Literature DB >> 3068326

An expert system for determining Medicaid eligibility.

A M Sear1.   

Abstract

The eligibility requirements for AFDC Medicaid are so extensive and complicated that most health care providers do not attempt to ascertain whether or not a particular patient is eligible for the program, even when no other source of payment is available. This results in lost revenue for health service providers nationwide amounting to hundreds of millions of dollars per year. Computer technology, in the form of expert systems, offers an opportunity to rationalize the Medicaid eligibility determination process and to do real-time assessments of patient eligibility. This article presents an expert system called MEDELEX (MEdicaid ELigibility EXpert) for determining Medicaid eligibility. The program (when run on an 8 MHz MS-DOS microcomputer with at least 640 KB of RAM) requires about 20 min for data entry and 5 sec for the actual eligibility determination. The expert system was written in Prolog and has been designed in such a way that it can be readily modified to take into account the state-to-state variability in eligibility requirements for AFDC Medicaid.

Entities:  

Mesh:

Year:  1988        PMID: 3068326     DOI: 10.1007/bf00996578

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  9 in total

1.  PC Software for Artificial Intelligence Applications.

Authors:  H Epp; M Kalin; D Miller
Journal:  Science       Date:  1988-05-06       Impact factor: 47.728

2.  The financial burden of medical care expenses for children.

Authors:  P W Newacheck; N Halfon
Journal:  Med Care       Date:  1986-12       Impact factor: 2.983

3.  Health care for the poor. A public-policy imperative.

Authors:  M E Whitcomb
Journal:  N Engl J Med       Date:  1986-11-06       Impact factor: 91.245

4.  Indigent care in rational markets.

Authors:  D B Sherlock
Journal:  Inquiry       Date:  1986       Impact factor: 1.730

5.  The role of state governments in assuring access to care.

Authors:  R Curtis
Journal:  Inquiry       Date:  1986       Impact factor: 1.730

6.  Medicaid's overload sparks a crisis.

Authors:  E Friedman
Journal:  Hospitals       Date:  1987-01-20

7.  Providers bear cost of poor payer information.

Authors:  T Shahoda
Journal:  Hospitals       Date:  1987-04-20

Review 8.  Decision analysis.

Authors:  S G Pauker; J P Kassirer
Journal:  N Engl J Med       Date:  1987-01-29       Impact factor: 91.245

9.  Artificial intelligence in medicine. Where do we stand?

Authors:  W B Schwartz; R S Patil; P Szolovits
Journal:  N Engl J Med       Date:  1987-03-12       Impact factor: 91.245

  9 in total
  6 in total

1.  Tutorial on technology transfer and survey design and data collection for measuring Internet and Intranet existence, usage, and impact (survey-2000) in acute care hospitals in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  2001-02       Impact factor: 4.460

Review 2.  Information technology in the future of health care.

Authors:  Myron Hatcher; Irene Heetebry
Journal:  J Med Syst       Date:  2004-12       Impact factor: 4.460

3.  Decision-making with and without information technology in acute care hospitals: survey in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1998-12       Impact factor: 4.460

Review 4.  Uniqueness of Group Decision Support Systems (GDSS) in medical and health applications.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1990-12       Impact factor: 4.460

5.  Survey of acute care hospitals in the United States relative to technology usage and technology transfer.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1997-10       Impact factor: 4.460

Review 6.  Voting and priorities in health care decision making, portrayed through a group decision support system, using analytic hierarchy process.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1994-10       Impact factor: 4.460

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.