Skip to main content
SpringerLink
Log in

Prospective EHR-Based Clinical Trials: The Challenge of Missing Data

  • Editorial
  • Published:
Journal of General Internal Medicine Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

REFERENCES

  1. Gopalan A, Tahirovic E, Moss H, et al. Translating the hemoglobin A1C with more easily understood feedback: A Randomized Controlled Trial. J Gen Intern Med. 2014 doi:10.1007/s11606-014-2810-4.

  2. Health Information Technology for Economic and Clinical Health (HITECH) Act, Title XIII of Division A and Title IV of Division B of the American Recovery and Reinvestment Act of 2009 (ARRA) Feb 17 2009.

  3. Hsiao C, Hing E. Use and characteristics of Electronic Health Record systems among office-based physician practices: United States, 2001–2013. Centers for Disease Control and Prevention. 2014. http://www.cdc.gov/nchs/data/databriefs/db143.pdf. Accessed Jan 20, 2014.

  4. Little RJ, D’Agostino R, Cohen ML, et al. The prevention and treatment of missing data in clinical trials. New Engl J Med. 2012;367(14):1355–1360.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  5. Coombs CH. A Theory of Data. New York: John Wiley and Sons; 1964.

    Google Scholar 

  6. Ash JS, Berg M, Coiera E. Some unintended consequences of information technology in health care: The nature of patient care information system-related errors. J Am Med Informat Assoc. 2004;11:104–112.

    Article  Google Scholar 

  7. Wahls TL, Cram PM. The frequency of missed test results and associated treatment delays in a highly computerized health system. BMC Fam Pract. 2007;8(32):1–8.

    Google Scholar 

  8. Smith PC, Araya-Guerra R, Bublitz C, et al. Missing clinical information during primary care visits. JAMA. 2005;293(5):565–571.

    Article  CAS  PubMed  Google Scholar 

  9. Köpcke1 F, Trinczek B, Majeed RW, et al. Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: A retrospective analysis of element presence. BMC Med Informat Decis Making. 2013;13(37).

  10. Goulet JL, Erdos J, Kancir S, et al. Measuring performance directly using the Veterans Health Administration electronic medical record: A comparison with external peer review. Medical Care. 2007;45(1):73–79.

    Article  PubMed Central  PubMed  Google Scholar 

  11. Albu J, Sohler N, Matti-Orozco B, et al. Expansion of electronic health record-based screening, prevention, and management of diabetes in New York city. Preventable Chronic Diseases. 2013;10(E13).

Download references

Author information

Authors and Affiliations

  1. Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, 615 North Wolfe Street, Baltimore, MD, 21205, USA

    Hadi Kharrazi MHI, MD, PhD

  2. Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, 21205, USA

    Chenguang Wang PhD

  3. Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA

    Daniel Scharfstein ScD

Authors
  1. Hadi Kharrazi MHI, MD, PhD
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chenguang Wang PhD
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Daniel Scharfstein ScD
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Daniel Scharfstein ScD.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kharrazi, H., Wang, C. & Scharfstein, D. Prospective EHR-Based Clinical Trials: The Challenge of Missing Data. J GEN INTERN MED 29, 976–978 (2014). https://doi.org/10.1007/s11606-014-2883-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-014-2883-0

Keywords

Search

Navigation