Recent References

General References

  • Cresswell K et al. Investigating and Learning Lessons from Early Experiences of Implementing ePrescribing Systems into NHS Hospitals: A Questionnaire Study. PLoS ONE 8(1): e53369.
  • Shekelle PG et al. The top patient safety strategies that can be encourage for adoption now. Ann Intern Med 2013; 158: 365-368.
  • Radley DC et al. Reduction in medication errors in hospitals due to adoption of computerized provider order entry systems. J Am Med Inform Assoc 2013. doi:10.1136/amiajnl-2012-001241. [Epub ahead of print]
  • Takian A and Cornford T. NHS information: Revolution or evolution? Health Policy and Technology 2012; 1: 193–198.
  • Cresswell K et al. Ten key considerations for the successful implementation and adoption of large-scale health information technology. J Am Med Inform Assoc 2013; 20(e1): e9-e13.
  • Leung AA et al. Relationship between medication event rates and the Leapfrog computerized physician order entry evaluation tool. J Am Med Inform Assoc 2013; 20(e1): e85-e90
  • Cousins D et al. A review of medication incidents reported to the National Reporting and Learning System in England and Wales over 6 years (2005–2010). BJCP 2012: 74(4) 597-604.
  • Lehnbom EC et al. Impact of medication reconciliation and review on clinical outcomes. Annals of Pharmacotherapy 2014; 48(10) 1298-1312.

Clinical Decision Support

  • Bright TJ et al. Effect of Clinical Decision-Support Systems: A Systematic Review. Ann Int Med 2012; 157(1): 29-43.
  • Phansalkar S et al. Drug–drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records. J Am Med Inform Assoc 2013;20:3 489-493.
  • Phansalkar S et al. High-priority drug–drug interactions for use in electronic health records. J Am Med Inform Assoc 2012; 19(5): 735-743
  • Thomas SK et al. Developing consensus on hospital prescribing indicators of potential harms amenable to decision support. Br J Clin Pharmacol 2013 Jan 31. doi: 10.1111/bcp.12087. [Epub ahead of print]
  • Mulherin DP et al. National standards for computerized prescriber order entry and clinical decision support: The case of drug interactions. Am J Health-Syst Pharm 2013; 70: 59-64.
  • Griffey RT et al. Guided medication dosing for elderly emergency patients using real-time, computerized decision support. J Am Med Inform Assoc 2012; 19(1): 86-93.

Implementation Issues

  • Abramson EL et al. Physician experiences transitioning between an older versus newer electronic health record for electronic prescribing. IJMI 2012; 81: 539-48.
  • Calloway S. Implementation of a Clinical Decision Support System. Hosp Pharm 2013; 48(3 Suppl 2): S10–S14.
  • Classen DC and Brown J. A Sociotechnical Model for Pharmacy. Hosp Pharm 2013; 48 (3 Suppl 2): S1–S5.
  • Cooley TW et al. Implementation of computerized prescriber order entry in four academic medical centers. Am J Health Syst Pharm 2012; 69: 2166-2173.
  • Amato MG et al. Computerized prescriber order entry-related patient safety reports: analysis of 2522 medication errors. J Am Med Inform Assoc 2016; doi: 10.1093/jamia/ocw125. [Epub ahead of print]
  • Schiff GD et al. Screening for medication errors using an outlier detection system. J Am Med Inform Assoc 2017; doi: 10.1093/jamia/ocw171. [Epub ahead of print]
  • Shemilt K et al. Inpatient prescribing systems used in NHS Acute Trusts across England: a managerial perspective. European Journal of Hospital Pharmacy 2016;
  • Hermann SA. Best-of-Breed versus integrated systems. Am J Health Syst Pharm 2010; 67(17)

System Optimisation

  • Siska MH. Technology and Automation in Hospital Pharmacies: Current and Future States. Hosp Pharm 2013; 48(3 Suppl 2): S6–S9

Unintended Consequences

  • Nanji, Karen C., et al. “Medication-related clinical decision support alert overrides in inpatients.” Journal of the American Medical Informatics Association (2017).
  • van der Veen, Willem, et al. “Association Between Workarounds and Medication Administration Errors in Bar Code-Assisted Medication Administration: Protocol of a Multicenter Study.” JMIR Research Protocols 6.4 (2017).
  • Westbrook JI et al. The safety of electronic prescribing: manifestations, mechanisms, and rates of system-related errors associated with two commercial systems in hospitals. J Am Med Inform Assoc. 2013 doi: 10.1136/amiajnl-2013-001745. [Epub ahead of print]
  • Villamañán E  et al. Potential medication errors associated with computer prescriber order entry. Int J Clin Pharm 2013 Apr 11.doi: 0.1007/s11096-013-9771-2.  [Epub ahead of print]
  • Allen AS, Sequist TD.  Pharmacy dispensing of electronically discontinued medications. Ann Intern Med. 2012; 157: 700-705.
  • Hundt AS et al. Conducting an efficient proactive risk assessment prior to CPOE implementation in an intensive care unit. Int J Med Inform. 2013; 82: 25-38.
  • Mozaffar H et al. Exploring the roots of unintended safety threats associated with the introduction of hospital ePrescribing systems and candidate avoidance and/or mitigation strategies: a qualitative study. BMJ Qual Saf. 2017; doi: 10.1136/bmjqs-2016-005879. [Epub ahead of print]

Meaningful Use

  • Marcotte et al. Achieving Meaningful Use of Health Information Technology: A Guide for Physicians to the EHR Incentive Programs. Arch Int Med 2012; 172(9): 731-6.

Paediatric ePMA

  • Lehmann CU et al. Electronic prescribing in pediatrics: toward safer and more effective medication management. Pediatrics 2013;131:824-826.
  • Stultz JS, Nahata MC. Computerized clinical decision support for medication prescribing and utilization in pediatrics. J Am Med Inform Assoc 2012; 19: 942-53.
  • Caldwell NA, Power B. The pros and cons of electronic prescribing for children. Arch Dis Child 2012; 97: 124-8.
  • Abramson EL, Kaushal R. Computerized provider order entry and patient safety. Pediatr Clin North Am 2012; 59: 1247-55.
  • Farrar K. Use of structured paediatric-prescribing screens to reduce the risk of medication errors in the care of children. The British Journal of Healthcare Computing & Information Management 2003; 20(4)

Health Economics / Return on Investment

  • Gilmer TP et al. Cost-Effectiveness of an Electronic Medical Record Based Clinical Decision Support System. Health Services Research 2012 Dec; 47(6) :2137-58.
  • O’Reilly D  et al. The economics of health information technology in medication management: a systematic review of economic evaluations. J Am Med Inform Assoc 2012 May-Jun;19(3):423-38.

Further References

NIHR Programme Grant for Applied Research, Principal Investigator: Professor Aziz Sheikh
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