---
title: "Real-world evidence for medical affairs: who can actually use it?"
description: "Real-World Evidence (RWE) is increasingly sought by payers, providers, and regulators, but the post distinguishes it from abundant Real-World Data (RWD), which must undergo rigorous study design, analysis, and interpretation to become credible evidence. It identifies four Medical Affairs use cases: regulatory submissions and commitments, payer formulary discussions, rapid HCP scientific exchange, and internal pipeline or portfolio decisions. The stated operational problem is that teams with claims, EHR, registry, and other assets often lack the fluency or capacity to answer complex questions within competitive and regulatory timelines. Databricks Genie is presented as a natural-language interface that can query unified RWE assets, including a treatment-initiation and 12-month-persistence example that reportedly surfaces in seconds rather than requiring several days of data-science work. The post also describes governance, logged and attributable requests, treatment-pathway awareness, and access controls for MSL support."
---

# Real-world evidence for medical affairs: who can actually use it?

[Databricks](https://yomu.fyi/company/databricks) · Adam Crown · May 8, 2026

**Type:** Explainer

## Summary

Real-World Evidence (RWE) is increasingly sought by payers, providers, and regulators, but the post distinguishes it from abundant Real-World Data (RWD), which must undergo rigorous study design, analysis, and interpretation to become credible evidence. It identifies four Medical Affairs use cases: regulatory submissions and commitments, payer formulary discussions, rapid HCP scientific exchange, and internal pipeline or portfolio decisions. The stated operational problem is that teams with claims, EHR, registry, and other assets often lack the fluency or capacity to answer complex questions within competitive and regulatory timelines. Databricks Genie is presented as a natural-language interface that can query unified RWE assets, including a treatment-initiation and 12-month-persistence example that reportedly surfaces in seconds rather than requiring several days of data-science work. The post also describes governance, logged and attributable requests, treatment-pathway awareness, and access controls for MSL support.

## Context

Real-World Evidence has moved from a regulatory novelty to an expectation among payers, regulators, and physicians. The post says the main challenge for Medical Affairs is no longer access to real-world data, but the scientific and operational fluency needed to generate, interpret, and communicate credible insights quickly enough for competitive and regulatory timelines.

## Approach / What changed

Databricks Genie is presented as a natural-language interface for interrogating unified claims, EHR, registry, and lab data. The described approach includes operation within data-use agreements and scientific review frameworks, logged and attributable analysis requests, indication and treatment-pathway awareness, and access controls for Medical Scientific Liaison support.

## Takeaways

- RWD comes from sources such as EHRs, claims, registries, wearables, pharmacy records, and patient-reported outcomes; RWE is produced when that data is analyzed with scientific rigor.
- The four cited Medical Affairs use cases are regulatory submissions and commitments, payer formulary discussions, HCP scientific exchange, and internal pipeline or portfolio decisions.
- Genie is described as answering natural-language RWE questions in seconds while supporting unified multi-source data access, governance, attribution, and controlled MSL access.

**Tags:** [Data Governance](https://yomu.fyi/topic/data-governance), [Genie](https://yomu.fyi/topic/genie), [Real-World Evidence](https://yomu.fyi/topic/real-world-evidence)

- Source: [Databricks](https://www.databricks.com/blog/real-world-evidence-medical-affairs-who-can-actually-use-it)
- Source URL: https://www.databricks.com/blog/real-world-evidence-medical-affairs-who-can-actually-use-it
- Ingested by Yomu: 2026-08-31T03:35:38.293Z

[Read original post](https://www.databricks.com/blog/real-world-evidence-medical-affairs-who-can-actually-use-it)