Literature DB >> 15576707

Designing information technology to support prescribing decision making.

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Abstract

The use of computerised prescribing and decision support to reduce medication error is a common element of medication safety policy. This paper discusses the sort of characteristics that a decision support system should have. The system should slot into a wider vision of good prescribing, not conflict with it, and should be based on our understanding of the causes of error. As yet there is little evidence that decision support is effective in changing patient outcome, and the evaluation in this field is of limited quality and generalisability. It is proposed that software design should target high risk patients and drugs, trap dosing errors, have standardised methods of production and evaluation, be congruent with good prescribing, focus on the tasks that computers do well, individualise treatment, and ensure that prescribers enjoy using the final product.

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Year:  2004        PMID: 15576707      PMCID: PMC1743915          DOI: 10.1136/qhc.13.6.450

Source DB:  PubMed          Journal:  Qual Saf Health Care        ISSN: 1475-3898


  4 in total

1.  Pharmacists' interventions in prescribing errors at hospital discharge: an observational study in the context of an electronic prescribing system in a UK teaching hospital.

Authors:  Derar H Abdel-Qader; Lindsay Harper; Judith A Cantrill; Mary P Tully
Journal:  Drug Saf       Date:  2010-11-01       Impact factor: 5.606

2.  Overriding of drug safety alerts in computerized physician order entry.

Authors:  Heleen van der Sijs; Jos Aarts; Arnold Vulto; Marc Berg
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

3.  Improving specialist drug prescribing in primary care using task and error analysis: an observational study.

Authors:  Narinder Chana; Talya Porat; Cate Whittlesea; Brendan Delaney
Journal:  Br J Gen Pract       Date:  2017-02-13       Impact factor: 5.386

4.  Turning off frequently overridden drug alerts: limited opportunities for doing it safely.

Authors:  Heleen van der Sijs; Jos Aarts; Teun van Gelder; Marc Berg; Arnold Vulto
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

  4 in total

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