Last updated: August 28, 2026
Ben Argeband, Founder & CEO of Heartbeat.ai — practical guidance, minimal fluff.
Locum tenens recruiting has a specific friction: you’re calling between cases, through clinic front desks, and often into private-practice owners who don’t answer unknown numbers. Coverage windows are short, so stale contact data doesn’t just slow you down—it costs submittals and burns recruiter hours.
This page covers how to build and use locum tenens physician contact data for speed: target the right physicians, prioritize the best contacts first, run a 48-hour sprint, then refresh the segments that go cold.
What’s on this page:
Who this is for
This is for locum tenens recruiters and staffing agencies that need to reach physicians fast—especially when juggling multiple specialties, multiple states, and urgent coverage gaps.
- Agency owners focused on speed-to-submittal and margin.
- Recruiters who need more conversations per calling block, not just more dials.
- Ops leaders who need a repeatable workflow with suppression and opt-out handling built in.
Quick Answer
- Core Answer
- Build a targeted list with a direct mobile number and personal email, prioritize the highest-probability contacts first, sprint outreach for 48 hours, then refresh segments that stop responding.
- Typical Range
- Outreach patterns vary widely by specialty and timing, but many recruiting teams see connect rates in the low double digits per 100 dials and one placement for roughly every 100–200 outreach attempts. Treat these as rough benchmarks, not guarantees.
- Best For
- Locum tenens recruiters and staffing agencies that need to reach physicians fast.
Compliance & Safety
This method is for legitimate recruiting outreach only. Respect candidate privacy, opt-out requests, and local data laws. Heartbeat does not provide medical, legal, or tax advice.
Framework: Target → Rank → Reach → Refresh
Target: define who can actually say yes to the assignment—license, setting, decision-maker access—not just who shares a specialty label.
Rank: prioritize the records most likely to connect today so your first calling block produces conversations instead of voicemails.
Reach: use a channel mix that matches physician behavior (call plus email), with clean suppression and opt-out handling from the start.
Refresh: treat contact data as a living asset. Locums cycles move fast; when you see non-response clusters, refresh the segment instead of dialing harder.
Step-by-step method
Step 1: Define “coverage-ready” targeting
Start with the filters that actually determine whether a physician can take the assignment:
- Specialty and subspecialty aligned to the coverage need.
- License state(s) required for the start date.
- Practice setting (hospital-employed vs. private practice), which changes who answers and when.
- Decision-maker access—physicians who are owners or partners tend to give a faster yes or no when speed matters. This is a recruiting workflow note, not tax or legal advice.
Filter recipe: “Urgent coverage” segment
- Must match: specialty/subspecialty plus license state(s)
- Prefer: private practice or practice-owner indicator when speed matters
- Must include contact modes: direct mobile number plus personal email
- Must include controls: consent-aware outreach policy plus opt-out suppression flag
- Must include ops fields: last-refreshed date (or refresh trigger), source/verification notes
Reality check: many locum physicians aren’t active on LinkedIn. A sourcing plan that starts and ends there will miss reachable candidates who respond better to a direct call or email.
Required fields (for handoff and extraction)
| Field | Why it matters | Required? |
|---|---|---|
| Physician name | Identity matching and outreach personalization | Must |
| Specialty / subspecialty | Coverage fit and qualification speed | Must |
| License state(s) | Start-date feasibility | Must |
| Direct mobile number | Fastest path to a real conversation | Must |
| Personal email | After-hours review and reply path | Must |
| Opt-out / suppression flag | Prevents repeat outreach to opted-out physicians | Must |
| Last refreshed date (or refresh trigger) | Controls decay and guides refresh decisions | Must |
| Practice setting | Predicts call windows and gatekeeper friction | Optional |
| Practice owner/decision-maker indicator | Faster yes/no when the physician controls schedule decisions | Optional |
| Notes (source/verification) | Explains why a record is trusted and when to refresh | Optional |
Step 2: Choose contact modes that match physician reality
Aim for at least two reliable channels per physician:
- Direct mobile number for calls (and text only where your compliance policy allows it).
- Personal email for after-hours review and a clean reply path.
Clinic lines and hospital switchboards add transfer friction. Direct-to-physician channels cut that out and shorten time-to-qualification.
Call windows worth testing by segment: early morning before clinic hours, lunch, late afternoon after clinic, and early evening. The best window depends on specialty and setting, so log answer rate by time block rather than assuming one schedule works everywhere.
Step 3: Rank the list for speed-to-connect
When coverage is urgent, list size matters less than what happens in the first calling block. Heartbeat.ai supports workflows that prioritize ranked mobile numbers by answer probability, so you start with contacts most likely to pick up.
Ranking helps speed, but it won’t fix bad targeting. If the license state or setting is wrong, you’ll still burn attempts on people who can’t take the job.
Step 4: Run a 48-hour outreach sprint
Don’t plan around “records exported.” Plan around what your team can execute inside fixed calling blocks. The goal is to turn attempts into human conversations fast enough to submit before the job closes.
- Day 1 AM: Call block #1 to the top-ranked segment; send a short follow-up email to voicemail outcomes.
- Day 1 PM: Call block #2 to the next ranked segment; handle replies and qualify availability and license fit.
- Day 2 AM: Re-attempt the “almost” segment (voicemail plus opened email plus partial replies) and expand to the next segment.
- Day 2 PM: Refresh the non-response cluster and re-run the top segment with updated contact points.
Step 5: Refresh after non-response clusters
When a slice of your list never connects or a domain keeps bouncing, that’s a segment problem, not a dialing problem. Refresh and re-rank before scaling volume.
Refresh triggers
- Bounce cluster: multiple bounces from the same domain or segment in a short window.
- Non-connect cluster: repeated non-connect outcomes concentrated in one segment label.
- Low answer rate: calls connect but rarely reach a human.
- Opt-out spike: opt-outs concentrated in one message variant or segment.
- Role mismatch: repeated “not my specialty” or “not licensed there” responses from a segment.
- If emails bounce in a cluster, pause that domain segment and refresh emails before sending more.
- If calls connect but never reach a human, adjust call windows and prioritize mobile over office lines.
- If you get opt-outs, suppress immediately across every channel.
48-Hour Timeline
Use case: urgent locum tenens coverage where the client wants names today and submittals tomorrow.
| Time window | Action | Output you should have |
|---|---|---|
| Hour 0–2 | Target: specialty, license state(s), setting; pull direct mobile number and personal email; apply opt-out suppression. | Ranked call sheet plus compliant email list |
| Hour 2–6 | Reach: call block #1; send follow-up email to voicemail outcomes; log outcomes by segment label. | Conversation notes plus a “hot” shortlist |
| Hour 6–24 | Reach: call block #2; handle replies; qualify availability, license fit, and interest; prep submittals. | Qualified candidates ready for submission |
| Hour 24–36 | Refresh: identify non-response clusters; refresh contact points; re-rank; re-run top segment. | Updated segment that avoids repeated dead ends |
| Hour 36–48 | Close: second-touch outreach to the “almost” segment; confirm availability; finalize submissions. | Submittals plus a documented outreach trail |
Weighted checklist
Score a segment before you sprint it. This prevents burning recruiter hours on weak segments and forces a refresh plan up front.
| Checklist item | Why it matters in locum tenens | Score (0–2) |
|---|---|---|
| License state match (or verified path to eligibility) | Prevents “interested but can’t start” delays | 0–2 |
| Direct mobile number present | Reduces gatekeeper friction; improves speed-to-conversation | 0–2 |
| Personal email present | After-hours review; backup channel when calls miss | 0–2 |
| Contact is line tested | Reduces wasted attempts on dead lines | 0–2 |
| Practice owner/decision-maker indicator | Faster yes/no when the physician controls schedule decisions | 0–2 |
| Suppression and opt-out handling ready | Prevents repeat outreach to opted-out physicians; protects deliverability | 0–2 |
| Refresh trigger defined for non-response clusters | Locums cycles move fast; stale segments waste the sprint | 0–2 |
Interpretation: if you score low on direct mobile number, personal email, or suppression, don’t sprint that segment yet. Fix the inputs first.
Outreach templates
Keep it short and easy to reply to. Always honor consent and opt-out requests.
Template 1 — Call opener (20 seconds)
- You: “Dr. [Last Name]? This is [Name] with [Agency]. Did I catch you at an okay time for 20 seconds?”
- You: “I’m staffing a short-term [Specialty] coverage need in [State/City]. Are you open to hearing details, or should I send a quick email?”
- If no: “No problem—what’s the best email, and should I avoid calling again?”
Template 2 — Voicemail plus immediate email pairing
- Voicemail: “Dr. [Last Name], this is [Name] with [Agency]. I’m calling about a short-term [Specialty] coverage need in [State]. I’ll email details—reply ‘yes’ if you want the rate and dates, or ‘no’ and I’ll close it out.”
Email subject: “[State] [Specialty] locum coverage — quick yes/no”
Email body: “Dr. [Last Name]—I just left a voicemail. Are you open to a [dates] locum assignment in [facility type] in [State]? Reply ‘yes’ for details, or ‘no’ and I’ll opt you out.”
Template 3 — Second touch (non-response)
Subject: “Closing the loop: [State] coverage”
Body: “Dr. [Last Name]—I don’t want to spam you. Should I (1) send details, (2) check back next month, or (3) opt you out? Reply 1/2/3.”
Common pitfalls
- Exporting a static list and calling it done. Locums cycles move fast; if you don’t plan for refresh, you’re planning for wasted attempts.
- Over-dialing the wrong segment. If the license state or setting is wrong, no amount of activity fixes it.
- Ignoring suppression and opt-out. Suppress immediately across channels to protect deliverability and reputation.
- Measuring activity instead of progress. Dials don’t equal conversations; conversations don’t equal submissions.
- Single-channel outreach. Calls miss and emails bounce; you need both a direct mobile number and a personal email for speed.
If your team keeps hitting dead-end dials, that’s usually a targeting, ranking, or refresh problem—not a motivation problem. Fix the segment before adding more hours.
How to improve results
Buying static lists is risky because contact data decays. A more durable approach combines access, refresh, verification, and suppression. If your workflow is missing any of these four, it usually shows up in slower submittals and recruiter burnout.
Metric definitions
- Connect Rate = connected calls / total dials (per 100 dials).
- Answer Rate = human answers / connected calls (per 100 connected calls).
- Deliverability Rate = delivered emails / sent emails (per 100 sent emails).
- Bounce Rate = bounced emails / sent emails (per 100 sent emails).
- Reply Rate = replies / delivered emails (per 100 delivered emails).
- Placement-per-attempt = placements / total outreach attempts (calls plus emails plus compliant texts if used, per 100 attempts).
Line tested means a recent validation step confirming the line routes and is callable. It reduces wasted attempts but doesn’t guarantee a specific person will answer.
Measurement plan
Run outreach in labeled segments and log outcomes at the segment level, not just per recruiter.
- Segment labels: specialty, license state, setting, owner/decision-maker indicator, contact modes present.
- Call outcomes: connected vs. not connected; human answer vs. non-human; interested vs. not; opt-out.
- Email outcomes: delivered vs. bounced; replies; opt-outs.
- Refresh trigger: when a segment shows a non-response cluster, refresh it before scaling volume.
Suppression operations checklist
- Single source of truth: store opt-out status in one system your team actually uses (ATS/CRM), not personal spreadsheets.
- Cross-channel suppression: if a physician opts out by email, suppress calls too (and vice versa) unless they specify otherwise.
- Import hygiene: when importing new records, match and apply existing suppression before outreach starts.
- Message variant tracking: log which template was used when an opt-out happens so you can stop the pattern.
- Audit cadence: periodically sample recent outreach to confirm suppressed records aren’t being contacted.
Segment scorecard
- Segment: [Specialty] | [State] | [Setting] | [Owner flag] | [Contact modes]
- Calls: dials ___ | connected ___ | human answers ___ | Connect Rate ___ | Answer Rate ___
- Emails: sent ___ | delivered ___ | bounced ___ | replies ___ | Deliverability Rate ___ | Bounce Rate ___ | Reply Rate ___
- Outcome: interested ___ | submitted ___ | placed ___ | Placement-per-attempt ___
Legal and ethical use
Use physician contact data for legitimate recruiting outreach tied to real opportunities. Maintain clear internal rules for:
- Consent and opt-out: honor opt-out immediately and suppress across channels.
- Data minimization: store only what you need for the recruiting workflow and compliance.
- Respectful cadence: avoid repeated attempts that cross into harassment.
- Local data laws: obligations vary by jurisdiction; align with counsel. Heartbeat.ai does not provide legal counsel.
Evidence and trust notes
For provider identity anchoring and deduplication, the National Provider Identifier (NPI) is a common reference point used across healthcare data workflows.
For how Heartbeat.ai approaches sourcing quality, verification, and suppression, see our trust methodology for recruiting data.
To review what’s included in Heartbeat.ai datasets and how they’re structured for recruiting workflows, see what data Heartbeat.ai provides.
FAQs
What should locum tenens physician contact data include?
At minimum: physician identity (often anchored to NPI), specialty, license state(s), a direct mobile number, a personal email, and suppression/opt-out status. Without suppression, you’ll create compliance and deliverability problems.
How often should I refresh locums contact data?
Refresh when you see non-response clusters (repeated non-connects or bounces) and whenever your coverage window is tight. Locums cycles move fast, so stale data shows up quickly in missed conversations.
How do I measure whether my contact data is working?
Track Connect Rate (connected calls / total dials, per 100 dials) and placement-per-attempt (placements / total outreach attempts, per 100 attempts). Compare by segment so you know what to refresh.
Is it okay to contact physicians who aren’t active on LinkedIn?
Yes—many locum physicians aren’t on LinkedIn. Use legitimate recruiting outreach, respect privacy, and honor opt-out requests. Build your workflow around direct channels with suppression in place.
Where can I start if I need data access quickly?
If you need to move today, you can start free search & preview data and expand access as your coverage needs scale.
Next steps
- Need to move fast? start free search & preview data and build a ranked call sheet for your next coverage sprint.
- Want broader locums execution guidance? Read the locum tenens sourcing playbook.
- Want to understand fields and coverage? Review Heartbeat.ai data coverage and fields.
- If you’re evaluating access levels, see pricing and then get my data access.
Related reading: if you’re building a refresh policy your team can follow, see provider data refresh cadence.
Pillar: for the full set of provider contact data resources, see provider contact data.
About the Author
Ben Argeband is the Founder and CEO of Swordfish.ai and Heartbeat.ai. With deep expertise in data and SaaS, he has built two successful platforms trusted by over 50,000 sales and recruitment professionals. Ben’s mission is to help teams find direct contact information for hard-to-reach professionals and decision-makers, providing the shortest route to their next win. Connect with Ben on LinkedIn.