The conjunction of reality and simulation?

 "Models are approximations of reality, constructed by scientists to address specific questions of natural phenomena using the language of mathematics. Mathematical equations allow the practitioner to decide the level of abstraction needed to tackle a given problem, thus transcending the 'billiard ball' approach." p.198.

 

INDIVIDUAL
  |

     INTERPERSONAL    :     SCIENCES               

HUMANISTIC --------------------------------------  MECHANISTIC      

SOCIOLOGY  :   POLITICAL 

|

GROUP

"In practice, simulations are often limited by a dynamic range problem, meaning that one runs out of computing power to simulate behavior at all scales. The discretization of mathematical equations in order to program them into a computer introduces subtleties such as numerical dissipation - an artificial side effect of differential equation calculations that does not arise from physics. It is also likely that one needs different numerical methods to simulate behavior on different scales, and a single method may be insufficient for all spatial scales. Perhaps the advent of AI will allow us to overcome some of these limitations, but for now emulations remain an aspiration." p.199.  "

"Generally, examining the microscopic components of a complex system in order to understand how macroscopic behaviour emerges falls short - think biology and economics. Implicitly, this brute-force approach suggests that one may study complex systems without having a scientific question in mind, and if enough computing power is deployed then insight naturally emerges. The billion-euro Human Brain Project is a spectacular example of the limitations of such an approach. Essentially, their  simulations have failed to replace laboratory experiments. As has been noted by climate scientist Isaac Held, there is a tension between simulation and understanding.  We simulate in order to mimic as much of an observed phenomenon as possible. But we achieve understanding by using idealized models to capture the essence of the phenomenon. By design, idealized models necessarily employ assumptions." p.198.

Heng, K., Approximating Reality, American Scientist - Special Issue: Scientific Modelling, July-August 2023. 111:4,198-199.

IF there is a 'medical model' THEN ...

IF there is a 'MEDICAL MODEL'

(Google: about 1,770,000 results)

AND

there exists a 'MULTIDISCIPLINARY TEAM'

(about 57,200,000 results)

AND

respective disciplines have produced distinct 'MODELS OF CARE'

(about 1,790,000,000 results) 

AND

a key aim of healthcare delivery is 'INTEGRATED CARE'

(about 673,000,000 results)

THEN

- where is the RESEARCH EVIDENCE for a generic model / conceptual framework to center and integrate said care^*?

 

If there are any philosophers of science, of nursing, logicians ... willing to critique my thinking I would greatly appreciate your advice.

*self, health and social care.

McGivern, P. (2008). Reductive Levels and Multi-Scale Structure. Synthese, 165(1), 53-75. Retrieved August 23, 2020, from http://www.jstor.org/stable/40271111