Skip to main content

Prioritizing Pediatric Investment for IT in Smaller Practices

  • Chapter
Pediatric Informatics

Part of the book series: Health Informatics ((HI))

  • 877 Accesses

Abstract

Small practices are the least likely to adopt electronic health records.1–4 Practical business decisions determine the choices that office-based physicians make in prioritizing information technologies purchases. Beyond basic clinical and clerical tools (stethoscope, typewriter, telephone, or fax), practices need to consider customer and market expectations, business efficiency, and regulatory issues to choose IT applications that impact on the quality of practice services and the bottom line.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Simonian M. The electronic medical record. Pediatr Rev. 2007;28(10):e69–76.

    Article  Google Scholar 

  2. Simon SR, Kaushal R, Cleary PD, et al. Correlates of electronic health record adoption in office practices: a statewide survey. J Am Med Inform Assoc. 2007;14(1):110–117.

    Article  PubMed  Google Scholar 

  3. Simon SR, McCarthy ML, Kaushal R, et al. Electronic health records: which practices have them, and how are clinicians using them? J Eval Clin Pract. 2008;14(1):43–47.

    PubMed  Google Scholar 

  4. Gans D, Kralewski J, Hammons T, Dowd B. Medical groups' adoption of electronic health records and information systems. Health Aff (Millwood). 2005;24(5):1323–1333.

    Article  Google Scholar 

  5. Morrison G. Mortgaging our future—the cost of medical education. N Engl J Med. 2005;352(2):117–119.

    Article  PubMed  CAS  Google Scholar 

  6. Chismar WG, Wiley-Patton S. Does the Extended Technology Acceptance Model Apply to Physicians. Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS′03); 2003. Available at: http://www.hicss.hawaii.edu/HICSS36/HICSSpapers/ HCDMG04.pdf. Accessed December 21, 2008.

  7. Adler KG. Why it's time to purchase an electronic health record system. Fam Pract Manage. 2004;11(10):43–46.

    Google Scholar 

  8. Stausberg J, Koch D, Ingenerf J, Betzler M. Comparing paper-based with electronic patient records: lessons learned during a study on diagnosis and procedure codes. J Am Med Inform Assoc. 2003;10(5):470–477.

    Article  PubMed  Google Scholar 

  9. Perreault L, Metzger J. A pragmatic framework for understanding clinical decision support. J Healthcare Inf Manage. 1999;13(2):5–21.

    Google Scholar 

  10. Sectish TC, Floriani V, Badat MC, Perelman R, Bernstein HH. Continuous professional development: raising the bar for pediatricians. Pediatrics. 2002;110(1 Pt 1):152–156.

    Article  PubMed  Google Scholar 

  11. Valancy J. How much will that EMR system really cost? Fam Pract Manage. 2002;9(4):57–58. Available at: http://www.aafp.org/fpm/20020400/57howm.html. Accessed December 21, 2008.

    Google Scholar 

  12. Bush J. The Internet as cure for inefficient office business processes. Med Group Manage J. 2000;suppl:10–13.

    Google Scholar 

  13. Agency for Healthcare Research and Quality. Technology Assessments; 2008. Available at: http://www.ahrq.gov/clinic/techix.htm. Accessed December 21, 2008.

  14. Strahan M. Seven years until electronic health records: the negative effects of the new Stark exceptions and anti-kickback safe harbors. J Health Law. 2007;40(2):291–303.

    PubMed  Google Scholar 

  15. Wang SJ, Middleton B, Prosser LA, et al. A cost-benefit analysis of electronic medical records in primary care. Am J Med. 2003;114(5):397–403.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Simonian, M.M. (2009). Prioritizing Pediatric Investment for IT in Smaller Practices. In: Lehmann, C.U., Kim, G.R., Johnson, K.B. (eds) Pediatric Informatics. Health Informatics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-76446-7_16

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-76446-7_16

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-76445-0

  • Online ISBN: 978-0-387-76446-7

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics