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By Dr Rida Akodad · Publication director · Updated 21 August 2026

Each page in this section treats a clinical research topic starting from the concept rather than the product: what it is, why it matters, who needs it, how it is carried out, which standards apply, and what the method does not solve.

How these pages fit together

They follow the real journey of a datum, from record to analysable dataset, and read as well on their own as in order.

  1. The clinical registry — the source, defined by a population rather than by a question.
  2. Clinical data capture — the four routes by which an observation becomes a value.
  3. The electronic case report form — the instrument of capture, and what separates it from a form.
  4. AI-assisted extraction — the special case of free text, and its three constraints.
  5. Clinical data quality — the measurable dimensions, and the ones that cannot be recovered.
  6. The audit trail — what makes a change visible rather than impossible.
  7. Clinical data management — the discipline linking every stage.
  8. The clinical dataset — the deliverable, and the six pieces that compose it.

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