Joseph Featherall,
Sameer R. Oak,
Greg Strnad,
Lutul D. Farrow,
Morgan Jones,
Anthony Miniaci,
Richard D. Parker,
James Rosneck,
Paul Saluan,
Kurt P. Spindler
Publication year - 2020
Publication title -
journal of the american academy of orthopaedic surgeons
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.343
H-Index - 111
eISSN - 1095-8762
pISSN - 1067-151X
DOI - 10.5435/jaaos-d-19-00074
Subject(s) - medicine , cohen's kappa , data consistency , statistic , data quality , data management , medical physics , data mining , database , computer science , machine learning , statistics , metric (unit) , operations management , mathematics , economics
The objectives of this study are (1) to develop a provider-friendly, evidence-based data capture system for lower-limb orthopaedic surgeries and (2) to assess the performance of the data capture system on the dimensions of agreement with operative note and implant log, consistency of data, and speed of provider input.