Clone of IM-11079, incorporating Mark Heffernan's SImple SD ithink v10 Model of Hospital Patient Flow done for particle filtering in September 2014
Clone of IM-11079, incorporating Mark Heffernan's SImple SD ithink v10 Model of Hospital Patient Flow done for particle filtering in September 2014
 Simulation model version of  IM-398  CLD (which lists the reference).The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. Here Bed Capacity is a fixed parameter.  For discharge dynamics see  IM-14124 . For an adjusted bed capacity stock see  IM-14144 .For

Simulation model version of IM-398 CLD (which lists the reference).The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. Here Bed Capacity is a fixed parameter.  For discharge dynamics see IM-14124. For an adjusted bed capacity stock see IM-14144.For backlog and services see IM-8382

 Dynamics of Emergency Room Crowding a simple uncalibrated simulation which includes Wards and some simple internal ED feedback effects

Dynamics of Emergency Room Crowding a simple uncalibrated simulation which includes Wards and some simple internal ED feedback effects

 A stock flow structure used to investigate interventions to improve the monthly patterns of patient flows through hospitals. Simplest structure to explain  IM-10386  Expanded in  IM-13966

A stock flow structure used to investigate interventions to improve the monthly patterns of patient flows through hospitals. Simplest structure to explain IM-10386 Expanded in IM-13966

Clone of JPS  IM-14117  See reference in diagram notes. WIP for Environment part of primary care regional model
Clone of JPS IM-14117 See reference in diagram notes. WIP for Environment part of primary care regional model
 A work in progress model for ED hourly arrival flows based on reported statistics by triage category with individual triage categories dis-aggregated using vectors. Based on a hospital performance report from   http://www.bhi.nsw.gov.au/publications/hospital_quarterly_3   
 Split of  IM-2166

A work in progress model for ED hourly arrival flows based on reported statistics by triage category with individual triage categories dis-aggregated using vectors. Based on a hospital performance report from  http://www.bhi.nsw.gov.au/publications/hospital_quarterly_3 

Split of IM-2166

 Dynamics of Emergency Room Crowding with treatment spaces. Here we investigate the effect of constrained spaces and ignore any changes in treatment time or staffing effects. Many of the consequences occur before treatment with potential arrivals being turned away and arrivals leaving without being

Dynamics of Emergency Room Crowding with treatment spaces. Here we investigate the effect of constrained spaces and ignore any changes in treatment time or staffing effects. Many of the consequences occur before treatment with potential arrivals being turned away and arrivals leaving without being treated.  

 Dynamics of Emergency Room Crowding with treatment spaces. Here we investigate the effect of constrained spaces and ignore any changes in treatment time or staffing effects. Many of the consequences occur before treatment with potential arrivals being turned away and arrivals leaving without being

Dynamics of Emergency Room Crowding with treatment spaces. Here we investigate the effect of constrained spaces and ignore any changes in treatment time or staffing effects. Many of the consequences occur before treatment with potential arrivals being turned away and arrivals leaving without being treated.  

 Simulation model version of  IM-398  CLD (which lists the reference).The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. Here Bed Capacity is a fixed parameter.  For discharge dynamics see  IM-14124 . For an adjusted bed capacity stock see  IM-14144 .For

Simulation model version of IM-398 CLD (which lists the reference).The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. Here Bed Capacity is a fixed parameter.  For discharge dynamics see IM-14124. For an adjusted bed capacity stock see IM-14144.For backlog and services see IM-8382

 Dynamics of Emergency Room Crowding with treatment spaces. Here we investigate the effect of constrained spaces and ignore any changes in treatment time or staffing effects. Many of the consequences occur before treatment with potential arrivals being turned away and arrivals leaving without being

Dynamics of Emergency Room Crowding with treatment spaces. Here we investigate the effect of constrained spaces and ignore any changes in treatment time or staffing effects. Many of the consequences occur before treatment with potential arrivals being turned away and arrivals leaving without being treated.  

Reported services via medicare statistics and healthy communities (hc) PHN reports MBS Statistics Financial Year  P20082 GP Workforce 2000-17  See reports icon for more details
Reported services via medicare statistics and healthy communities (hc) PHN reports
MBS Statistics Financial Year
P20082 GP Workforce 2000-17
See reports icon for more details
 A work in progress model for ED hourly arrival flows based on reported statistics by triage category with individual triage categories dis-aggregated using vectors. Based on a hospital performance report from   http://www.bhi.nsw.gov.au/publications/hospital_quarterly_3   
 Split of  IM-2166

A work in progress model for ED hourly arrival flows based on reported statistics by triage category with individual triage categories dis-aggregated using vectors. Based on a hospital performance report from  http://www.bhi.nsw.gov.au/publications/hospital_quarterly_3 

Split of IM-2166

 Simulation model version of  IM-398  CLD (which lists the reference).The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. Here Bed Capacity is a fixed parameter.  For discharge dynamics see  IM-14124 . For an adjusted bed capacity stock see  IM-14144 .For

Simulation model version of IM-398 CLD (which lists the reference).The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. Here Bed Capacity is a fixed parameter.  For discharge dynamics see IM-14124. For an adjusted bed capacity stock see IM-14144.For backlog and services see IM-8382

 Dynamics of Emergency Department Crowding Initial Simplest Simulation of the View from the waiting room. Start of a simple introductory series which proceeds to  IM-338   A simple CLD is at  IM-340

Dynamics of Emergency Department Crowding Initial Simplest Simulation of the View from the waiting room. Start of a simple introductory series which proceeds to IM-338  A simple CLD is at IM-340

 A stock flow structure used to investigate interventions to improve the monthly patterns of patient flows through hospitals. Simplest structure to explain  IM-10386  Expanded in  IM-13966

A stock flow structure used to investigate interventions to improve the monthly patterns of patient flows through hospitals. Simplest structure to explain IM-10386 Expanded in IM-13966



This is a high level system dynamics model which is built to
determine the dynamic relationships of the FSA and Followups capacity.
Therefore, it can help clinicians to find out the optimistic method in order to
reduce the waiting list. At past clinicians were seeing more FSA patients,
however, af
This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.
Clone of Clone 4of IM 27348, of JPS IM-27150 of original JPS  IM-14117  See reference in diagram notes. WIP for Environment part of primary care regional model
Clone of Clone 4of IM 27348, of JPS IM-27150 of original JPS IM-14117 See reference in diagram notes. WIP for Environment part of primary care regional model
 Rich picture version of published simple model representation described as a capacitated processing model, modified to separate Patient Flow from workflow.

Rich picture version of published simple model representation described as a capacitated processing model, modified to separate Patient Flow from workflow.

Physician agents interacting with delegate agents for emergency department assessment diagnosis and treatment. From BMC  paper  May 2013, combining figs 1 and 2
Physician agents interacting with delegate agents for emergency department assessment diagnosis and treatment. From BMC paper May 2013, combining figs 1 and 2
 A Medical Imaging View of Patient Flows through ED Imaging Workup. See  IM-375  for an extended map

A Medical Imaging View of Patient Flows through ED Imaging Workup. See IM-375 for an extended map

 Causal loop diagram of the dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. From 
 Lane, David C. and Monefeldt, C. and Rosenhead, Jonathan (2000) Looking in the wrong place for healthcare improvements: a system dynamics study of an accident and emergency

Causal loop diagram of the dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. From

Lane, David C. and Monefeldt, C. and Rosenhead, Jonathan (2000) Looking in the wrong place for healthcare improvements: a system dynamics study of an accident and emergency department.  Journal of the Operational Research Society, 51 (5). pp. 518-531. ISSN 0160-5682 

See IM-7981 for Simulation Model



This is a high level system dynamics model which is built to
determine the dynamic relationships of the FSA and Followups capacity.
Therefore, it can help clinicians to find out the optimistic method in order to
reduce the waiting list. At past clinicians were seeing more FSA patients,
however, af
This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.