# Metriport raises $26 million to give clinicians insight at the point of care

Today, we're excited to introduce our latest feature in Metriport: **AI Summaries** 🤖 (see [docs](https://docs.metriport.com/medical-api/handling-data/ai-summaries)).

### TL;DR:

Clinicians don't have time to sift through the entirety of a patient's clinical history to extract relevant details themselves—this is where Metriport's AI Summaries can help:

### How Does It Work?

Metriport summarizes your lengthiest patient records into one cohesive paragraph consisting of the most relevant medical history you need to know about your patient - retrievable via the [API](/content/medical/index.html) or [dashboard](/content/dashboard/index.html).

Clinical teams can configure prompts based on their specific use case (ie "Has my patient seen a PCP in the past 12 months?").

Under the hood, Metriport breaks down a single patient's consolidated clinical history from various HIEs into bite-size chunks, then feeds this into an LLM. You can see the source code behind this here: [https://github.com/metriport/metriport/blob/cc4cfb7074724f60486791ec77100640bee70def/packages/core/src/command/ai-brief/create.ts](https://github.com/metriport/metriport/blob/cc4cfb7074724f60486791ec77100640bee70def/packages/core/src/command/ai-brief/create.ts)

### Want Access?

If you're a current Metriport customer, get in touch with us today to chat about enabling this for your account, otherwise [book a live demo](https://calendly.com/colinelsinga/metriport-intro?utm_source=blog&utm_medium=metriport&utm_campaign=ai_summaries) with us today!

## Ready to build with Metriport?

[Get in touch](/content/contact/index.html)