DesignRush recently featured MCH Strategic Data and CEO Peter Long in an article examining why AI-powered healthcare marketing still depends on accurate, continuously maintained contact data.

As AI takes on a larger role in lead scoring, segmentation, personalization, and campaign execution, poor data quality can undermine the entire process. DesignRush notes that outdated healthcare contacts, changing roles, and incomplete information can cause campaigns to miss the people who actually influence buying decisions.

Peter Long explains that the problem is not necessarily the AI itself, but the information feeding it. When inaccurate or outdated data enters the system, those errors can carry through targeting, scoring, personalization, and measurement — creating the appearance of precision without actually improving reach.

The article also highlights MCH Strategic Data’s focus on verified and continuously refreshed healthcare contact data, helping marketers give their downstream systems a more reliable foundation to work from. Long recommends that organizations treat data quality as an ongoing discipline, including regular audits, planning for data decay, and tying AI investments to the quality of the underlying information.

For healthcare marketers, the takeaway is straightforward: AI can amplify what is working, but it can also scale existing data problems. Accurate, current contact data remains essential to reaching the right people and getting meaningful results from increasingly sophisticated marketing technology.

Read the full DesignRush article:
AI Can’t Fix a Bad Healthcare Contact List

Originally published by DesignRush, May 19, 2026.