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

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, 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).

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

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

WIP Reviewing past work on a dynamic computational version of clinical reasoning and judgment

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

IM-4008 with split off patient statechart See IM-2846 for Agent with infectious disease and IM-4031 for additional professional statechart

Diagram 18 from From Gerrit Van Wyk's MEDICINE AND MEDICAL PROCESS AS A LEARNING SYSTEM  http://systems-thinking.ca/myfiles/MPhil%20Dissertation.pdf 

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. 

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).

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

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.

Extension of IM-1401 to clinical judgments of risk and decisions to act  See medical decision making 2016 article abstract

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.

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

IM-4008 with split off patient and professional statecharts See IM-2846 for Agent with infectious disease and IM-6913 for ED Physician INteraction

From Gooch 2011 article JAMIA  Computerization of workflows, guidelines, and care pathways: a review of implementation challenges for process-oriented health information systems  Relevant to Learning insight and Problem Knowledge Coupler insight 

Backup of IM-11079 before shared editing for merging storytelling. 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

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

Patient statechart split off at IM-4010

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

IM-4008 with split off patient and professional statecharts See IM-2846 for Agent with infectious disease and IM-6913 for ED Physician INteraction

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

 

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

 

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.

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