> For the complete documentation index, see [llms.txt](https://docs.dstillery.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dstillery.com/data-and-audience-products/audiences/custom-patient-targeting.md).

# Custom patient targeting

Build condition-specific healthcare audiences with privacy-safe predictive modeling.

### What it is

Custom Patient Targeting enables marketers to reach the right patients in a privacy-safe, compliant way. It uses medical claims data and patient search behavior to build a custom, condition-specific predictive model.

Rather than relying on broad health segments, Dstillery identifies relevant impressions through confirmed diagnoses and patient-journey search behavior. The model uses 40+ billion medical and pharmacy claims covering 330+ million patient lives and 98% of payer data. This depth supports precise, condition-specific models across virtually any indication.

### Why it's different

{% columns %}
{% column %}

#### Before

Healthcare marketers often rely on the same claims data sets. Broad health segments identify a condition but lack visibility into diagnosis, research, or treatment stage.
{% endcolumn %}

{% column %}

#### After

Dstillery layers patient search behavior on top of medical claims data. The result is a model built for one condition, not a generic health category.
{% endcolumn %}
{% endcolumns %}

### How it works

{% stepper %}
{% step %}

#### Define condition signals

Medical claims data and patient search behavior seed the model for a specific condition.
{% endstep %}

{% step %}

#### Build the model

Dstillery's AI builds a predictive model from these signals.
{% endstep %}

{% step %}

#### Find relevant impressions

The model identifies impressions likely to reach relevant patients across channels.
{% endstep %}

{% step %}

#### Activate across channels

Your audience activates across display, video, CTV, and mobile. The model is delivered to your DSP within 24 to 48 hours.
{% endstep %}
{% endstepper %}

### Key benefits

{% hint style="success" %}

* Reaches patients based on their journey stage, not only a broad health segment.
* Designed for privacy from the start, with no reliance on PII.
* Activates across display, video, CTV, and mobile.
  {% endhint %}

### Good fit if you

* Are a healthcare or pharma marketer running a condition-specific campaign, such as diabetes, oncology, or a rare disease.
* Need HIPAA-compliant targeting without building your own data infrastructure.
* Are frustrated with generic health segments that do not reflect where a patient is in their journey.
* Need to launch quickly, without standing up a multi-month custom data program.

### Pricing

See [Pricing](/data-and-audience-products/audiences/pricing.md) for current rates.