Pharmacology decision making requires clinical judgment. The authors created interactive microsimulation applying drug information to varying patients' situations. The theory-based microsimulation requires situational analysis for each scenario. The microsimulation uses an interactive format that allows the participant to navigate through three separate virtual clients' situations. Correct clinical decisions are rewarded by sounds and by video footage of the patient improving. Conversely, incorrect choices show video footage of the patient decompensating. This micro-simulation was developed to help students learn from the consequences of incorrect medication decision making in the virtual world without harming patients. The feedback of watching an incorrect decision on a patient helps students associate cause and effect on patient outcomes. The microsimulation reinforces the ease with which medication errors can occur and the extent of possible sequalae. The development process used to incorporate the technology in the nursing curriculum is discussed.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3928/01484834-20100331-04 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Optimal allocation of antenatal and young child nutrition interventions: an individual-based global burden of disease calibrated microsimulation.
BMC Glob Public Health
January 2025
Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Background: Undernutrition remains a global crisis and is a focus of Sustainable Development Goals. While there are multiple known, effective interventions, complex interactions between prevention and treatment and resource constraints can lead to difficulties in allocating funding. Simulation studies that use in silico simulation can help illuminate the interactions between interventions and provide insight into the cost-effectiveness of alternative packages of options.
View Article and Find Full Text PDFA Large-Scale Geographically Explicit Synthetic Population with Social Networks for the United States.
Sci Data
November 2024
University at Buffalo, Department of Geography, Buffalo, NY, 14261, USA.
Article Synopsis
- The text discusses the challenges in creating synthetic populations for geo-simulation research, particularly the lack of social networks essential for studying human interactions like disease spread and disaster response.
- It introduces a new Python method that utilizes open data, including the 2020 U.S. Census, to generate a realistic synthetic population for all 50 states and Washington D.C., complete with stylized social networks.
- This synthetic population can be used in various geo-simulation models, such as agent-based modeling, to investigate complex phenomena and enhance research on urban digital twins.
Projections of functional dependence among the late middle-aged and older population from 2018-2048 in China: a dynamic microsimulation.
Glob Health Res Policy
April 2024
School of Public Health (Shenzhen), Sun Yat-sen University, Room 533, #1 West Wing of Medical Complex, 66 Gongchang Road, Guangming District, Shenzhen, Guangdong, China.
Background: The population of China is aging rapidly. However, the long-term trajectories of functionally dependent late middle-aged and older Chinese people are currently absent. The present study aimed to estimate the population size and proportion of late middle-aged and older adults with difficulties and dependence on activities of daily living (ADL) and instrumental activities of daily living (IADL) in China from 2018 to 2048.
View Article and Find Full Text PDFDigital twins in city planning.
Nat Comput Sci
March 2024
Centre for Advanced Spatial Analysis, University College London, London, UK.
Here, I provide a perspective on digital twins of cities that cover a wide array of different types, ranging from aggregate economic and behavioral processes to more disaggregate agent-based, cellular and micro-simulations. A key element in these applications is the way that we as scientists, policymakers and planners interact with real cities with respect to their understanding, prediction and design. I note a range of spatial models, from analytical simulations of local neighborhoods to large-scale systems of cities and city systems, and briefly describe computational challenges that geospatial applications in cities pose.
View Article and Find Full Text PDFA Canadian Simulation Model for Major Depressive Disorder: Study Protocol.
Pharmacoecon Open
May 2024
School for Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Background: Major depressive disorder (MDD) is a common, often recurrent condition and a significant driver of healthcare costs. People with MDD often receive pharmacological therapy as the first-line treatment, but the majority of people require more than one medication trial to find one that relieves symptoms without causing intolerable side effects. There is an acute need for more effective interventions to improve patients' remission and quality of life and reduce the condition's economic burden on the healthcare system.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!