There is no single right answer or path forward, but there is one right way to frame the problem.
By definition, big data cannot yield complicated descriptions of causality. Especially in healthcare. Almost all of our diseases occur in the intersections of systems in the body.
Interpretation
What this quote means
Big data in healthcare is limited in explaining the nuances of disease causation due to the complexity of bodily systems.
Clayton M. Christensen emphasizes that while big data can provide vast amounts of information in healthcare, it falls short in developing intricate understandings of how diseases arise. This is largely because diseases often occur at the intersections of various bodily systems, making it challenging to attribute them to single causes, which complicates the interpretation and application of data-driven insights.
Themes
In practice
Example use cases
In a conference on healthcare innovation, one might use this quote to highlight the limitations of data analysis in medical research.
More from Clayton M. Christensen
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Companies, in fact, are specifically organized to under-invest in disruptive innovations! This is one reason why we often suggest that companies set up separate teams or groups to commercialize disruptive innovations. When disruptive innovations have to fight with other innovations for resources, they tend to lose out.
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The breakthrough innovations come when the tension is greatest and the resources are most limited. That's when people are actually a lot more open to rethinking the fundamental way they do business.
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