Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2015 Mar;11(3):329-37.
doi: 10.1586/1744666X.2015.1009895. Epub 2015 Feb 8.

Intelligent use and clinical benefits of electronic health records in rheumatoid arthritis

Affiliations
Review

Intelligent use and clinical benefits of electronic health records in rheumatoid arthritis

Robert J Carroll et al. Expert Rev Clin Immunol. 2015 Mar.

Abstract

In the past 10 years, electronic health records (EHRs) have had growing impact in clinical care. EHRs efficiently capture and reuse clinical information, which can directly benefit patient care by guiding treatments and providing effective reminders for best practices. The increased adoption has also lead to more complex implementations, including robust, disease-specific tools, such as for rheumatoid arthritis (RA). In addition, the data collected through normal clinical care is also used in secondary research, helping to refine patient treatment for the future. Although few studies have directly demonstrated benefits for direct clinical care of RA, the opposite is true for EHR-based research - RA has been a particularly fertile ground for clinical and genomic research that have leveraged typically advanced informatics methods to accurately define RA populations. We discuss the clinical impact of EHRs in RA treatment and their impact on secondary research, and provide recommendations for improved utility in future EHR installations.

Keywords: clinical decision support systems; electronic health records; genomics; pharmacogenetics; rheumatoid arthritis.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Odds ratios and 95% CIs compared between a traditional GWAS meta-analysis and an EHR-derived cohort. The EHR cohort is comprised of European, ACPA+ individuals. Reprinted with permission from Elsevier [,73]. ACPA: anti-citrullinated protein antibodies; EHR: Electronic health records; GWAS: Genome-wide association study.

References

    1. Greenes RA, Pappalardo AN, Marble CW, Barnett GO. Design and implementation of a clinical data management system. Comput. Biomed. Res. 1969;2(5):469–485. - PubMed
    1. McDonald CJ. Protocol-Based Computer Reminders, the Quality of Care and the Non-Perfectibility of Man. N. Engl. J. Med. 1976;295(24):1351–1355. - PubMed
    1. Shortliffe EH, Buchanan BG. A model of inexact reasoning in medicine. Math. Biosci. 1975;23(3–4):351–379.
    1. Nuckols TK, Smith-Spangler C, Morton SC, et al. The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis. Syst. Rev. 2014;3(1):56. - PMC - PubMed
    2. *Reviews the impact of EHRs on preventable ADEs and medication errors.

    1. King J, Patel V, Jamoom EW, Furukawa MF. Clinical benefits of electronic health record use: national findings. Health Serv. Res. 2014;49(1 Pt 2):392–404. - PMC - PubMed

Publication types