Simple exposition of going solid article by Cook and Rasmussen 2005 after reading p156 section 4.1 of Modelling in Healthcare by CSMG See also Resilience Cs IM

See reference in diagram notes. WIP for Environment part of primary care regional model

Based on diagrams in the NAP 2015 Report Improving diagnosis in health care process Compare with IM-885 Clinical judgment to provide context and and Decision Ladder IM-689 to provide decision process task detail

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

A simple SD model ​From alonge2017 health policy and planning article

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

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

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

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

WIP detail of ED Clinical processes with focus on Stabilising and Deciding how to Admit or Discharge safely, the Disposition decision. For more aggregated views see IM-8237 for flows and IM-6913 for Physician Delegate Agent Interactions

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 knowledge by turnover and goal erosion in places with harmful errors.

Potential Diagnostic Error flows based on Schiff's Diagnostic Error Categories

Extension of IM-13989 to include the tension between disease guideline checklist and holistic medicine within the clinical encounter in primary care See also moments of truth IM-2275

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

Linked concept version of Tanner's Clinical Judgment Model

Summary of Eric Topol's 2019 book Deep Medicine   How Artificial Intelligence Can Make Healthcare Human Again

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

Stock Flow  Rich picture version of Tanner's Clinical Judgment Model after simulation

Simplified Rich picture version of Tanner's Clinical Judgment Model, with the addition of clinical reasoning cycle concepts from T Levett-Jones et al Nurse Education Today 30 (2010) 515-520. Simplified arrow version of #828

Linked concept version of Tanner's Clinical Judgment Model used as a scaffolding to start modeling managing the deteriorating patient.

Continuity of care includes continuity of information, management (ends and means) and meaningful care relationships. This includes managing inevitable changes. This conceptual information overview is Based on Contsys ehealth and workflow ISO CD 13940 (E) UML Class DIagram See IM-4008 for clinical process 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, 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).

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