Do You Know Which Physicians Stopped Referring to You?

Picture a primary care physician who sent your cardiology program 12 patients last year. This year she’s sent two. Nothing dramatic happened. There was no complaint and no angry phone call. Her patients still need cardiology care, and they’re still getting it. They’re just getting it somewhere else.

Would your team know? And if so, how long would it take to notice?

For many service lines, the honest answer is “eventually, maybe.” That isn’t a failure of effort. It’s a gap in data and time. This post explains why the gap exists, what your own systems can and can’t tell you, and how to build a simple list of the referring physicians who are slipping away.

Why slipping referrers deserve your attention first

Physicians who have slowed down or stopped referring are often the least expensive volume to win back. The relationship already exists, and something specific changed it (AbbaDox). Sometimes the cause is inside your own walls, such as appointment delays or a specialist who doesn’t call back. Sometimes it’s outside, such as a change in payer networks or a competitor forming a new partnership in the community (Endeavor Management).

Each of those problems has a fix. But you can only fix what you can see, and seeing it is harder than it sounds.

What your own data can tell you

Your scheduling system and health record can show the referrals that arrive, broken out by referring physician over time. That’s valuable, and it’s where most teams start.

It has two built-in limits, though. The first is data entry. The trend is only as good as the referring provider field, and in many organizations that field is optional or filled in inconsistently. Consultants still advise teams to make it mandatory in their health record systems (Endeavor Management).

The second limit is more fundamental. Your internal data stops at your own walls. It shows the referrals that came to you, but it can’t show where the other patients went, and it can’t show the physicians in your market who have never referred to you at all (Doctivity Health). A drop in your internal numbers tells you something changed. It doesn’t tell you whether that physician is now sending patients to a competitor, seeing fewer patients overall, or getting ready to retire.

What market claims data adds

To see the whole picture, you need data that covers care across your market, not just inside your system. Market claims data does that. Analysts can use it to rebuild referral paths and show where a referring physician’s patients actually ended up (Alpha Sophia).

It comes with two cautions. First, it arrives late. In one large dataset, more than 75% of claim events were available within three weeks for open claims, which come from providers and clearinghouses, compared with 17 weeks for closed claims, which come from insurers (HealthVerity). Any view of who’s slipping will always be weeks or months behind what’s actually happening. Second, it’s directional rather than exact. Coverage varies by payer and source, so it’s wise to check claims-based estimates against your own volumes before acting on them (Doret Consulting).

What the leading teams do

The most advanced programs bring both views together. Intermountain Healthcare combined its health record data, outside claims data and liaison meeting notes, then built what it called a “Falling Stars Report.” The report showed which physicians had the largest drop in referrals compared with their own moving average, so liaisons knew exactly where to look (Intermountain case study). Physician relationship management software is moving the same way, adding claims data at the provider level so teams can see beyond their own walls (Medsphere).

Many organizations aren’t there yet. In one survey of healthcare executives, 23% said their organization doesn’t monitor or report patient leakage at all, and another 23% didn’t know how much revenue they lose to it (TechTarget). In a benchmark survey of physician relations leaders, access to meaningful data was the challenge named most often, by 57% of respondents (SHSMD/AAPL).

A quick word on words

It helps to be precise, because these terms often get blended together and they describe different problems. Leakage, strictly speaking, is when your own employed or affiliated physicians refer outside your network for care you could have provided (BD Emerson). Lost share is when independent physicians in your market split their referrals between you and your competitors. Declining or lapsed referrers are physicians who referred to you before and have slowed down or stopped. And outmigration is when patients leave your market altogether for care. Each calls for a different response, so naming the right one is the first step toward fixing it.

How to build a simple “who’s slipping” list

You don’t need a new platform to get started. Pick one service line and one clear measure, such as new cardiology patients by referring NPI. Then compare the right time periods. Looking at a rolling three months against the same three months a year earlier, physician by physician, gives you a much truer picture than month-over-month numbers, which mostly show noise (AbbaDox).

Before you look at the results, decide what counts as “declining.” For example, you might flag any physician who sent at least five patients last year and has dropped by 30% or more. Setting the threshold first keeps you honest. Then sort your referring physicians into four groups: growing, steady, declining and lapsed.

If you have access to market claims data, add it for the physicians at the top of your declining list. It will show whether their patients went to a competitor or whether their volume simply fell. And before anyone makes a pitch, ask why. A liaison visit that opens with “what changed?” often uncovers an access problem you can fix quickly.

What to do with the list

Your liaisons should take the top of the list: the high-value physicians whose referrals are falling. That’s the best possible use of their time.

The rest of the list is almost always longer than any field team can cover. That’s where scalable outreach earns its place. A list of NPIs can become a digital audience, so the declining and lapsed physicians your team can’t visit still hear from you between visits, with practical messages about new specialists, faster access and how to refer. We’ll explain how that works later in this series.

In the next post, we’ll look at how most teams segment referring physicians into loyalists, splitters and nevers, and who tends to get left out when time is short.

Already know which physicians are slipping? Drop Kelley a note and she’ll walk you through how we turn a referral list into a targeted campaign that reaches every physician on it.

Q&A: Do You Know Which Physicians Stopped Referring to You?

Why focus on physicians who have stopped referring?

They are often the least expensive volume to win back. The relationship already exists, and something specific changed it, whether that is access inside your walls or a payer or competitor shift outside them.

Why can't our own systems show the full picture?

Internal data shows the referrals that arrived, and only as reliably as the referring provider field is filled in. It can't show where other patients went or which physicians have never referred to you.

How current is market claims data?

It runs behind. In one large dataset, more than 75% of open claim events were available within three weeks, compared with 17 weeks for closed claims. Treat it as directional and check it against your own volumes.

What's the simplest way to spot declining referrers?

Compare a rolling three months against the same three months a year earlier by referring NPI, set your decline threshold before you look, and sort physicians into growing, steady, declining and lapsed.