Can Administrative Claims Data Accurately Identify LowValue Pre- Operative Cardiovascular Testing?

被引:0
|
作者
Klahr, Rebecca
Wu, Kelly
Smith, Michelle
Han, Jessica
Casale, Paul N.
Kini, Vinay
机构
关键词
Quality of medical care; Preoperative; Stress;
D O I
10.1161/circ.148.suppl_1.14471
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
A14471
引用
收藏
页数:2
相关论文
共 50 条
  • [21] Development and Validation of an Algorithm to Identify Endometrial Adenocarcinoma in US Administrative Claims Data
    Esposito, D. B.
    Banerjee, G.
    Yin, R.
    Russo, L.
    Goldstein, S.
    Patsner, B.
    Lanes, S.
    JOURNAL OF CANCER EPIDEMIOLOGY, 2019, 2019
  • [22] Development and Validation of an Algorithm to Identify Endometrial Hyperplasia in US Administrative Claims Data
    Esposito, Daina B.
    Yin, Ruihua
    Russo, Leo J.
    Ridgeway, Gregory
    Finkle, William J.
    Goldstein, Steven R.
    Mittal, Khushbakhat
    Walsh, Brian W.
    Lanes, Stephan F.
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2016, 25 : 160 - 160
  • [23] Using Administrative Data To Accurately Identify Patients with Chronic Obstructive Pulmonary Disease (COPD)
    Cooke, C. R.
    Joo, M.
    Urdis, E. M.
    Johnson, E.
    Au, D.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2009, 179
  • [24] Pre-Operative Cardiovascular Testing before Liver Transplantation
    Case, Brian C.
    Yang, Michael
    Qamer, Syed Z.
    Kumar, Sant
    Yerasi, Charan
    Forrestal, Brian J.
    Chezar-Azerrad, Chava
    Medranda, Giorgio A.
    Bernardo, Nelson L.
    Rogers, Toby
    Satler, Lowell F.
    Hashim, Hayder
    Satoskar, Rohit S.
    Lalos, Alexander T.
    Waksman, Ron
    Ben-Dor, Itsik
    AMERICAN JOURNAL OF CARDIOLOGY, 2021, 152 : 132 - 137
  • [25] HOW ACCURATELY CAN WE IDENTIFY RHEUMATOID ARTHRITIS BY ICD-10 CODES? A LINKAGE OF CROSS-SECTIONAL SURVEY DATA WITH CLAIMS DATA
    Callhoff, J.
    Albrecht, K.
    Marschall, U.
    Hoffmann, F.
    ANNALS OF THE RHEUMATIC DISEASES, 2022, 81 : 310 - 310
  • [26] Validation of Algorithms to Identify Bone Metastases Using Administrative Claims Data in a Japanese Hospital
    Takahiro Hirano
    Naoko Saito
    Ryozo Wakabayashi
    Ryohei Kuwatsuru
    Drugs - Real World Outcomes, 2023, 10 : 187 - 194
  • [27] Validation of Algorithms to Identify Bone Metastases Using Administrative Claims Data in a Japanese Hospital
    Hirano, Takahiro
    Saito, Naoko
    Wakabayashi, Ryozo
    Kuwatsuru, Ryohei
    DRUGS-REAL WORLD OUTCOMES, 2023, 10 (02) : 187 - 194
  • [28] Can the American Joint Replacement Registry Utilize Administrative Claims Data to Accurately Classify Revision Total Hip Arthroplasty (THA) Surgical Diagnoses?
    Wilson, Jacob M.
    Broida, Samuel E.
    Kremers, Hilal Maradit
    Browne, James B.
    Springer, Bryan D.
    Berry, Daniel J.
    Lewallen, David G.
    Bedard, Nicholas A.
    JOURNAL OF ARTHROPLASTY, 2023, 38 (07): : S179 - +
  • [29] Author response: A predictive model to identify Parkinson disease from administrative claims data
    Nielsen, Susan Searles
    Racette, Brad A.
    NEUROLOGY, 2018, 91 (02) : 104 - 104
  • [30] Validation of Operational Definition to Identify Patients with Osteoporotic Hip Fractures in Administrative Claims Data
    Lee, Young-Kyun
    Yoo, Jun-Il
    Kim, Tae-Young
    Ha, Yong-Chan
    Koo, Kyung-Hoi
    Choi, Hangseok
    Lee, Seung-Mi
    Suh, Dong-Churl
    HEALTHCARE, 2022, 10 (09)