The Collapse of Cause and Effect
The cause is in one patient healthcare portal. The effect is in another. The context is in a notebook you no longer have. The connecting detail is in an email thread from two years ago.
All the evidence exists. The pattern is still invisible.
This is the collapse of cause and effect. When health information is divided across multiple systems, the individual data points are preserved but the relationships between them are destroyed. You can find the date the medication was changed. You can find the date the symptom appeared. But if those two dates live in different systems that are never viewed together, the connection between them remains invisible.
Cause and effect require proximity. They require that the two events be visible at the same time, in the same place, in the correct sequence. When they are separated by geography — one in a portal, one in a notebook, one in a memory — the relationship cannot be established. The provider receives the individual data points and must guess at the connections.
This is why fragmented health records are not just inconvenient. They are clinically dangerous. A provider working from a fragmented history is working from a false picture. The pattern they see is not the pattern that exists. The connections they draw are based on the fragments they have access to, not the full sequence of events.
The collapse of cause and effect is not a failure of memory. It is a failure of architecture. The information was captured. It was simply captured in the wrong places, and no one assembled it into a sequence.
A unified record does not require that every piece of information be recaptured. It requires that the pieces be brought together into one place where they can be read in sequence. When the cause and the effect are visible at the same time, in the same document, in the correct order, the pattern emerges. The connection that was invisible becomes undeniable.
Related Sacred Books tools:
•Comparison and Decision Tools
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