Pharmacology Clinical Simulations: Leading the Way for Clinical Excellence

2.50
Hdl Handle:
http://hdl.handle.net/10755/148330
Type:
Presentation
Title:
Pharmacology Clinical Simulations: Leading the Way for Clinical Excellence
Abstract:
Pharmacology Clinical Simulations: Leading the Way for Clinical Excellence
Conference Sponsor:Sigma Theta Tau International
Conference Year:2001
Conference Date:November 10 - 14, 2001
Author:Gorney-Moreno, Mary
P.I. Institution Name:San Jose State University
An important component of clinical excellence is correct medication administration. Errors in drug administration by nurses result in an unnecessarily high morbidity and mortality. This series of web-based interactive cases allows learners to experience variations in the pharmacological management of patients in the virtual world. The first two simulations demonstrate pain management and antibiotic administration. The simulation is programmed based on a probabilistic mathematical model of drug levels over time and potential consequences of drug levels. A mathematical model of a patient is built from data files. The simulation allows experimentation on a virtual patient, anytime, anywhere, minimizing the morbidity and mortality associated with inappropriate use of medications in real patients. The simulation is web-based, utilizing Java programming, allowing easy updating. To drive the simulation, a model was developed to predict outcomes for pain level, vital signs (temperature, pulse, respiration, and oxygen saturation) and side effects when various pain and antibiotic medications are administered. The antibiotic simulation involves multiple conditions for patients with infections and graphically demonstrates white blood cell count, fever, bacterial kill rate, and infection specific symptoms over time. Decisions have to be made in real time, and if selections are made that are dangerous, the patient will deteriorate unless the correct remedial interventions are made. At the end of the scenario the user receives a score for pain management, patient teaching and management of side effects. A virtual nurse and pharmacist are available for consultation within the program.
Repository Posting Date:
26-Oct-2011
Date of Publication:
10-Nov-2001
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titlePharmacology Clinical Simulations: Leading the Way for Clinical Excellenceen_GB
dc.identifier.urihttp://hdl.handle.net/10755/148330-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Pharmacology Clinical Simulations: Leading the Way for Clinical Excellence</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2001</td></tr><tr class="item-conference-date"><td class="label">Conference Date:</td><td class="value">November 10 - 14, 2001</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Gorney-Moreno, Mary</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">San Jose State University</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">mjgorney@email.sjsu.edu</td></tr><tr><td colspan="2" class="item-abstract">An important component of clinical excellence is correct medication administration. Errors in drug administration by nurses result in an unnecessarily high morbidity and mortality. This series of web-based interactive cases allows learners to experience variations in the pharmacological management of patients in the virtual world. The first two simulations demonstrate pain management and antibiotic administration. The simulation is programmed based on a probabilistic mathematical model of drug levels over time and potential consequences of drug levels. A mathematical model of a patient is built from data files. The simulation allows experimentation on a virtual patient, anytime, anywhere, minimizing the morbidity and mortality associated with inappropriate use of medications in real patients. The simulation is web-based, utilizing Java programming, allowing easy updating. To drive the simulation, a model was developed to predict outcomes for pain level, vital signs (temperature, pulse, respiration, and oxygen saturation) and side effects when various pain and antibiotic medications are administered. The antibiotic simulation involves multiple conditions for patients with infections and graphically demonstrates white blood cell count, fever, bacterial kill rate, and infection specific symptoms over time. Decisions have to be made in real time, and if selections are made that are dangerous, the patient will deteriorate unless the correct remedial interventions are made. At the end of the scenario the user receives a score for pain management, patient teaching and management of side effects. A virtual nurse and pharmacist are available for consultation within the program.</td></tr></table>en_GB
dc.date.available2011-10-26T09:43:36Z-
dc.date.issued2001-11-10en_GB
dc.date.accessioned2011-10-26T09:43:36Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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