Literature DB >> 1928142

Computer-based program for identifying medication orders requiring dosage modification based on renal function.

D E Goldberg1, G Baardsgaard, M T Johnson, C M Jolowsky, M Shepherd, C D Peterson.   

Abstract

A computer-based program that enables staff pharmacists to quickly review medication orders written for renally impaired patients is described. Medication orders requiring dosage modification based on the renal function of the patients for whom they were written were being identified by a medical staff-approved pharmacist intervention program. However, staff pharmacists were unable to assess the orders easily and rapidly because of a lack of readily available patient data. In response, a computer-based intervention program was developed. Specific dosage guidelines for renally eliminated drugs in patients with renal dysfunction were entered into the pharmacy computer. An interface with the laboratory computer enables the pharmacy computer to access creatinine concentration or clearance values, perform calculations if necessary, and alert pharmacists to specific drug orders that may require modification. Such medication orders are flagged by the pharmacy computer during order entry. When a staff pharmacist judges that intervention is needed, he or she telephones the ordering physician or sends a note to the patient's nursing station. Over a two-month period, 1485 orders were identified as being potentially inappropriate. Physicians were contacted about 191 of the flagged orders, and they accepted the pharmacist's recommendation for 141 (74%) of these orders. The interventions resulted in a drug acquisition cost saving of $7082 over the two-month period. A computer-based program enabled staff pharmacists to easily and rapidly identify orders for renally eliminated agents that required modification, reduced the risk of adverse reactions, trimmed costs, and promoted the clinical dimension of pharmacy practice.

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Year:  1991        PMID: 1928142

Source DB:  PubMed          Journal:  Am J Hosp Pharm        ISSN: 0002-9289


  12 in total

1.  Monitoring of antimicrobial therapy by an integrated computer program.

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Review 2.  Pharmacoeconomic consequences of measurement and modification of hospital drug use.

Authors:  L L Ioannides-Demos; G M Eckert; A J McLean
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3.  Drug prescribing in patients with renal impairment optimized by a computer-based, semi-automated system.

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Journal:  Int J Clin Pharm       Date:  2013-12

4.  A computerized adverse drug event alerting system using clinical rules: a retrospective and prospective comparison with conventional medication surveillance in the Netherlands.

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Journal:  Drug Saf       Date:  2011-03-01       Impact factor: 5.606

Review 5.  Principles of drug administration in renal insufficiency.

Authors:  Y W Lam; S Banerji; C Hatfield; R L Talbert
Journal:  Clin Pharmacokinet       Date:  1997-01       Impact factor: 6.447

Review 6.  Computer-based physician order entry: the state of the art.

Authors:  D F Sittig; W W Stead
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

7.  Drug dosage in patients with renal failure optimized by immediate concurrent feedback.

Authors:  A D Falconnier; W E Haefeli; R A Schoenenberger; C Surber; M Martin-Facklam
Journal:  J Gen Intern Med       Date:  2001-06       Impact factor: 5.128

8.  Appropriateness of drug dose and frequency in patients with renal dysfunction in a tertiary care hospital: A cross-sectional study.

Authors:  Arpit Prajapati; Barna Ganguly
Journal:  J Pharm Bioallied Sci       Date:  2013-04

9.  Development and use of a computer program to detect potentially inappropriate prescribing in older adults residing in Canadian long-term care facilities.

Authors:  Alexandra Papaioannou; Michel Bedard; Glenda Campbell; Sacha Dubois; Nicole Ferko; George Heckman; Norman Flett
Journal:  BMC Geriatr       Date:  2002-10-14       Impact factor: 3.921

10.  Optimising drug prescribing and dispensing in subjects at risk for drug errors due to renal impairment: improving drug safety in primary healthcare by low eGFR alerts.

Authors:  Hanneke Joosten; Iefke Drion; Kees J Boogerd; Emiel V van der Pijl; Robbert J Slingerland; Joris P J Slaets; Tiele J Jansen; Olof Schwantje; Reinold O B Gans; Henk J G Bilo
Journal:  BMJ Open       Date:  2013-01-24       Impact factor: 2.692

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