Editorial Commentary: Big Data, Big Questions: Insulin Dependence Complicates Arthroscopy Outcomes

Alexis Chiang Colvin

doi:10.1016/j.arthro.2019.02.012

Editorial Commentary: Big Data, Big Questions: Insulin Dependence Complicates Arthroscopy Outcomes

Alexis Chiang Colvin

Research output: Contribution to journal › Editorial

Abstract

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.

Original language	English
Pages (from-to)	1322-1323
Number of pages	2
Journal	Arthroscopy - Journal of Arthroscopic and Related Surgery
Volume	35
Issue number	5
DOIs	https://doi.org/10.1016/j.arthro.2019.02.012
State	Published - May 2019

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10.1016/j.arthro.2019.02.012

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title = "Editorial Commentary: Big Data, Big Questions: Insulin Dependence Complicates Arthroscopy Outcomes",

abstract = "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.",

author = "Colvin, \{Alexis Chiang\}",

note = "Publisher Copyright: {\textcopyright} 2019 Arthroscopy Association of North America",

year = "2019",

month = may,

doi = "10.1016/j.arthro.2019.02.012",

language = "English",

volume = "35",

pages = "1322--1323",

journal = "Arthroscopy - Journal of Arthroscopic and Related Surgery",

issn = "0749-8063",

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number = "5",

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AU - Colvin, Alexis Chiang

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 - https://www.scopus.com/pages/publications/85064641181

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 -

Editorial Commentary: Big Data, Big Questions: Insulin Dependence Complicates Arthroscopy Outcomes

Abstract

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