Literature DB >> 30887432

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

Sudhakar V Nuti1,2, Patrick Doupe3, Blanca Villanueva4, Joseph Scarpa2, Emilie Bruzelius2,5, Aaron Baum6.   

Abstract

Entities:  

Keywords:  Medicaid; high-cost patients; high-need patients; machine learning; patient segmentation

Year:  2019        PMID： 30887432      PMCID： PMC6667598          DOI： 10.1007/s11606-019-04941-8

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN： 0884-8734            Impact factor:   5.128


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  5 in total

1.  Caring for High-Need, High-Cost Patients - An Urgent Priority.

Authors:  David Blumenthal; Bruce Chernof; Terry Fulmer; John Lumpkin; Jeffrey Selberg
Journal:  N Engl J Med       Date:  2016-07-27       Impact factor: 91.245

2.  Attributes common to programs that successfully treat high-need, high-cost individuals.

Authors:  Gerard F Anderson; Jeromie Ballreich; Sara Bleich; Cynthia Boyd; Eva DuGoff; Bruce Leff; Claudia Salzburg; Jennifer Wolff
Journal:  Am J Manag Care       Date:  2015-11-01       Impact factor: 2.229

3.  Models of Care for High-Need, High-Cost Patients: An Evidence Synthesis.

Authors:  Douglas McCarthy; Jamie Ryan; Sarah Klein
Journal:  Issue Brief (Commonw Fund)       Date:  2015-10

4.  For many patients who use large amounts of health care services, the need is intense yet temporary.

Authors:  Tracy L Johnson; Deborah J Rinehart; Josh Durfee; Daniel Brewer; Holly Batal; Joshua Blum; Carlos I Oronce; Paul Melinkovich; Patricia Gabow
Journal:  Health Aff (Millwood)       Date:  2015-08       Impact factor: 6.301

Review 5.  Systematic Review of Programs Treating High-Need and High-Cost People With Multiple Chronic Diseases or Disabilities in the United States, 2008-2014.

Authors:  Sara N Bleich; Cheryl Sherrod; Anne Chiang; Cynthia Boyd; Jennifer Wolff; Eva DuGoff; Eva Chang; Claudia Salzberg; Keely Anderson; Bruce Leff; Gerard Anderson
Journal:  Prev Chronic Dis       Date:  2015-11-12       Impact factor: 2.830
  5 in total
  1 in total

1.  Temporal Patterns of High-Spend Subgroups Can Inform Service Strategy for Medicare Advantage Enrollees.

Authors:  Samuel J Amodeo; Henrik F Kowalkowski; Halley L Brantley; Nicholas W Jones; Lauren R Bangerter; David J Cook
Journal:  J Gen Intern Med       Date:  2021-06-07       Impact factor: 6.473
  1 in total

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