Repository logo
Log In

University Digital Conservancy

University Digital Conservancy

Communities & Collections
Browse
About
AboutHow to depositPolicies
Contact

Browse by Subject

  1. Home
  2. Browse by Subject

Browsing by Subject "Health Informatics/Information Technology"

Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    Validation Of The Risk Adjustment Method - Adjusted Clinical Groups (ACG) As Applied To The Chinese Healthcare System
    (2015-09) Zhang, Yi
    With the expansion of both health insurance coverage and the scale of health insurance fund, the basic Chinese health insurance has covered 97% of the Chinese population. As a result, the payment from third parties accounts for a large amount of healthcare expense. These result in increasing power from the third party payers to influence the healthcare market and the delivery of care in the long run. Thus, using advanced information technology to improve administrative ability and developing analytical methods for health insurance data to aid managerial decisions and policy implementation are needed. Risk adjustment of health insurance represents an opportunity to improve efficiency and equity of the health system. This study is the first time to validate and evaluate one of the best known risk adjustment methods - the Johns Hopkins Adjusted Clinical Groups (ACG) Case-Mix System to China's health system based on large amounts of Chinese health insurance claims.

UDC Services

  • About
  • How to Deposit
  • Policies
  • Contact

Related Services

  • University Archives
  • U of M Web Archive
  • UMedia Archive
  • Copyright Services
  • Digital Library Services

Libraries

  • Hours
  • News & Events
  • Staff Directory
  • Subject Librarians
  • Vision, Mission, & Goals
University Libraries

© 2025 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer.
Policy statement | Acceptable Use of IT Resources | Report web accessibility issues