Why Clean Data Is the Foundation of Modern Healthcare Staffing

At the SIA Healthcare Staffing Conference, one message was clear: clean data is no longer optional.

As agencies look to adopt AI, improve speed, and scale intelligently, they are running into the same issue. Their databases aren’t as complete or usable as they believed.

The Illusion of Clean Data

Most ATS profiles appear complete at a glance. A name. A specialty. An email.

But when recruiters need to act quickly, they discover critical gaps:

• outdated availability

• missing location preferences

• unclear pay expectations

• incomplete shift data

That missing information slows everything down.

Why This Problem Is Harder Than It Looks

This data often exists. It’s just buried in:

• recruiter notes

• text conversations

• historical call logs

Manually cleaning it is time-consuming and unsustainable.

How Ember Solves It

Ember Enhance was built specifically for healthcare staffing.

Our AI model was trained over two years on healthcare staffing data and recruiter workflows. It understands how recruiters document information and how that data should live inside an ATS.

Ember Enhance:

• surfaces hidden data from unstructured sources

• writes it back to the correct ATS fields

• cleans data historically and keeps it clean going forward

All without disrupting recruiter workflows.

From Conversation to Execution

Many companies are talking about AI and clean data. Fewer are actually ready to deliver it.

Ember is already integrated with major ATS platforms and actively helping agencies turn messy databases into usable systems.

Clean data is not the end goal.
It’s the foundation for speed, matching, and scale.

Learn more at emberhiring.com