Literature DB >> 8877247

Integrating pharmacokinetics into point-of-care information systems.

W G Leader1, S L Pestotnik, M H Chandler.   

Abstract

Computer-based patient care information systems (PCIS) have emerged as an integral component of healthcare organisations. Currently, 4 models of PCIS exist: the centralised model, the hub-and-spoke model, the network model, and the distributed model. The centralised model has the advantage of a central patient database; however, a major disadvantage of this model is the inability to easily interface with other software packages. The hub-and-spoke model links satellite or feeder systems into a mainframe computer; thus, each satellite has the ability to work independently. This system is limited by the ability to interface satellite systems with the mainframe computer. The network model works via a local area network (LAN) using client server technology which allows for high speed data access and transfer. The network model does not provide an integrated view of patient information and can access only 1 host system at a time. The distributed model is similar to the network model in design but provides for data and system integration via relational databases. This allows for the creation of a central data repository and support for decision-support tools. Computer-assisted decision support has the potential to significantly improve clinical decision-making. Six types of computer-assisted decision-support have been defined: alerting, interpreting, assisting, critiquing, diagnosing and managing. Software representing each type of decision-support software has been incorporated into clinical practice; however, with the exception of drug interaction programs, widespread incorporation of decision-support software into PCIS is uncommon. Clinical pharmacokinetic programs are a category of pharmacy-related decision-support software, and current clinical pharmacokinetic software systems can be categorised as interpreting, assisting or critiquing decision-support. Despite the potential for significant clinical contributions, the integration of clinical pharmacokinetic software into PCIS is uncommon. Most packages are available only as stand alone programs or as a module of a pharmacy information system. These packages usually maintain their own centralised database and require special file transfer protocols for integration. Although PCIS are becoming more commonplace, the integration of commercial clinical pharmacokinetic packages into PCIS is limited. New technology using standardised and relational databases should allow for easier integration in the future.

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Mesh:

Year:  1996        PMID: 8877247     DOI: 10.2165/00003088-199631030-00001

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  31 in total

1.  Open architecture and integrated information at Columbia-Presbyterian Medical Center.

Authors:  P D Clayton; R V Sideli; S Sengupta
Journal:  MD Comput       Date:  1992 Sep-Oct

2.  RXPERT: a prototype expert system for formulary decision making.

Authors:  M L Greer
Journal:  Ann Pharmacother       Date:  1992-02       Impact factor: 3.154

Review 3.  Knowledge-based systems in laboratory medicine and pathology. A review and survey of the field.

Authors:  K A Spackman; D P Connelly
Journal:  Arch Pathol Lab Med       Date:  1987-02       Impact factor: 5.534

Review 4.  Computerized data management and decision making in critical care.

Authors:  R M Gardner
Journal:  Surg Clin North Am       Date:  1985-08       Impact factor: 2.741

5.  Computerized management of intensive care patients.

Authors:  R M Gardner
Journal:  MD Comput       Date:  1986 Jan-Feb

Review 6.  Computers in pharmacokinetics. Choosing software for clinical decision making.

Authors:  D E Buffington; V Lampasona; M H Chandler
Journal:  Clin Pharmacokinet       Date:  1993-09       Impact factor: 6.447

7.  Improving empiric antibiotic selection using computer decision support.

Authors:  R S Evans; D C Classen; S L Pestotnik; H P Lundsgaarde; J P Burke
Journal:  Arch Intern Med       Date:  1994-04-25

8.  The HELP system.

Authors:  T A Pryor; R M Gardner; P D Clayton; H R Warner
Journal:  J Med Syst       Date:  1983-04       Impact factor: 4.460

9.  The effect on test ordering of informing physicians of the charges for outpatient diagnostic tests.

Authors:  W M Tierney; M E Miller; C J McDonald
Journal:  N Engl J Med       Date:  1990-05-24       Impact factor: 91.245

10.  Distinguishing drug toxicity syndromes from medical diseases: a QMR computer-based approach.

Authors:  M E Mabry; R A Miller
Journal:  Comput Methods Programs Biomed       Date:  1991-08       Impact factor: 5.428

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  3 in total

1.  Knowledge, skills, and resources for pharmacy informatics education.

Authors:  Brent I Fox; Allen J Flynn; Christopher R Fortier; Kevin A Clauson
Journal:  Am J Pharm Educ       Date:  2011-06-10       Impact factor: 2.047

Review 2.  Clinical pharmacokinetics in the 21st century. Does the evidence support definitive outcomes?

Authors:  M H Ensom; G A Davis; C D Cropp; R J Ensom
Journal:  Clin Pharmacokinet       Date:  1998-04       Impact factor: 6.447

3.  AsthmaCritic: issues in designing a noninquisitive critiquing system for daily practice.

Authors:  Manon M Kuilboer; Marc A M van Wijk; Mees Mosseveld; Johan van der Lei
Journal:  J Am Med Inform Assoc       Date:  2003-06-04       Impact factor: 4.497

  3 in total

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