UNITING CLAIMS AND ELECTRONIC HEALTH RECORDS DATA TO BUILD A PREDICTIVE MODEL FOR NEED OF PALLIATIVE CARE IN CHRONIC DISEASE PATIENTS IN THE US

被引:0
|
作者
Verma, V. [1 ]
Brooks, L. [2 ]
Field, S. [3 ]
Daral, S. [4 ]
Gupta, A. [4 ]
Chawla, S. [4 ]
Anand, S. [4 ]
Nayyar, A. [4 ]
Dawar, V [4 ]
Bhargava, S. [5 ]
机构
[1] Optum, Gurgaon, HR, India
[2] Optum, Basking Ridge, NJ USA
[3] Optum, Dallas, TX USA
[4] Optum, Gurugram, HR, India
[5] Optum Tech, Eden Prairie, MN USA
关键词
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
RWD5
引用
收藏
页码:S360 / S361
页数:2
相关论文
共 50 条
  • [1] Using Electronic Health Records and Claims Data to Identify High-risk Patients Likely to Benefit From Palliative Care
    Guo, Aixia
    Foraker, Randi
    White, Patrick
    Chivers, Corey
    Courtright, Katherine
    Moore, Nathan
    AMERICAN JOURNAL OF MANAGED CARE, 2021, 27 (01): : E7 - +
  • [2] Characteristics of Bariatric Surgery Patients in US Electronic Health Records-Claims Linked Data
    Girguis, Mariam
    Albaugh, Vance
    Almandoz, Jaime
    Lillie, Mark
    Spencer, Jessica
    Muntner, Paul
    Abbasi, Siddique
    O'Kelly, James
    OBESITY, 2024, 32 : 211 - 211
  • [3] Neighborhood-Level Chronic Disease Surveillance: Utility of Primary Care Electronic Health Records and Emergency Department Claims Data
    Chan, Pui Ying
    Perlman, Sharon E.
    Lee, David C.
    Smolen, Jenny R.
    Lim, Sungwoo
    JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE, 2022, 28 (01): : E109 - E118
  • [4] CKD as a Model for Improving Chronic Disease Care through Electronic Health Records
    Drawz, Paul E.
    Archdeacon, Patrick
    McDonald, Clement J.
    Powe, Neil R.
    Smith, Kimberly A.
    Norton, Jenna
    Williams, Desmond E.
    Patel, Uptal D.
    Narva, Andrew
    CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2015, 10 (08): : 1488 - 1499
  • [5] y CLINICAL OUTCOMES IN PATIENTS WITH ANEMIA IN CKD USING LINKED US CLAIMS AND ELECTRONIC HEALTH RECORDS DATA
    Wittbrodt, Eric
    James, Glen
    Kumar, Supriya
    Sanchez, Juan Jose Garcia
    Chen, Hungta
    Sloand, James
    Kalantar-Zadeh, Kamyar
    AMERICAN JOURNAL OF KIDNEY DISEASES, 2020, 75 (04) : 655 - 655
  • [6] Using Electronic Health Records to Build an Ophthalmologic Data Warehouse and Visualize Patients' Data
    Kortuem, Karsten U.
    Mueller, Michael
    Kern, Christoph
    Babenko, Alexander
    Mayer, Wolfgang J.
    Kampik, Anselm
    Kreutzer, Thomas C.
    Priglinger, Siegfried
    Hirneiss, Christoph
    AMERICAN JOURNAL OF OPHTHALMOLOGY, 2017, 178 : 84 - 93
  • [7] Incomplete Comparisons Between the Predictive Power of Data From Administrative Claims and Electronic Health Records
    Weissman, Gary E.
    Harhay, Michael O.
    MEDICAL CARE, 2018, 56 (02) : 202 - 202
  • [8] Using electronic health records data to identify patients with chronic pain in a primary care setting
    Tian, Terrence Y.
    Zlateva, Ianita
    Anderson, Daren R.
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2013, 20 (E2) : E275 - E280
  • [9] Agreement between electronic health records and administrative claims data for patients with multiple myeloma
    McGrath, Leah J.
    Hernandez, Rohini K.
    Yu, Ying
    Overman, Robert A.
    Reams, Diane
    Liede, Alexander
    Brookhart, M. Alan
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2018, 27 : 86 - 86
  • [10] A machine learning model identifies patients in need of autoimmune disease testing using electronic health records
    Forrest, Iain S. S.
    Petrazzini, Ben O. O.
    Duffy, Aine
    Park, Joshua K. K.
    O'Neal, Anya J. J.
    Jordan, Daniel M. M.
    Rocheleau, Ghislain
    Nadkarni, Girish N. N.
    Cho, Judy H. H.
    Blazer, Ashira D. D.
    Do, Ron
    NATURE COMMUNICATIONS, 2023, 14 (01)