# What will AGI do for Clinical Evidence Extraction?

## Overview

Medical affairs teams and health economics researchers spend thousands of hours manually hunting for specific endpoints, adverse events, and patient outcomes buried in dense clinical literature. The data they need resides in unstructured formats, locked inside PDF trial reports, multi-page data tables, and dense peer-reviewed journal articles. Every systematic literature review or regulatory submission requires highly trained specialists to read hundreds of papers and transcribe findings into standardized databases.

The difficulty of extraction stems from the highly contextual nature of clinical data. Crucial variables like patient inclusion criteria, dosage variations, and statistical significance are often scattered across abstracts, footnotes, and supplementary appendices. Extracted data points hold no value without their exact clinical context, meaning basic keyword searches frequently capture irrelevant or medically inaccurate information.

Traditional text-mining tools fail to parse the complex, nested tables commonly used to report clinical trial results. They also lack the domain-specific ontology required to map varying terminologies for medical conditions or subtle distinctions in trial methodology. Because existing software cannot reliably link a reported outcome to its specific patient cohort, life sciences organizations default to brute-force human labor, severely capping the volume of real-world evidence they analyze.

## How AGI delivers it

### Services-as-Software

For Clinical Evidence Extraction, get the professional outcome delivered as software, priced on results, not headcount.

Routes to: services.do, services.studio

### Autonomous Agents as digital employees

For Clinical Evidence Extraction, hire a digital employee that does the job under earned, supervised autonomy.

Routes to: agents.do, workflows.do, management.studio, agents.management

## Related

- [1040 Document Processing](https://agi.do/Problems/1040_Document_Processing)
- [1040 Overflow Preparation](https://agi.do/Problems/1040_Overflow_Preparation)
- [1040 Return Generation](https://agi.do/Problems/1040_Return_Generation)
- [1040 Return Preparation](https://agi.do/Problems/1040_Return_Preparation)
- [1040 Schedule Mapping](https://agi.do/Problems/1040_Schedule_Mapping)
- [1099 Brokerage Fetching](https://agi.do/Problems/1099_Brokerage_Fetching)

## Read more

- [The informational twin on agi.as](https://agi.as/Problems/Clinical_Evidence_Extraction)
- [This page on agi.do](https://agi.do/Problems/Clinical_Evidence_Extraction)