Medicines Models

These models and simulations have been tagged “Medicines”.

 Causal loop diagram patient centric version of  Insight 691 , unfolding the complexity of medication management.

Causal loop diagram patient centric version of Insight 691, unfolding the complexity of medication management.

 This model shows the Pharmaceutical New Drug Pipeline based on drug release, approval and patent expiry. This pipeline is then linked to patients switching from older drugs to newer drugs based on proven indications and marketing (indication creep). Based on work by Mark Heffernan on the Australian

This model shows the Pharmaceutical New Drug Pipeline based on drug release, approval and patent expiry. This pipeline is then linked to patients switching from older drugs to newer drugs based on proven indications and marketing (indication creep). Based on work by Mark Heffernan on the Australian Pharmaceutical Benefits Scheme for drug subsidy.Conference paper and Larger ithink model

 Addition of Incident Reporting and Prevention Interventions to a simple error chain of medication errors for patients in hospital  IM-10113  

Addition of Incident Reporting and Prevention Interventions to a simple error chain of medication errors for patients in hospital IM-10113 

 A simple error chain of medication errors for patients in hospital. Serious medication errors in inpatients with drug orders sometimes result in Adverse Drug Events (ADE) and Deaths. See next  IM-646

A simple error chain of medication errors for patients in hospital. Serious medication errors in inpatients with drug orders sometimes result in Adverse Drug Events (ADE) and Deaths. See next IM-646

 Major stocks and flows of Erythropoiesis and Erythropoiesis Stimulating Agents (ESA) Dosing in Anemia due to Renal Failure from Jim Rogers. See  Simulation Insight

Major stocks and flows of Erythropoiesis and Erythropoiesis Stimulating Agents (ESA) Dosing in Anemia due to Renal Failure from Jim Rogers. See Simulation Insight


Rich picture version of causal loop diagram for medication errors, showing the importance of reporting, analyzing and fixing knowledge and process errors. Medication errors will tend to grow due to the use of more medications in more complex patients. This is exacerbated by the loss of staff knowled
Rich picture version of causal loop diagram for medication errors, showing the importance of reporting, analyzing and fixing knowledge and process errors. Medication errors will tend to grow due to the use of more medications in more complex patients. This is exacerbated by the loss of staff knowledge by turnover and goal erosion in places with harmful errors.
 Rich picture version of causal loop diagram for medication errors, showing the importance of reporting, analyzing and fixing knowledge and process errors. Medication errors will tend to grow due to the use of more medications in more complex patients. This is exacerbated by the loss of staff knowle

Rich picture version of causal loop diagram for medication errors, showing the importance of reporting, analyzing and fixing knowledge and process errors. Medication errors will tend to grow due to the use of more medications in more complex patients. This is exacerbated by the loss of staff knowledge by turnover and goal erosion in places with harmful errors.

Rich picture version of causal loop diagram for medication errors, showing the importance of reporting, analyzing and fixing knowledge and process errors. Medication errors will tend to grow due to the use of more medications in more complex patients. This is exacerbated by the loss of staff knowled
Rich picture version of causal loop diagram for medication errors, showing the importance of reporting, analyzing and fixing knowledge and process errors. Medication errors will tend to grow due to the use of more medications in more complex patients. This is exacerbated by the loss of staff knowledge by turnover and goal erosion in places with harmful errors.
 From p592 Doyle F et al.(2007) Journal of Process Control 17 571-594   abstract

From p592 Doyle F et al.(2007) Journal of Process Control 17 571-594


abstract
 The dynamics of methadone treatment for intravenous opioid users. The major flows in this study were people cycling between being on methadone and off treatment. This is a minimal model of the insights from the more detailed modelling project described in   Monograph pdf

The dynamics of methadone treatment for intravenous opioid users. The major flows in this study were people cycling between being on methadone and off treatment. This is a minimal model of the insights from the more detailed modelling project described in  Monograph pdf

 Mind map example of a medication management project.  See also  IM-692  for CLD

Mind map example of a medication management project.

See also IM-692 for CLD

WIP Summary of Levin Roberts and Hirsch 1975 book subtitled A Computer-Aided Search for Heroin Policy using System Dynamics
WIP Summary of Levin Roberts and Hirsch 1975 book subtitled A Computer-Aided Search for Heroin Policy using System Dynamics
 Mind map example of a medication management project.  See also  IM-692  for CLD

Mind map example of a medication management project.

See also IM-692 for CLD

Explanation of delays in treatment effect and rebound effects on cessation of anti-depressant SSRI drugs based on Andrews
Explanation of delays in treatment effect and rebound effects on cessation of anti-depressant SSRI drugs based on Andrews