Persistent Link:
http://hdl.handle.net/10150/276856
Title:
Evaluation of a neonatal hyperalimentation microcomputer program
Author:
Angelier, Daniel Michael, 1950-
Issue Date:
1988
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
A neonatal hyperalimentation microcomputer program was designed to generate labels, and calculate mixing instructions. Artificial intelligence techniques including, interviewing experts and an inference algorithm, were employed to provide decision support in identifying clinically inappropriate orders. Development cost was $10,000. The program was alpha phase tested comparing pharmacists and technicians performance. Task time was high and prone to human mathematical error for pharmacists and technicians using an electric typewriter and calculator. All subjects performed poorly with low confidence in manually determining inappropriate orders, although pharmacists scored slightly higher. Task time was decreased 17 minutes with no errors using the program. Appropriateness, confidence and composite performance were vastly improved with decision support. Pharmacists composite performance was slightly higher.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Enteral feeding -- Computer programs.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Pharmacy Practice
Degree Grantor:
University of Arizona
Advisor:
McGhan, William F.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleEvaluation of a neonatal hyperalimentation microcomputer programen_US
dc.creatorAngelier, Daniel Michael, 1950-en_US
dc.contributor.authorAngelier, Daniel Michael, 1950-en_US
dc.date.issued1988en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractA neonatal hyperalimentation microcomputer program was designed to generate labels, and calculate mixing instructions. Artificial intelligence techniques including, interviewing experts and an inference algorithm, were employed to provide decision support in identifying clinically inappropriate orders. Development cost was $10,000. The program was alpha phase tested comparing pharmacists and technicians performance. Task time was high and prone to human mathematical error for pharmacists and technicians using an electric typewriter and calculator. All subjects performed poorly with low confidence in manually determining inappropriate orders, although pharmacists scored slightly higher. Task time was decreased 17 minutes with no errors using the program. Appropriateness, confidence and composite performance were vastly improved with decision support. Pharmacists composite performance was slightly higher.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectEnteral feeding -- Computer programs.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplinePharmacy Practiceen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorMcGhan, William F.en_US
dc.identifier.proquest1335668en_US
dc.identifier.oclc22503828en_US
dc.identifier.bibrecord.b18417899en_US
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