> ## Documentation Index
> Fetch the complete documentation index at: https://docs.matter-vault.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Timeline & Search

> The treatment chronology and full-text search inside records.

<Frame caption="The medical timeline">
  <img src="https://mintcdn.com/layereightconsulting/9BOb40_avDa4FqlH/images/pi-guide/medical/timeline.png?fit=max&auto=format&n=9BOb40_avDa4FqlH&q=85&s=792d9637526f59283d8b39574bba2ff9" alt="Medical timeline and search" width="2880" height="1800" data-path="images/pi-guide/medical/timeline.png" />
</Frame>

Two tools turn a pile of records into something you can use in a demand: a **treatment timeline** and a **search** that reads inside the records themselves.

## The Treatment Timeline

Reached from **View timeline**, this is the clinical chronology of the case — every visit in order, with the facility, treating physician, visit type, a summary, and the billed amount. Gaps in treatment are called out between visits (and flagged when they run long), and possible duplicate entries are surfaced for review. A summary band at the top totals the treatment span, encounters, providers, billed specials, the largest gap, and causation and pre-existing notes.

<AccordionGroup>
  <Accordion title="Chronology approval" icon="circle-check">
    Once the chronology is complete and reviewed, you approve it — and the demand readiness checklist reads that approval. You can hide dollar amounts for a clean clinical exhibit, and export the chronology as a Word exhibit or a PDF/CSV summary.
  </Accordion>

  <Accordion title="Records check" icon="list-check">
    A records check shows, per billed provider, whether records have never been requested, are overdue, are requested, are received but not yet on the timeline, or are complete — so you can see what's still missing before a demand.
  </Accordion>
</AccordionGroup>

## Searching Inside Records

The **Search records** panel searches the full text of your records — the actual words inside the documents, not just file names. Type a couple of characters or more and it returns matching records with a highlighted excerpt and a link to open the file in Drive. It works even when AI processing is switched off, because it reads the records' extracted text directly.
