Big Data and Total Hip Arthroplasty: How Do Large Databases Compare?

Journal of Arthroplasty

Volumn 33, Issue 1, 2018, Pages 41-45.e3

  Bedard, Nicholas A ^a   Pugely, Andrew J ^a   McHugh, Michael A ^a   Lux, Nathan R ^a   Bozic, Kevin J ^b   Callaghan, John J ^a  

^a UNIVERSITY OF IOWA HOSPITALS AND CLINICS   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

administrative claims; big data; claims based data; clinical registry; database; total hip arthroplasty

Indexed keywords

AGE DISTRIBUTION; AGED; ARTICLE; CEREBROVASCULAR ACCIDENT; COMORBIDITY; DATA BASE; DEMOGRAPHY; FEMALE; HUMAN; INFECTION RATE; MAJOR CLINICAL STUDY; MALE; OBESITY; POSTOPERATIVE COMPLICATION; PREVALENCE; SEX RATIO; VERY ELDERLY; CLINICAL TRIAL; COMPARATIVE STUDY; FACTUAL DATABASE; HIP REPLACEMENT; HOSPITAL PATIENT; INTERNATIONAL CLASSIFICATION OF DISEASES; MEDICARE; MIDDLE AGED; MULTICENTER STUDY; STATISTICS AND NUMERICAL DATA; TOTAL QUALITY MANAGEMENT; UNITED STATES;

AGED; ARTHROPLASTY, REPLACEMENT, HIP; COMORBIDITY; DATABASES, FACTUAL; FEMALE; HUMANS; INPATIENTS; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; MEDICARE; MIDDLE AGED; POSTOPERATIVE COMPLICATIONS; PREVALENCE; QUALITY IMPROVEMENT; UNITED STATES;

EID: 85030637085     PISSN: 08835403     EISSN: 15328406     Source Type: Journal    
DOI: 10.1016/j.arth.2017.09.003     Document Type: Article

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