Literature DB >> 12182203

Regional variation in medical systems data: influences on upcoding.

Daniel P Lorence1, Amanda Spink.   

Abstract

Attempts to minimize over-reimbursement to health care providers have resulted in highly publicized prosecution of health care providers and provider organizations. Such prosecution has led many to propose that upcoding influences exerted upon health care information managers would largely disappear, both within and external to the provider organization. This study seeks to examine the degree of both intra- and extraorganizational influences on reimbursement optimizing practices through a national survey of accredited health information managers. Results suggest that significant upcoding influence continues to occur within organizations, despite the risk of severe counterfraud penalties designed to eliminate such practices. We examine variation in intra- and extraorganizational optimizing influences, finding such influence was found to exist both within and external to the provider organization. We also examine how optimization influences vary across demographic, practice setting, and market characteristics. We find significant variation in influence across practice settings and managed care markets. Ramifications for reimbursement assessment are discussed.

Mesh:

Year:  2002        PMID: 12182203     DOI: 10.1023/a:1016405214914

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


  3 in total

1.  Institutional and economic influences on the adoption and extensiveness of managerial innovation in hospitals: The case of reengineering.

Authors:  S L Walston; J R Kimberly; L R Burns
Journal:  Med Care Res Rev       Date:  2001-06       Impact factor: 3.929

2.  Measuring and managing risk improves strategic financial planning.

Authors:  D N Kleinmuntz; C E Kleinmuntz; R G Stephen; D S Nordlund
Journal:  Healthc Financ Manage       Date:  1999-06

3.  Do market-level hospital and physician resources affect small area variation in hospital use?

Authors:  J A Alexander; S Y Lee; J R Griffith; S S Mick; X Lin; J Banaszak-Holl
Journal:  Med Care Res Rev       Date:  1999-03       Impact factor: 3.929

  3 in total
  5 in total

1.  Measuring disparities in information capture timeliness across healthcare settings: effects on data quality.

Authors:  Daniel Lorence
Journal:  J Med Syst       Date:  2003-10       Impact factor: 4.460

2.  Regional variation in medical classification agreement: benchmarking the coding gap.

Authors:  Daniel Lorence
Journal:  J Med Syst       Date:  2003-10       Impact factor: 4.460

3.  Healthcare fraud and abuse.

Authors:  William J Rudman; John S Eberhardt; William Pierce; Susan Hart-Hester
Journal:  Perspect Health Inf Manag       Date:  2009-09-16

4.  DRG coding practice: a nationwide hospital survey in Thailand.

Authors:  Krit Pongpirul; Damian G Walker; Hafizur Rahman; Courtland Robinson
Journal:  BMC Health Serv Res       Date:  2011-10-31       Impact factor: 2.655

5.  Physician code creep: evidence in Medicaid and State Employee Health Insurance billing.

Authors:  Eric E Seiber
Journal:  Health Care Financ Rev       Date:  2007
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.