TY - JOUR
T1 - Editorial Commentary
T2 - Big Data, Big Questions: Insulin Dependence Complicates Arthroscopy Outcomes
AU - Colvin, Alexis Chiang
N1 - Publisher Copyright:
© 2019 Arthroscopy Association of North America
PY - 2019/5
Y1 - 2019/5
N2 - Analysis of big data has the potential to improve quality of care, reduce waste and error, reduce cost of care, and save lives. Big data analytics can improve treatment protocols for a range of chronic conditions including diabetes mellitus in patients scheduled for shoulder and knee arthroscopy.
AB - Analysis of big data has the potential to improve quality of care, reduce waste and error, reduce cost of care, and save lives. Big data analytics can improve treatment protocols for a range of chronic conditions including diabetes mellitus in patients scheduled for shoulder and knee arthroscopy.
UR - http://www.scopus.com/inward/record.url?scp=85064641181&partnerID=8YFLogxK
U2 - 10.1016/j.arthro.2019.02.012
DO - 10.1016/j.arthro.2019.02.012
M3 - Editorial
C2 - 31054711
AN - SCOPUS:85064641181
SN - 0749-8063
VL - 35
SP - 1322
EP - 1323
JO - Arthroscopy - Journal of Arthroscopic and Related Surgery
JF - Arthroscopy - Journal of Arthroscopic and Related Surgery
IS - 5
ER -