Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Sep;76 Suppl 1(Suppl 1):14-24.
doi: 10.1111/bcp.12190.

Medication safety and knowledge-based functions: a stepwise approach against information overload

Affiliations

Medication safety and knowledge-based functions: a stepwise approach against information overload

Andrius Patapovas et al. Br J Clin Pharmacol. 2013 Sep.

Abstract

Aims: The aim was to improve medication safety in an emergency department (ED) by enhancing the integration and presentation of safety information for drug therapy.

Methods: Based on an evaluation of safety of drug therapy issues in the ED and a review of computer-assisted intervention technologies we redesigned an electronic case sheet and implemented computer-assisted interventions into the routine work flow. We devised a four step system of alerts, and facilitated access to different levels of drug information. System use was analyzed over a period of 6 months. In addition, physicians answered a survey based on the technology acceptance model TAM2.

Results: The new application was implemented in an informal manner to avoid work flow disruption. Log files demonstrated that step I, 'valid indication' was utilized for 3% of the recorded drugs and step II 'tooltip for well-known drug risks' for 48% of the drugs. In the questionnaire, the computer-assisted interventions were rated better than previous paper based measures (checklists, posters) with regard to usefulness, support of work and information quality.

Conclusion: A stepwise assisting intervention received positive user acceptance. Some intervention steps have been seldom used, others quite often. We think that we were able to avoid over-alerting and work flow intrusion in a critical ED environment.

Keywords: computerized; decision support systems; electronic prescribing; medical records system; medication safety; medication therapy management; technology acceptance model.

PubMed Disclaimer

Figures

Figure 1
Figure 1
The new Orbis electronic case sheet is based on the 4SDRI principle . Seven drugs have been entered. Step I: Tick boxes indicating whether or not the current indication of the drug is known. Step II: A tooltip information appears for drugs previously associated with problems in the ED. Step III: ‘MedikationsCheck’ button invokes CDSS (OntoDrug®) and transfers patient drugs, diagnoses, age, gender and creatinine value. New pop-up window displays contraindications, warnings and interactions, here metformin is contraindicated with diagnosis of chronic renal insufficiency. Step IV: warning extract is linked to SPC in Pharmindex Plus® and activated by clicking on highlighted link. The risk situation found in step III is immediately highlighted. Targeted drug information is displayed
Figure 2
Figure 2
Frequencies of cases and electronic case sheets plus means of usage of four steps approach per calendar week. formula image, cases; formula image, electronic case sheets; formula image, electronic case sheets with ≥drug; formula image, drugs/electronic case sheet (mean); formula image, indications confirmed/drug (mean); formula image, tooltips/drug (mean)
Figure 3
Figure 3
Frequency of medication safety measure usage in daily routine, n = 9 emergency physicians. formula image, no answer; formula image, use several times per day; formula image, use once a day; formula image, use weekly; formula image, use monthly; formula image, don't use at all
Figure 4
Figure 4
The 4SDRI model and the five rights principle by Sirajuddin et al. [22]

Similar articles

Cited by

References

    1. Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA. 1998;279:1200–1205. - PubMed
    1. Pirmohamed M, James S, Meakin S, Green C, Scott AK, Walley TJ, Farrar K, Park BK, Breckenridge AM. Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients. BMJ. 2004;329:15–19. - PMC - PubMed
    1. Winterstein AG, Sauer BC, Hepler CD, Poole C. Preventable drug-related hospital admissions. Ann Pharmacother. 2002;36:1238–1248. - PubMed
    1. Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med. 2003;163:1409–1416. - PubMed
    1. Roberts LL, Ward MM, Brokel JM, Wakefield DS, Crandall DK, Conlon P. Impact of health information technology on detection of potential adverse drug events at the ordering stage. Am J Health Syst Pharm. 2010;67:1838–1846. - PubMed

Publication types

MeSH terms