System Design and Management

The MIT Master's Program in Engineering and Management

Prognostic Aging: Envisioning a Systems Approach to Well-Being Across the Lifespan

Joseph F. Coughlin
Director, MIT AgeLab & Senior Lecturer, Engineering Systems Division

Prognostics engineering seeks to predict the time when a system will fail. Typically applied to appliances, transportation vehicles and other technologies, prognostics is a data-driven approach to predict and analyze system failure, development of techniques to detect early signs of performance decline, and effective approaches to lifecycle management. Prognostics provides a useful metaphor and framework to envision how human longevity and well-being might be achieved through the creative application of technology, incentives to motivate behavioral change and personal health data to both manage and monitor progress from birth to 100+. Drawing upon survey findings from the Gallup-Healthways Well-Being Index, this presentation will show how data, ambient intelligent systems, and agents of change such as employers, insurers, families and social networks might be strategically aligned to improve individual well-being while reducing societal healthcare costs.

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  • Sloan School of Management
  • School of Engineering
  • Engineering Systems Division

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