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Decision support for sensible dosing in electronic prescribing systems

Coleman, J.J., Nwulu, Ugochi, Ferner, R.E. (2012) Decision support for sensible dosing in electronic prescribing systems. Journal of Clinical Pharmacy and Therapeutics, 37 (4). pp. 415-419. ISSN 0269-4727. (doi:10.1111/j.1365-2710.2011.01310.x) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1111/j.1365-2710.2011.01310.x

Abstract

What is known and Objective:? The sensible dosing of medicines can ensure that patients receive neither excessive doses leading to toxicity nor inappropriately low doses leading to undertreatment. Computerized prescribing systems with embedded decision support can check doses during prescription order entry and display alerts when the prescribed doses are out of range. We have been unable to identify any scheme for the systematic addition of dosing information to CPOE systems. We used pharmacological data to design an algorithm for dose range checking that we tested on a subset of medicines in an electronic prescribing system to ensure that the rules could be implemented in practice. Methods:? We drafted an initial algorithm based on pharmacological principles, tested it on a subset of frequently prescribed drugs in an electronic prescribing system and then refined it. We considered which clinical decision support functions systems would require to be maximally effective. Results and Discussion:? The final algorithm contained eleven broad factors. We tested it on 30 drug-route-form combinations, and it accommodated the information for all of these combinations. We also identified a variety of system functions that would be required for comprehensive dosing decision support. What is new and Conclusion:? The dose range checking algorithm that we have derived from first principles will allow the clinical workflow and warnings to be constructed more effectively within systems to enhance patient safety. This will form a basis for the development of optimal schemes for adding decision support to prescribing systems.

Item Type: Article
DOI/Identification number: 10.1111/j.1365-2710.2011.01310.x
Uncontrolled keywords: computerized decision support;dose range;prescribing
Subjects: R Medicine > RS Pharmacy and materia medica
Divisions: Faculties > Social Sciences > School of Social Policy Sociology and Social Research > Centre for Health Services Studies
Depositing User: Tony Rees
Date Deposited: 12 May 2015 14:12 UTC
Last Modified: 29 May 2019 14:32 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48381 (The current URI for this page, for reference purposes)
Nwulu, Ugochi: https://orcid.org/0000-0001-6372-176X
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