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.
Highlights
Growing healthcare costs have drawn significant attention to the healthcare delivery system and its fragile and fragmented nature
This paper develops the dynamics for a system model for personalized healthcare delivery and managed individual health outcomes
RESULTS & DISCUSSION The illustrative examples demonstrate the dynamic model for personalized healthcare delivery and managed health outcomes
Summary
Growing healthcare costs have drawn significant attention to the healthcare delivery system and its fragile and fragmented nature. The growing burden of illness has directed attention to addressing patients’ health needs. The consequences of the growing burden of illness compounded by an increasingly expensive healthcare delivery system places grave consequences on our economy and way of life. Efforts to affect positive change requires an understanding of the complex dynamics of healthcare delivery systems and patients’ health. Most modeling focuses on either 1.) the healthcare delivery system that renders patients without state as they are pushed and pulled through the system (e.g., a patient with an acute condition in an ER) or 2.) the patient health without any consideration of its interface with the healthcare delivery system. In order to develop a dynamic system model of a personalized healthcare delivery system in which individual health outcomes are managed, these two processes need to be linked
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