Abstract
Humanity is currently facing an unprecedented chronic disease burden. Healthcare needs have significantly shifted from treating acute to treating chronic conditions. Chronic diseases tend to involve multiple factors with complex interactions between them evidenced by the continually growing medical knowledge base. The health profession requires the ability to manage this rapidly deepening knowledge base to assimilate the lessons from research and clinical care experience by systematically capturing, assessing and translating it into the highest level of reliable care. A more systems approach to practicing medicine exists and is referred to as functional medicine. It takes into account the many subsystems in the human body and their many interactions. Although the science behind treating the patient as a system exists, the application of systems tools and techniques have not been utilized. It is only natural to begin to formalize the systems thinking using the established tools from the systems engineering field. Specifically, this paper is the first to contribute to the need for systems tools in the practice of clinical medicine and includes an example application of model-based systems engineering to clinical medicine.
| Original language | English |
|---|---|
| Title of host publication | 11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings |
| ISBN (Electronic) | 9781509046225 |
| DOIs | |
| State | Published - 26 May 2017 |
| Event | 11th Annual IEEE International Systems Conference, SysCon 2017 - Montreal, Canada Duration: 24 Apr 2017 → 27 Apr 2017 |
Publication series
| Name | 11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings |
|---|
Conference
| Conference | 11th Annual IEEE International Systems Conference, SysCon 2017 |
|---|---|
| Country/Territory | Canada |
| City | Montreal |
| Period | 24/04/17 → 27/04/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- engineering systems
- improving health outcomes
- managing knowledge complexity
- model-based systems engineering
Fingerprint
Dive into the research topics of 'The application of model-based systems engineering to the practice of clinical medicine'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver