Enrollment Operations

The Hidden Costs of Clinical Trial Enrollment Delays

Enrollment delay does more than move a timeline. It can consume operating capacity, create repeated pre-consent work, weaken candidate momentum, and reduce the value of activity already underway.

Not every delay begins in site operations. This article focuses on the measurable waiting time that can accumulate between inquiry, intake, preliminary prescreening, follow-up, and site handoff.

Clinical research professional working at a computer in a bright modern site office.

Evidence context

Why time matters in clinical development

A 2024 Tufts CSDD analysis used 645 launched drugs and 409 clinical-trial budgets to update two frequently repeated estimates about the economics of development time.

≈ $40K/day

Estimated direct daily cost to conduct Phase II and III clinical trials.

≈ $500K/day

Estimated value of a day of delayed prescription drug or biologic sales.

These are development-level industry estimates, not estimates of the cost attributable to a specific research site, a specific enrollment delay, or Consent2Randomize-supported activity. Source: Smith, DiMasi & Getz, 2024. View the PubMed record.

Cost map

Five ways enrollment delay can create cost

Clinical trial enrollment delays can create costs beyond a delayed enrollment milestone. Depending on the study, they may extend operating activity, consume site and coordinator capacity, generate repeated pre-consent work, weaken candidate momentum, and contribute to broader development delay. The economic impact varies by protocol, site, therapeutic area, and source of delay.

Study / sponsor level

Extended study operating time

When enrollment contributes to a longer study timeline, study activity may continue longer than planned. The financial effect depends on the protocol, phase, therapeutic area, and whether the enrollment delay changes the broader study timeline.

Site level

Consumed site capacity

Intake, outreach, preliminary prescreening, documentation, scheduling coordination, and status review all require time. Unresolved records can compete with coordinators’ clinical and protocol responsibilities.

Site level

Repeated pre-consent work

Incomplete information, missed contact, unclear ownership, and inconsistent handoffs can create repeated outreach, record review, clarification, and status checking before a candidate is ready for site review.

Candidate + site level

Candidate momentum loss

Long or unclear gaps between inquiry and the next defined step can make an interested candidate harder to reach or more likely to disengage. Not every disengagement is preventable, which is why disposition data matters.

Sponsor / development level

Downstream development delay

Enrollment is one contributor to clinical-development timing. When enrollment materially extends a trial, the economic effect can extend beyond site operations. That broader impact should not be attributed to a single site or workflow without evidence.

Operational contribution

Where avoidable delay can enter the pre-consent workflow

Site operations are only one part of enrollment performance, but they are one part a site can observe directly. Waiting time can accumulate when ownership is unclear, contact is delayed, required information is incomplete, follow-up has no defined cadence, or the handoff standard is inconsistent.

Stage 1

Referral / inquiry

Stage 2

Initial contact

Stage 3

Intake

Stage 4

Preliminary prescreen

Stage 5

Site handoff readiness

Where Consent2Randomize fits

Consent2Randomize works after a referral or patient inquiry reaches the site and before consent, supporting intake, preliminary prescreening, candidate follow-up, documentation, and structured handoff preparation. The research site retains clinical judgment, formal eligibility evaluation, screening, informed consent, protocol oversight, and randomization decisions.

Referral volume is only the start

What referral volume alone cannot tell you

A referral count shows activity. It does not show where time accumulated, whether records progressed consistently, or which candidates remain unresolved. Those questions require stage-level timestamps, statuses, and dispositions.

How many new inquiries received a documented first contact attempt?

How long did successful contact take?

How many records completed intake and site-approved preliminary prescreening?

Which records remain unresolved, and how old are they?

How long did records take to reach the site’s defined handoff-ready state?

Operational framework

The C2R Enrollment Friction Model™

C2R uses six friction categories to organize the operational conditions that can slow candidate progression before consent. The goal is not to label every delay as preventable, but to identify which part of the workflow deserves closer review.

Access

Can interested candidates enter the intake workflow without unnecessary friction?

Intake

Is required information captured consistently and routed to the next step?

Eligibility information

Are site-approved preliminary questions organized clearly for site review?

Capacity

Is coordinator bandwidth being consumed by work that can be standardized earlier?

Workflow

Are stage ownership, statuses, handoffs, and escalation rules defined?

Follow-up

Are outreach cadence, attempt limits, and dispositions consistent?

Enrollment diagnostic

Where is enrollment slowing down?

Use the Enrollment Bottleneck Diagnostic to review where operational friction may be occurring before deciding what type of intervention makes sense.

Measurement

Which metrics can reveal pre-consent delay?

Sites do not need a universal industry target for every interval. They need consistent definitions, timestamps, statuses, and local baselines that reveal where waiting time is accumulating.

Time to first contact attempt

How long a new inquiry waits before the first documented outreach attempt.

Time to successful contact

How long it takes to reach the candidate when contact is required.

Intake-to-prescreening interval

Elapsed time from usable intake information to completion of site-approved preliminary questions.

Follow-up attempts to disposition

How much repeated outreach is required before the record receives a defined pre-consent status.

Age of unresolved records

How long candidate records remain open without a documented next step or disposition.

Time to handoff readiness

Elapsed time until the site has the information required for its defined pre-consent handoff.

Use your own numbers

Estimate the economics using your site’s numbers

Industry averages cannot tell a site what its own enrollment opportunity looks like. Use the Clinical Trial Enrollment Revenue Calculator to model screening, randomization, and coordinator-capacity assumptions with your own inputs.

Evidence

Sources & further reading

The development-cost figures and broader context on enrollment variability and site burden are grounded in peer-reviewed Tufts CSDD research. C2R’s workflow analysis applies that context specifically to measurable pre-consent operations at the research-site level.

Common questions

Frequently Asked Questions

Concise answers to questions research-site teams may need to resolve when evaluating enrollment delay.

Review your workflow

Review your enrollment workflow

If referrals are arriving but candidates are stalling before site review, we can look at intake, preliminary prescreening, follow-up, documentation, and handoff ownership to identify where operational friction may be accumulating.