HealthLink Signals Episode Seven | Not All Data Is Equal: Recency, Multimodal Data, Hidden Treaters

Featuring Scott Phillips, Vice President of Real World Data at Diaceutics, with host Matt Nam, who leads omnichannel strategy at HealthLink Dimensions

In Episode Seven of HealthLink Signals, Scott Phillips, Vice President of Real World Data at Diaceutics, argues that the industry has confused volume and speed with quality. As AI makes more data available and faster to process, he says the discipline that matters is knowing what the right data is for the question you are actually asking.

Phillips oversees the data pipeline that brings in results from 500 to 600 labs across the United States, and he explains why diagnostically driven signals change the timing of engagement. A diabetes or oncology claim may be 30, 60, or 90 days old. A lab result happened yesterday. From there he makes the case for a multimodal view of the patient journey, using a Duchenne muscular dystrophy example to show how stitching labs, age, and specialty together surfaces physicians that a claims-only list never flags.

That leads to what he calls hidden treaters, the clinicians actively managing patients who generate no billable event a marketer can see. It is a reminder that precision engagement is only precise if the data behind it reflects how patients actually move through care.

In this conversation, Phillips discusses:

• Why diagnostically driven signals are more actionable than claims that are a quarter old
• The difference between having more data and having better context
• How a multimodal view of the patient journey surfaces physicians claims data never flags
• Why roughly half of diabetes patients generate no billable diabetes event in a year
• What precision engagement requires beyond the promise of right doctor, right time

He also reflects on what changes as a career progresses, from doing the assigned task well to asking why the task was assigned at all, and on why there is no playbook yet for the work he is doing now.