Data Support for Electronic Medicines Management

  • Stephen Goundrey-Smith
Part of the Health Informatics book series (HI)


It is clear from the operational requirements of EP systems that these systems require high quality data inputs from a number of sources. The supporting data for EP systems and other medication management systems fall into four main categories:


Total Parenteral Nutrition British National Formulary Read Code Software Vendor Medicine Information 
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.


  1. 1.
    Coiera E. Guide to health informatics. 2nd ed. London: Arnold; 2003. p. 202–22.Google Scholar
  2. 2.
    Ustun TB. Presented at Australian Health & Welfare Institute Meeting, Towards ICD 11 for Australia, University of Sydney. 2011.
  3. 3.
    Pheby DF, Etherington DJ. Improving the comparability of cancer registry treatment data and proposals for a new national minimum dataset. J Public Health Med. 1994;16:331–40.PubMedGoogle Scholar
  4. 4.
    National Cancer Intelligence Network. Cancer outcomes and services dataset. 2011. Accessed in November 2011.
  5. 5.
    NHS Connecting for Health. Electronic prescribing in hospitals: challenges & lessons learnt. 2009. p. 74. Accessed in November 2011.
  6. 6.
    Kabachinski J. What is health level 7? Biomed Instrum Technol. 2006;40:375–9.PubMedCrossRefGoogle Scholar
  7. 7.
    Ryan A, Eklund P, et al. Toward the intraoperability of HL7v3 and SNOMED CT: a case study modelling mobile clinical treatment. Med Info. 2007;12:626–30.Google Scholar
  8. 8.
    Frosdick P, Dalton C. What is the dm  +  d and what will it mean for you and pharmacy practice? Pharm J. 2004;273:199–200.Google Scholar
  9. 9.
    Voss J. Launch of the X-factor for the visually impaired: the X-PIL. PIPA J. 2006;5:4–6.Google Scholar
  10. 10.
    Miller RA. Clinical decision support and electronic prescribing systems: a time for responsible thought and action. J Am Inform Assoc. 2005;12:403–9.CrossRefGoogle Scholar
  11. 11.
    Barker A, Kay J. Electronic prescribing improves patient safety – an audit. Hosp Pharm. 2007;14:225.Google Scholar
  12. 12.
    Gray S, Smith J. Practice report – electronic prescribing in Bristol. Healthc Pharm. August 2004:20–2.Google Scholar
  13. 13.
    Anon. Changes of drug names from BANs to rINNs. Pharm J. 2002;272:364.Google Scholar
  14. 14.
    Anon. Dose syntax. 2011. Accessed in November 2011.
  15. 15.
    Hammond WE. The role of standards in electronic prescribing. Health Aff (Millwood). 2004;Web exclusive:W4-325-7.Google Scholar
  16. 16.
    Bates DW, et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc. 2003;10:523–30.PubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2012

Authors and Affiliations

  • Stephen Goundrey-Smith
    • 1
  1. 1.Cert Clin Pharm, MRPharmSSGS PharmaSolutionsChedworthUK

Personalised recommendations