Literature DB >> 23462876

Using electronic health records to save money.

Yosefa Bar-Dayan1, Halil Saed, Mona Boaz, Yehudith Misch, Talia Shahar, Ilan Husiascky, Oren Blumenfeld.   

Abstract

OBJECTIVES: Health information technology, especially electronic health records (EHRs), can be used to improve the efficiency and effectiveness of healthcare providers. This study assessed the cost-savings of incorporating a list of preferred specialty care providers into the EHRs used by all primary care physicians (PCPs), accompanied by a comprehensive implementation plan.
METHODS: On January 1, 2005, all specialty clinic providers at the Israeli Defense Forces were divided into one of four financial classes based on their charges, class 1, the least expensive, being the most preferred, followed by classes 2-4. This list was incorporated into the EHRs used by all PCPs in primary care clinics. PCPs received comprehensive training. Target referral goals were determined for each class and measured for 4 years, together with the total cost of all specialist visits in the first year compared to the following years. Quality assessment (QA) scores were used as a measure of the program's effect on the quality of patient care.
RESULTS: During 2005-2008, a marginally significant decline in referrals to class 1 was observed (r=-0.254, p=0.078), however a significant increase in referral rates to class 2 was observed (r=0.957, p=0.042), concurrent with a decrease in referral rates to classes 3 and 4 (r=-0.312, p=0.024). An inverse correlation was observed between year and total costs for all visits to specialists (2008 prices; r=-0.96, p=0.04), and between the mean cost of one specialist visit over the 4 years, indicating a significant reduction in real costs (2008 prices; r=-0.995, p=0.005). QA was not affected by these changes (r=0.94, p=0.016).
CONCLUSIONS: From a policy perspective, our data suggest that EHR can facilitate effective utilization of healthcare providers and decrease costs.

Entities:  

Keywords:  Health information technology; cost-containment; electronic health record; healthcare; primary care physician; return on investment

Mesh:

Year:  2013        PMID: 23462876      PMCID: PMC3715342          DOI: 10.1136/amiajnl-2012-001504

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  26 in total

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6.  Use of electronic health records in U.S. hospitals.

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8.  A cost-benefit analysis of electronic medical records in primary care.

Authors:  Samuel J Wang; Blackford Middleton; Lisa A Prosser; Christiana G Bardon; Cynthia D Spurr; Patricia J Carchidi; Anne F Kittler; Robert C Goldszer; David G Fairchild; Andrew J Sussman; Gilad J Kuperman; David W Bates
Journal:  Am J Med       Date:  2003-04-01       Impact factor: 4.965

9.  Quality assessment program in primary care clinics: a tool for quality improvement.

Authors:  Dror Mandel; Howard Amital; Eyal Zimlichman; Robert Wartenfeld; Lilach Benyamini; Tzippora Shochat; Francis B Mimouni; Yitshak Kreiss
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10.  Modeling return on investment for an electronic medical record system in Lilongwe, Malawi.

Authors:  Julia Driessen; Marco Cioffi; Noor Alide; Zach Landis-Lewis; Gervase Gamadzi; Oliver Jintha Gadabu; Gerald Douglas
Journal:  J Am Med Inform Assoc       Date:  2012-11-09       Impact factor: 4.497

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  8 in total

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Journal:  J Am Board Fam Med       Date:  2015 Sep-Oct       Impact factor: 2.657

4.  Evaluation Study for an ISO 13606 Archetype Based Medical Data Visualization Method.

Authors:  Georgy Kopanitsa
Journal:  J Med Syst       Date:  2015-07-10       Impact factor: 4.460

5.  Cost-Effectiveness Evaluation of EHR: Simulation of an Abdominal Aortic Aneurysm in the Emergency Department.

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6.  Electronic Medical Records in Greece and Oman: A Professional's Evaluation of Structure and Value.

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Journal:  Int J Environ Res Public Health       Date:  2018-06-01       Impact factor: 3.390

Review 7.  The role of medical data in efficient patient care delivery: a review.

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Journal:  Risk Manag Healthc Policy       Date:  2019-04-24

8.  Clinical and Para Clinical Information Needs of Infertility Electronic Health Records in Iran: A Delphi Study.

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  8 in total

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