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. This insight IM-11936 is the Master Version with the story added. The previous running model, now without a story, is at IM-11079

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.

Rich picture version of Causal loop diagram based on Jack  Homer's paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62 See IM-333 for the Simulation model and IM-2178 for a related Causal Loop Diagram of Project Turnover

 

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

Jack Homer's model via ithink and Mark Heffernan.  From Jack's  paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62. See IM-641 for the Causal loop diagram

From Rudolph JW Morrison JB and Carroll JS (2009) The Dynamics of Action-Oriented Problem Solving: Linking Interpretation and Choice. Academy of Management Review 34 (4) p733-756 Available online . This paper won the Forrester Award for 2012 and the presentation talk video is available. The presentation  paper abstract is available in System Dynamics Review 2013 here

WIP for Effects of Senior Staff Weekend Rostering on ED Flows. Two areas Map simplified later to no specific areas Simulation in IM-11079

From David Rees PhD dissertation "Developing a Theory of Implementation for Better Chronic Health Management" Health Services Research Centre, Victoria University of Wellington, New Zealand

Rich picture CLD of Tradeoffs in Responses to Work Pressure in the Service Industry by Rogelio Oliva California Mgt Review 2001 43(4) 26-43 paper

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.

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

From Adapting ‘Agility’ to Healthcare Service Delivery, by Tom Rust, Khalid Saeed, Isa Bar-On, Oleg Pavlov Paper from July 2013 System dynamics Conference Cambridge MA and also 2012 Conference paper  Could be extended by adding dynamics described in going solid insight

WIP for Continuity of care ISO From Wikipedia Initial Insight Representation from ContSys

Patient statechart split off at IM-4010

Modified from Mark Paich et al. 's book: Pharmaceutical product strategy. Fig 4.7 p 69. It formed the basis of a hypertension intervention discussion Aug-Sept 2010

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 Resplit into 2 areas at IM-15023

From PLOS One Article April 2012 Worni, M et al System Dynamics to Model the Unintended Consequences of Denying Payment for Venous Thromboembolism after Total Knee Arthroplasty

Simplest ED Model for Weekend  ED Performance with 1 ED area IM-11079  Ward net discharges are extended with Ward and Waitlist inflow and outflow details (informed by IM-7981) WIP

Clone of IM-11079, incorporating Mark Heffernan's SImple SD ithink v10 Model of Hospital Patient Flow done for particle filtering in September 2014

From A Philosophical Basis of Medical Practice Toward a Philosophy and Ethic of the Healing Professions Edmund D Pellegrino David C Thomasma OUP Oxford 1981 Ch6 The Anatomy of Clinical Judgments p119-152 Note judgments have consequences of action, decisions can separate out the knowledge used. 

WIP example of Services oriented multiscale computable narrative synthesis focussed on Coping carefully with diabetes

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.

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

Patients on Treatment represented as people in a swimming pool. Fast Switchers change costumes. Lapsed Users sit by the pool. Misdiagnosed people are in the wrong pool. Extended from IM-305