The Hidden Cost of a 15-Minute Screening Call in Healthcare

Your recruiter just wrapped up a screening call. Ten minutes to schedule it, fifteen minutes on the phone, five minutes of notes, another five minutes updating the system and sending follow-up emails. A half-hour of recruiter time, gone.

But that's what your calendar shows, isn't it? Fifteen minutes. A quick call. A box ticked.

In a typical healthcare organisation hiring 50 people a month, that arithmetic error costs around £100,000 a year. Not in isolation—screening calls are a symptom of a deeper problem. The real cost emerges in the things that don't happen while your recruiter is on the phone: the relationships that aren't built, the employer brand that isn't reinforced, the workforce pipeline that isn't managed. And in healthcare, where vacancies compound into overtime, burnout, and attrition, the downstream cost of slow screening is far steeper than any budget line admits.

This article walks through the actual numbers. Not to convince you that manual screening is inefficient—you already know it is. But to give you the evidence you need to make the internal case for change.

The Real Maths of a Screening Call

A screening call is not fifteen minutes. Here's what it actually costs:

Scale this across a typical healthcare hiring operation. A trust or care provider recruiting 50 people per month operates at roughly a 4:1 screening-to-hire ratio—meaning 200 screening calls per month. At 35–45 minutes per call, that's 116–150 hours of recruiter time every month spent on screening alone.

A typical UK recruiter costs between £30,000 and £35,000 annually in salary, plus on-costs. That's roughly £18–21 per hour. Applied to your monthly screening volume:

116–150 hours × £18–21/hour = £2,088–£3,150 per month in direct recruiter labour on screening alone. Annual cost: £25,000–£37,800.

For a medium-sized healthcare employer with multiple recruiters or a recruiting team, this quickly becomes a six-figure problem. And that's before you account for what else your recruiting team could be doing with those hours.

The Healthcare Multiplier

Healthcare is not a standard hiring environment. Your screening process carries additional hidden costs that generic recruitment cost models don't capture.

• Compliance and verification overhead. Every hire in healthcare requires DBS clearance and professional registration checks. These aren't quick. A candidate may pass initial screening but drop out during the 2–3 week verification window—particularly if they've accepted another offer. Manual screening that moves slowly creates a funnel that leaks candidates at the verification stage. The result: another round of screening for a replacement candidate, and a role that stays open longer than it needs to.
• Out-of-hours scheduling friction. Care workers, nurses, support staff, and allied health professionals often cannot take calls during standard working hours. A candidate available for a call at 5pm, or on a Saturday morning, requires your recruiter to be flexible. Missed availability windows mean rescheduling, which means more emails, more coordination, and higher drop-off rates. Each rescheduled call adds another 10–15 minutes of friction.
• Audit and compliance documentation. Healthcare employers operate under heightened scrutiny. You need to demonstrate that hiring decisions are fair, defensible, and free from bias. Manual screening—notes scrawled during calls, decisions made in real-time—creates an audit trail that is hard to defend and harder to learn from.
• The cost of a slow process. In healthcare, slow screening doesn't just waste recruiter time. It costs candidates. A nurse offered a job at two hospitals will take the one that moves faster. A care worker will accept the role that doesn't require five rescheduled calls. In a tight labour market—which healthcare is—a slow process is a candidate loss process.

The Downstream Cost of Getting It Wrong

The real cost of inefficient screening is not recruiter time. It's what happens after.

A role stays unfilled 2–3 weeks longer than it needs to. That's 2–3 weeks of overtime. That's 2–3 weeks of agency staff at 50% premium rates. That's 2–3 weeks of existing team members working extra hours, managing workload that was supposed to be split between two people.

The NHS spends approximately £2.4 billion annually on agency staff—more than double the pre-pandemic level. A significant portion of that spend is driven by slow recruitment and vacancies that take too long to fill.

But there's a deeper cost still. Chronic understaffing—roles staying open, vacancies creating persistent overtime—drives the burnout that leads to attrition. NHS England data shows that 30% of clinicians plan to leave their current role within 1–3 years, and workload pressure is cited as a primary driver. Doctor attrition costs the NHS £1.6–2.4 billion annually in training replacement staff, lost productivity, and the cascading effect of further vacancies.

The chain is direct: slow screening → slow hiring → prolonged vacancy → overtime and agency spend → staff burnout and attrition → more vacancies → more agency spend. If faster screening fills a role 2–3 weeks earlier, you're not just saving recruiter time. You're breaking that chain.

What the ROI Actually Looks Like

Let's translate this into a concrete example using real data.

Libertatem, a healthcare staffing provider, implemented AI-powered screening and saw dramatic results: 73% reduction in screening time, with the ability to run 150+ simultaneous interviews overnight. Before automation, their recruiting team could manage 50 interviews in a typical week. After, they could process that volume overnight. The screening workload that previously required a team member's full attention for a week now happens while they sleep.

Applied to your operation, here's what that looks like:

Annual saving on screening labour alone: £23,532.

But this doesn't capture the full ROI. When you reduce screening time by 80%, you also:

• Reduce time-to-hire by 2–3 weeks on average, which cuts agency spend by 15–20% per role filled
• Reduce candidate drop-off during screening, because candidates are contacted faster and interviews are available at times that suit them
• Improve quality of hire, because consistent, structured screening eliminates bias and ensures every candidate is assessed against the same criteria
• Free recruiter capacity, which can now be directed toward relationship-building, employer branding, and workforce planning—the activities that actually build sustainable pipelines

Research from Indeed and Bullhorn shows that automation adopters fill 64% more jobs per recruiter. If your team currently fills 50 roles per month, that same team could fill 82 roles per month with the same overhead cost. Or equivalently, you could fill 50 roles with a 30% smaller recruiting team.

How to Calculate Your Own Screening Cost

Don't take our numbers as your numbers. Here's how to calculate the true cost of screening in your organisation:

Step 1 — Monthly screening volume

Monthly hires × screening-to-hire ratio = monthly screening calls

For example: 50 hires/month × 4:1 ratio = 200 screening calls/month

Step 2 — Total recruiter time

Monthly screening calls × 40 minutes ÷ 60 = hours/month

For example: 200 calls × 40 mins = 8,000 minutes = 133 hours/month

Step 3 — Direct cost

Total screening hours × recruiter hourly rate = monthly screening cost

For example: 133 hours × £18.50/hour = £2,461/month

Step 4 — Project the saving

Monthly cost × 0.80 = monthly saving from 80% reduction

For example: £2,461 × 80% = £1,969/month or £23,628 annually

This doesn't include the downstream savings from faster hiring (reduced agency spend, reduced overtime, improved retention).

Use Lily's ROI calculator to plug in your specific hiring volume, team size, and costs. You'll see the exact number for your trust or organisation.

The Fairness Dividend

Speed is not the only argument for rethinking manual screening. There's also fairness.

Manual screening is inconsistent by design. Different recruiters conduct calls differently. Notes are subjective. Some candidates are asked about specific competencies; others are asked about entirely different things. A candidate interviewed on a Monday morning gets a different experience than one interviewed on a Friday afternoon. Unconscious bias—whether based on accent, background, or interview timing—creeps in.

Automated screening uses the same questions for every candidate, at a time that suits them, scored against consistent criteria. In healthcare—where the workforce is highly diverse and the stakes of a bad hire are profound—consistency matters. A clinician who makes a mistake costs lives. Support staff who aren't properly matched to their role increase patient risk and team burnout. Getting this right is not a luxury.

An audit trail of every screening interaction also strengthens your compliance posture. In the era of the EU AI Act and increasing scrutiny of algorithmic hiring, the ability to demonstrate that your screening process is fair, transparent, and defensible is becoming a business requirement, not an option.

Conclusion: The Case for Change

An 80% reduction in screening time is not a stretch—it's what Libertatem achieved. It's what hundreds of healthcare employers have achieved. The question is not whether to change. The question is how much longer you can afford not to.

A 15-minute screening call costs 35–45 minutes of recruiter time and £8,000–£10,000 per month for a typical healthcare hiring operation. But that's the smallest part of the cost.

The real cost is in the vacancy that stays open three weeks longer than it needs to. The cost is the overtime that grinds your existing team down. The cost is the nurse who was offered a job somewhere else because your process moved too slowly. The cost is the burnout and attrition that follows. The cost is the next round of vacancies that follow that attrition.

Every healthcare organisation has the same constraint: you cannot reduce the number of roles you need to fill. But you can dramatically reduce the time and cost it takes to fill them. The data shows that screening is where the biggest lever sits.