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MIT Conference on Systems Thinking for Contemporary Challenges

MIT Conference on Systems Thinking for Contemporary Challenges. Complexity. Equity. Healthcare. Systems. Affordability. Healthcare: Why an Engineering Systems Approach ?.

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MIT Conference on Systems Thinking for Contemporary Challenges

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  1. MIT Conference on Systems Thinkingfor Contemporary Challenges Complexity Equity Healthcare Systems Affordability

  2. Healthcare: Why an Engineering Systems Approach? • The healthcare system is inherently multi- and trans-disciplinary: combining biology, medicine, chemistry, imaging, sociology, psychology, government, economics, information technology, enterprise processes, business, … too many to enumerate! • Only Engineering Systems’ inclusive and trans-disciplinary analyses and syntheses can be effective in understanding and characterizing a pervasive system with this level of complexity—including extremely complex interdimensional coupling. • Let’s model a simple healthcare system…

  3. Healthcare System

  4. Healthcare System IT Infrastructure Insurance Risk

  5. Healthcare System IT Infrastructure Insurance Risk

  6. Medical Efficacy PractitionerCompetency Mortality Patient Trust Healthcare System IT Infrastructure Insurance Risk

  7. Medical Efficacy PractitionerCompetency Mortality Patient Trust Healthcare System IT Infrastructure Insurance Risk

  8. Drugs Medical Efficacy Business Models PractitionerCompetency Mortality Patient Trust Healthcare System Regulation IT Infrastructure Insurance Risk

  9. Drugs Medical Efficacy Business Models PractitionerCompetency Mortality Patient Trust Healthcare System Regulation IT Infrastructure Insurance Risk

  10. Drugs Medical Efficacy Business Models PractitionerCompetency Mortality Patient Trust Healthcare System Regulation IT Infrastructure Insurance Risk

  11. What is Needed to Build a Credible Solution for the Real Complexity? • New analysis methods combining knowledge from current engineering methods, social network analyses, graph theory, plus additional innovations. • Quantitative understanding of all the linkages among system elements—for a real system like this, developing these understandings requires a major set of research-based initiatives. • The developing field of engineering systems promises to create the transformational methods needed to build credible models and solve challenges with this level of complexity.

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