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

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

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.

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Bibliographische Detailangaben
Veröffentlicht in:Arthroscopy 2019-05, Vol.35 (5), p.1322-1323
1. Verfasser: Colvin, Alexis Chiang
Format: Artikel
Sprache:eng
Schlagworte:
Arthroscopy
Big Data
Humans
Insulin
Knee Joint
Shoulder
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Beschreibung
Zusammenfassung: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.
ISSN:0749-8063
1526-3231
DOI:10.1016/j.arthro.2019.02.012