Managing Pediatric Knowledge Resources in Practice

  • Prudence W. Dalrymple
  • Bernard A. Cohen
  • John S. Clark
Part of the Health Informatics book series (HI)


Information and communication technology (ICT) provides busy clinicians with access to timely health information: e-mail updates, online educational programs, podcasts etc. to the point of overload. The abundance of information has increased user expectations about the availability of timely and useful medical information, but has perhaps reduced user objectivity in distinguishing evidence from opinion and advertisement as messages from different sources: professional associations, patient groups, pharmaceutical companies, news agencies and policymakers are all cast along the same channels in similar formats.

An ongoing problem for working clinicians is how to manage available information resources to provide the best care for patients while staying informed and current without becoming overwhelmed. Beyond the technical aspects of how to approach this problem (how to choose and use tools and resources) are considerations of which resources are free and which should be purchased (or leased).


Patient Education Material Patient Information Sheet Health Information Management System Institutional Subscription General Medical Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Johns RJ, Fortuin NJ. Clinical information and clinical problem solving. In: Harvey AM, Johns RJ, McKusick VA, Owens AH, Ross RS, eds. The Principles and Practice of Medicine. 22nd ed. Norwalk, CT: Appleton & Lange; 1998:1–4.Google Scholar
  2. 2.
    Forsythe DE, Buchanan BG, Osheroff JA, Miller RA. Expanding the concept of medical information: an observational study of physicians' information needs. Comput Biomed Res. 1992;25(2):181–200.PubMedCrossRefGoogle Scholar
  3. 3.
    Tribal knowledge. SixSigma; 2008. Available at: Accessed December 17, 2007.
  4. 4.
    Zipf GK. Human Behavior and the Principle of Least Effort; an Introduction to Human Ecology. Cambridge, MA: Addison-Wesley; 1949:8–18.Google Scholar
  5. 5.
    Ely JW, Osheroff JA, Ebell MH, et al. Analysis of questions asked by family doctors regarding patient care. BMJ. 1999;319(7206):358–361.PubMedGoogle Scholar
  6. 6.
    Gorman PN, Helfand M. Information seeking in primary care: how physicians choose which clinical questions to pursue and which to leave unanswered. Med Decis Making. 1995;15(2):113–119.PubMedCrossRefGoogle Scholar
  7. 7.
    Westbrook JI, Gosling AS, Coiera E. Do clinicians use online evidence to support patient care? A study of 55,000 clinicians. J Am Med Inform Assoc. 2004;11(2):113–120.PubMedCrossRefGoogle Scholar
  8. 8.
    Cimino JJ, Li J, Bakken S, Patel VL. Theoretical, empirical and practical approaches to resolving the unmet information needs of clinical information system users. Proc AMIA Symp. 2002: 170–174.Google Scholar
  9. 9.
    Thompson WR, Hayek CS, Tuchinda C., Telford JK, Lombardo JS. Use of automated cardiac auscultation for detection of pathologic heart murmurs in children and young adults. Pediatr Cardiol. 2001;22:373–379.PubMedGoogle Scholar
  10. 10.
    Ramnarayan P, Roberts GC, Coren M, et al. Assessment of the potential impact of a reminder system on the reduction of diagnostic errors: a quasi-experimental study. BMC Med Inform Decis Making. 2006;6:22.CrossRefGoogle Scholar
  11. 11.
    Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine. From Proceedings of the seventh international conference on World Wide Web. 1998;7:107–117.Google Scholar
  12. 12.
    Andrews LB et al. Assessing Genetic Risks: Implications for Health and Social Policy. Institute of Medicine. Washington, DC: National Academy Press; 1994.Google Scholar
  13. 13.
    Knollmann BC, Smyth BJ, Garnett CE, et al. Personal digital assistant-based drug reference software as tools to improve rational prescribing: benchmark criteria and performance. Clin Pharmacol Ther. 2005;78(1):7–18.PubMedCrossRefGoogle Scholar
  14. 14.
    Galt KA, Rule AM, Houghton B, Young DO, Remington G. Personal digital assistant-based drug information sources: potential to improve medication safety. J Med Libr Assoc. 2005;93(2):229–236.PubMedGoogle Scholar
  15. 15.
    Mehta SA. What can physicians learn from the blogs of patients with uveitis? Ocul Immunol Inflamm. 2007;15(6):421–423.PubMedCrossRefGoogle Scholar
  16. 16.
    Tang H, Ng JH. Googling for a diagnosis—use of Google as a diagnostic aid:internet based study. BMJ. 2006;333(7579):1143–1145.PubMedCrossRefGoogle Scholar
  17. 17.
    Twisselmann B. Use of Google as a diagnostic aid: summary of other responses. BMJ. 2006;333(7581):1270–1271.PubMedCrossRefGoogle Scholar
  18. 18.
    Freifeld CC, Mandl KD, Reis BY, Brownstein JS. HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports. J Am Med Inform Assoc. 2008;15(2):150–157.PubMedCrossRefGoogle Scholar
  19. 19.
    Children's Hospital Informatics Program. Healthmap. Harvard-MIT Division of Health Sciences & Technology; 2008. Available at: Accessed January 2, 2008.

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Prudence W. Dalrymple
    • 1
  • Bernard A. Cohen
    • 2
  • John S. Clark
    • 3
  1. 1.Institute for Healthcare Informatics, The iSchool at Drexel, College of Information Science & TechnologyDrexel UniversityPhiladephia
  2. 2.Pediatric DermatologyThe Johns Hopkins Children's CenterBaltimore
  3. 3.Assistant Clinical ProfessorUniversity of Michigan College of PharmacyAnn Arbor

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