A Dynamic System Model for Personalized Healthcare Delivery and Managed Individual Health Outcomes

TL;DR

This paper introduces a dynamic, personalized healthcare system model using Petri nets and graph theory, capable of managing both acute and chronic health conditions and linking health outcomes to system evolution and costs.

Contribution

It develops a novel healthcare dynamic model based on hetero-functional graph theory and Petri nets, integrating system architecture with personalized health outcome management.

Findings

Model applies to both acute and chronic conditions

Effectively links health outcomes to system dynamics and costs

Demonstrated through two clinical case studies

Abstract

The current healthcare system is facing an unprecedented chronic disease burden. This paper develops a healthcare dynamic model for personalized healthcare delivery and managed individual health outcomes. It utilizes a hetero-functional graph theory rooted in Axiomatic Design for Large Flexible Engineering Systems and Petri nets. The dynamics of the model builds upon a recently developed systems architecture for healthcare delivery which bears several analogies to the architecture of mass-customized production systems. At its essence, the model consists of two synchronized Petri nets; one for the healthcare delivery system and another for individuals' health state evolution. The model is demonstrated on two clinical case studies; one acute and another chronic. Together, the case studies show that the model applies equally to the care of both acute and chronic conditions, transparently describes health outcomes and links them to the evolution of the healthcare delivery system and its associated costs.