Literature DB >> 25006156

No evidence found that hospitals are using new electronic health records to increase Medicare reimbursements.

Julia Adler-Milstein1, Ashish K Jha2.   

Abstract

The recent uptick in hospital adoption of electronic health records (EHRs) has been accompanied by growing concerns among some policy makers that hospitals may use these systems to select billing codes that reflect more intensive care or a sicker patient population in order to generate more revenue through higher reimbursements. Such "upcoding" would increase overall health care spending. We used national data to examine whether new adoption of EHRs was associated with increases in coded patient acuity or Medicare payments. We found that hospitals that adopted EHRs increased billing to Medicare, but at a rate comparable to that of matched controls of non-EHR adopters. In our difference-in-differences models, patient acuity and payment per discharge were essentially the same between adopters and nonadopters. We also failed to find a relationship between adoption and either patient acuity or payment within groups of hospitals that may be more likely to use EHRs to increase coding and revenue, such as for-profit hospitals and those in highly competitive markets. Thus, we found no empirical evidence to suggest that hospitals are systematically using EHRs to increase reimbursement. Our findings should reduce concerns that EHR adoption by itself will increase the costs of hospital care. Project HOPE—The People-to-People Health Foundation, Inc.

Entities:  

Keywords:  Cost of Health Care; Hospitals; Information Technology; Medicare

Mesh:

Year:  2014        PMID: 25006156     DOI: 10.1377/hlthaff.2014.0023

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  10 in total

1.  Performance-based outcomes of inpatient rehabilitation facilities treating hip fracture patients in the United States.

Authors:  Michael P Cary; Marianne Baernholdt; Ruth A Anderson; Elizabeth I Merwin
Journal:  Arch Phys Med Rehabil       Date:  2015-01-13       Impact factor: 3.966

2.  Hospital adoption of electronic health record functions to support age-friendly care: results from a national survey.

Authors:  Julia Adler-Milstein; Katherine Raphael; Alice Bonner; Leslie Pelton; Terry Fulmer
Journal:  J Am Med Inform Assoc       Date:  2020-08-01       Impact factor: 4.497

3.  Association between Health Information Technology and Case Mix Index.

Authors:  Young-Taek Park; Junsang Lee; Jinhyung Lee
Journal:  Healthc Inform Res       Date:  2017-10-31

4.  Improved efficiency of coding systems with health information technology.

Authors:  Jinhyung Lee; Jae-Young Choi
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

5.  Public preferences for electronic health data storage, access, and sharing - evidence from a pan-European survey.

Authors:  Sunil Patil; Hui Lu; Catherine L Saunders; Dimitris Potoglou; Neil Robinson
Journal:  J Am Med Inform Assoc       Date:  2016-04-23       Impact factor: 4.497

6.  Smart Pump-Electronic Health Record (EHR) Interoperability with Auto-Documentation is Associated with Increased Submission of Infusion-Therapy Billing Claims at a Community Hospital.

Authors:  Tina M Suess; John W Beard; Michael Ripchinski; Matthew Eberts; Kevin Patrick; Leo J P Tharappel
Journal:  Pharmacoecon Open       Date:  2019-12

7.  Facility and resident characteristics associated with variation in nursing home transfers: evidence from the OPTIMISTIC demonstration project.

Authors:  Justin Blackburn; Casey P Balio; Jennifer L Carnahan; Nicole R Fowler; Susan E Hickman; Greg A Sachs; Wanzhu Tu; Kathleen T Unroe
Journal:  BMC Health Serv Res       Date:  2021-05-24       Impact factor: 2.655

8.  Are trends in billing for high-intensity emergency care explained by changes in services provided in the emergency department? An observational study among US Medicare beneficiaries.

Authors:  Laura G Burke; Robert C Wild; E John Orav; Renee Y Hsia
Journal:  BMJ Open       Date:  2018-01-30       Impact factor: 2.692

9.  Association Between Medicare Policy Reforms and Changes in Hospitalized Medicare Beneficiaries' Severity of Illness.

Authors:  Devraj Sukul; Geoffrey J Hoffman; Ushapoorna Nuliyalu; Julia R Adler-Milstein; Bill Zhang; Justin B Dimick; Andrew M Ryan
Journal:  JAMA Netw Open       Date:  2019-05-03

10.  Birth and death notification via mobile devices: a mixed methods systematic review.

Authors:  Lavanya Vasudevan; Claire Glenton; Nicholas Henschke; Nicola Maayan; John Eyers; Marita S Fønhus; Tigest Tamrat; Garrett L Mehl; Simon Lewin
Journal:  Cochrane Database Syst Rev       Date:  2021-07-16
  10 in total

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