Characterizing Subgroups of High-Need, High-Cost Patients Based on Their Clinical Conditions: a Machine Learning-Based Analysis of Medicaid Claims Data

被引：0
|
作者：
Sudhakar V. Nuti
Patrick Doupe
Blanca Villanueva
Joseph Scarpa
Emilie Bruzelius
Aaron Baum
机构：
[1] Yale School of Medicine,Department of Health System Design and Global Health, and the Arnhold Institute for Global Health
[2] Icahn School of Medicine at Mount Sinai,Department of Epidemiology, Joseph L Mailman School of Public Health
[3] Zalando,undefined
[4] Inc.,undefined
[5] CYNGN,undefined
[6] Inc.,undefined
[7] Columbia University,undefined
来源：
Journal of General Internal Medicine | 2019年 / 34卷
关键词：
Medicaid; high-cost patients; high-need patients; machine learning; patient segmentation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1406 / 1408
页数：2
相关论文
共 50 条
  • [1] Characterizing Subgroups of High-Need, High-Cost Patients Based on Their Clinical Conditions: a Machine Learning-Based Analysis of Medicaid Claims Data
    Nuti, Sudhakar V.
    Doupe, Patrick
    Villanueva, Blanca
    Scarpa, Joseph
    Bruzelius, Emilie
    Baum, Aaron
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2019, 34 (08) : 1406 - 1408
  • [2] A Novel Intervention for High-Need, High-Cost Medicaid Patients: a Study of ECHO Care
    Komaromy, Miriam
    Bartlett, Judy
    Gonzales-van Horn, Sarah R.
    Zurawski, Andrea
    Kalishman, Summers G.
    Zhu, Yiliang
    Davis, Herbert T.
    Ceballos, Venice
    Sun, Xi
    Jurado, Martin
    Page, Kimberly
    Hamblin, Allison
    Arora, Sanjeev
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2020, 35 (01) : 21 - 27
  • [3] Differential Impact of a Plan-Led Standardized Complex Care Management Intervention on Subgroups of High-Cost High-Need Medicaid Patients
    Quinton, Jacob K.
    Jackson, Nicholas
    Mangione, Carol M.
    Moin, Tannaz
    Vasilyev, Arseniy
    O'Shea, Donna L.
    Duru, O. Kenrik
    POPULATION HEALTH MANAGEMENT, 2023, 26 (02) : 100 - 106
  • [4] A Novel Intervention for High-Need, High-Cost Medicaid Patients: a Study of ECHO Care
    Miriam Komaromy
    Judy Bartlett
    Sarah R. Gonzales-van Horn
    Andrea Zurawski
    Summers G. Kalishman
    Yiliang Zhu
    Herbert T. Davis
    Venice Ceballos
    Xi Sun
    Martin Jurado
    Kimberly Page
    Allison Hamblin
    Sanjeev Arora
    Journal of General Internal Medicine, 2020, 35 : 21 - 27
  • [5] High-cost high-need patients in Medicaid: segmenting the population eligible for a national complex case management program
    Quinton, Jacob K.
    Duru, O. Kenrik
    Jackson, Nicholas
    Vasilyev, Arseniy
    Ross-Degnan, Dennis
    O'Shea, Donna L.
    Mangione, Carol M.
    BMC HEALTH SERVICES RESEARCH, 2021, 21 (01)
  • [6] High-cost high-need patients in Medicaid: segmenting the population eligible for a national complex case management program
    Jacob K. Quinton
    O. Kenrik Duru
    Nicholas Jackson
    Arseniy Vasilyev
    Dennis Ross-Degnan
    Donna L. O’Shea
    Carol M. Mangione
    BMC Health Services Research, 21
  • [7] Development and Evaluation of Machine Learning-Based High-Cost Prediction Model Using Health Check-Up Data by the National Health Insurance Service of Korea
    Choi, Yeongah
    An, Jiho
    Ryu, Seiyoung
    Kim, Jaekyeong
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (20)
  • [8] A machine learning-based clinical predictive tool to identify patients at high risk of medication errors
    Abdo, Ammar
    Gallay, Lyse
    Vallecillo, Thibault
    Clarenne, Justine
    Quillet, Pauline
    Vuiblet, Vincent
    Merieux, Rudy
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [9] Machine learning-based prediction of phases in high-entropy alloys: A data article
    Machaka, Ronald
    Motsi, Glenda T.
    Raganya, Lerato M.
    Radingoana, Precious M.
    Chikosha, Silethelwe
    DATA IN BRIEF, 2021, 38
  • [10] Deep Learning-Based Survival Analysis for High-Dimensional Survival Data
    Hao, Lin
    Kim, Juncheol
    Kwon, Sookhee
    Ha, Il Do
    MATHEMATICS, 2021, 9 (11)
12345