Literature DB >> 9533503

Computerized prescribing: building the electronic infrastructure for better medication usage.

G D Schiff1, T D Rucker.   

Abstract

Computerized prescribing in the practice of medicine is a change that is overdue. Virtually all prescriptions in the United States are still handwritten. Instead, medications should be ordered on a computer interacting with 3 databases: patient drug history, scientific drug information and guideline reference, and patient-specific (weight, laboratory) data. Current problems with prescribing on which computerized prescribing could have a positive impact include (1) drug selection; (2) patient role in pharmacotherapy risk-benefit decision making; (3) screening for interactions (drug-drug, drug-laboratory, drug-disease); (4) linkages between laboratory and pharmacy; (5) dosing calculations and scheduling; (6) coordination between team members, particularly concerning patient education; (7) monitoring and documenting adverse effects; and (8) postmarketing surveillance of therapy outcomes. Computerized prescribing is an important component of clinician order entry. Development of this tool has been impeded by a number of conceptual, implementation, and policy barriers. Overcoming these constraints will require clinically and professionally guided vision and leadership.

Entities:  

Mesh:

Year:  1998        PMID: 9533503     DOI: 10.1001/jama.279.13.1024

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  44 in total

Review 1.  Electronic prescribing for the elderly: will it improve medication usage?

Authors:  A Venot
Journal:  Drugs Aging       Date:  1999-08       Impact factor: 3.923

2.  Fatal distraction: finance vs vigilance in our nation's hospitals.

Authors:  G Schiff
Journal:  J Gen Intern Med       Date:  2000-04       Impact factor: 5.128

3.  Clinician use of a palmtop drug reference guide.

Authors:  Jeffrey M Rothschild; Thomas H Lee; Taran Bae; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2002 May-Jun       Impact factor: 4.497

4.  Preparation and use of preconstructed orders, order sets, and order menus in a computerized provider order entry system.

Authors:  Thomas H Payne; Patty J Hoey; Paul Nichol; Christian Lovis
Journal:  J Am Med Inform Assoc       Date:  2003-03-28       Impact factor: 4.497

5.  A conceptual framework for evaluating outpatient electronic prescribing systems based on their functional capabilities.

Authors:  Douglas S Bell; Shan Cretin; Richard S Marken; Adam B Landman
Journal:  J Am Med Inform Assoc       Date:  2003-10-05       Impact factor: 4.497

6.  A drug database model as a central element for computer-supported dose adjustment within a CPOE system.

Authors:  Peter Martin; Walter E Haefeli; Meret Martin-Facklam
Journal:  J Am Med Inform Assoc       Date:  2004-06-07       Impact factor: 4.497

7.  Can an electronic prescribing system detect doctors who are more likely to make a serious prescribing error?

Authors:  Elnaz Kalantari; Ahmad Fayaz-Bakhsh
Journal:  J R Soc Med       Date:  2012-05       Impact factor: 5.344

8.  Clinical outcomes and adherence to medications measured by claims data in patients with diabetes.

Authors:  Manel Pladevall; L Keoki Williams; Lisa Ann Potts; George Divine; Hugo Xi; Jennifer Elston Lafata
Journal:  Diabetes Care       Date:  2004-12       Impact factor: 19.112

9.  Clinical decision support in electronic prescribing: recommendations and an action plan: report of the joint clinical decision support workgroup.

Authors:  Jonathan M Teich; Jerome A Osheroff; Eric A Pifer; Dean F Sittig; Robert A Jenders
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

Review 10.  Medication errors caused by confusion of drug names.

Authors:  James M Hoffman; Susan M Proulx
Journal:  Drug Saf       Date:  2003       Impact factor: 5.606

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