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.

NEAT Project WIP Narrow view of ED only. See  IM-6167  for the widest view and  IM-6913  for Task Interactions within the ED
NEAT Project WIP Narrow view of ED only. See IM-6167 for the widest view and IM-6913 for Task Interactions within the ED
Simulation model of the WIP Conceptual map  IM-7671  of initial scope of the effects of the ED 4 hour rule based on June WA Teleconference and  IM-8221 . See also the conceptual maps of addition of indirect effects at  IM-7775  and the potential wider context map in  IM-6167
Simulation model of the WIP Conceptual map IM-7671 of initial scope of the effects of the ED 4 hour rule based on June WA Teleconference and IM-8221. See also the conceptual maps of addition of indirect effects at IM-7775 and the potential wider context map in IM-6167
    When patient census is low the hospital decreases staff. In addition to staff shortage they implement new protocol to attempt to reduce incidents. However, this act aggravates patients, decreases staff productivity, causes injuries, and decreases overall productivity.   

   When patient census is low the hospital decreases staff. In addition to staff shortage they implement new protocol to attempt to reduce incidents. However, this act aggravates patients, decreases staff productivity, causes injuries, and decreases overall productivity.   

See reference in diagram notes. WIP for Environment part of primary care regional model. GP centric calibration by JPS at  IM-14117  See also  IM-3126  for Regional Health Service Use Context
See reference in diagram notes. WIP for Environment part of primary care regional model. GP centric calibration by JPS at IM-14117 See also IM-3126 for Regional Health Service Use Context
Simulation model of the WIP Conceptual map  IM-7671  of initial scope of the effects of the ED 4 hour rule based on June WA Teleconference and  IM-8221 . See also the conceptual maps of addition of indirect effects at  IM-7775  and the potential wider context map in  IM-6167
Simulation model of the WIP Conceptual map IM-7671 of initial scope of the effects of the ED 4 hour rule based on June WA Teleconference and IM-8221. See also the conceptual maps of addition of indirect effects at IM-7775 and the potential wider context map in IM-6167
Simplest ED Model for Daily ED Performance with 1 ED area rather than 2 in  IM-10571 . Currently runs over a weekend and calibrated roughly to Weekend Data.Ward net discharges are extended in  IM-12414 . The Master Version of this, with the story added is at  IM-11936
Simplest ED Model for Daily ED Performance with 1 ED area rather than 2 in IM-10571. Currently runs over a weekend and calibrated roughly to Weekend Data.Ward net discharges are extended in IM-12414. The Master Version of this, with the story added is at IM-11936
Clone of  IM-11079  ED Model for Daily ED Performance with 2 areas again, as in the previous  IM-10571 . Focus on shift performance by Specialist.
Clone of IM-11079 ED Model for Daily ED Performance with 2 areas again, as in the previous IM-10571. Focus on shift performance by Specialist.
WIP Patient Flow improvement strategies for a City Hospital with 3 years historical data and two year planning horizon. Built after a Generic Teaching Hospital Model  IM-10346  A simplified stock flow map is at  IM-399
WIP Patient Flow improvement strategies for a City Hospital with 3 years historical data and two year planning horizon. Built after a Generic Teaching Hospital Model IM-10346 A simplified stock flow map is at IM-399
 The transitions from potential to undiagnosed and diagnosed intellectual disability of people with ID from birth to death in order to plan future services as they survive longer. See  IM-3279  for updated version with different age splits

The transitions from potential to undiagnosed and diagnosed intellectual disability of people with ID from birth to death in order to plan future services as they survive longer. See IM-3279 for updated version with different age splits

 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

 Dynamics of Emergency Department Crowding Initial View from the waiting room. Follows from  IM-369 Sim  and  IM-340 CLD . Proceed to  IM-349  

Dynamics of Emergency Department Crowding Initial View from the waiting room. Follows from IM-369 Sim and IM-340 CLD. Proceed to IM-349 

WIP for regional integration based on NHPA and IHPA activities in Australia built on clone of  IM-10198  and will need to also focus on Elective Emergency Interactions Models esp Simple Simulation  IM-7981
WIP for regional integration based on NHPA and IHPA activities in Australia built on clone of IM-10198 and will need to also focus on Elective Emergency Interactions Models esp Simple Simulation IM-7981
 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

Simplest ED Model for Daily ED Performance with 1 ED area rather than 2 in  IM-10571 . Currently runs over a weekend and calibrated roughly to Weekend Data. ED completion rate may be better as a converter.
Simplest ED Model for Daily ED Performance with 1 ED area rather than 2 in IM-10571. Currently runs over a weekend and calibrated roughly to Weekend Data. ED completion rate may be better as a converter.
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, afte
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).

Authors: Ashish Taneja, Keming Wang and Daniel Wong
 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.  

 WIP for IT enabled regional health services. See also  IM-14104  The Ecology of Medical Care

WIP for IT enabled regional health services. See also IM-14104 The Ecology of Medical Care

 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

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
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, afte
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).


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.
Click +View Story on Bottom Left to unfold his wide view of Emergency care patient flows  IM-6072  used as context to add confounders and potential indirect effects. See also  IM-1010  for hospital fixes that fail,  wiki  for general Systems Archetypes and  wiki  for Leverage Points (There is also a
Click +View Story on Bottom Left to unfold his wide view of Emergency care patient flows IM-6072 used as context to add confounders and potential indirect effects. See also IM-1010 for hospital fixes that fail, wiki for general Systems Archetypes and wiki for Leverage Points (There is also a health leverage points WIP wiki page)
 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