01ORIGINAL ARTICLE IN SPANISH · LINKEDIN
AI Can Find the Data
Finding the data is the easy part. The hard part is recognising when a data point actually answers the question we asked — and when it merely resembles an answer.
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Articles and reflections
Ideas on data, artificial intelligence, product and technology's real impact on people. The original posts are in Spanish and published on LinkedIn; you can browse them here without leaving the site.
02ORIGINAL ARTICLE IN SPANISH · LINKEDIN
This Is Not a Diagnosis, It's a Map
A diagnosis closes a question. A map opens one. When a case is rare, the first need is not simply a name — it is a structure for asking better questions.
Read on LinkedIn ↗03ORIGINAL ARTICLE IN SPANISH · LINKEDIN
The Diagnosis Doesn't End When It Has a Name
Naming the problem is a beginning, not an end. What follows — monitoring, decisions and evolution — requires just as much rigour as the name itself.
Read on LinkedIn ↗04ORIGINAL ARTICLE IN SPANISH · LINKEDIN
I Learned Data Because Waiting Wasn't Enough
Data took on a different role in my life when organising complex information stopped being useful only in a professional context.
Read on LinkedIn ↗05ORIGINAL ARTICLE IN SPANISH · LINKEDIN
Families Are Not Just Another Data Point
Families are sensors of the case: they see changes, patterns and context that no system captures on its own. Ignoring that signal means losing useful clinical information.
Read on LinkedIn ↗06ORIGINAL ARTICLE IN SPANISH · LINKEDIN
The Diagnostic Odyssey
The diagnostic journey is often longer, more fragmented and more costly than it should be. Organising the process is where change begins.
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