Clinical trial cost calculator

Clinical trial cost calculator

Understand your clinical trials

Are your clinical trials risky? Are costs running away?

It’s very tricky to estimate clinical trial costs before a trial is run.

Try our free cost calculator. This is a regression model for clinical trials cost breakdowns, trained on real clinical trial data.

Trial is for condition
Phase
Vaccine trial?
Country
Sample size
Number of interventions
Click button to estimate cost in dollars

Do you want to calculate clinical trial cost directly from the protocol?

The clinical trial risk tool will let you upload a PDF protocol and will directly identify some risk and cost features.

How did we train this cost calculator?

Unlike other clinical trial cost calculators you may find online, our clinical trial cost models are regression models trained on past trials. You can download the training dataset here - the original source is here.

Here’s a preview of our training data that we used to develop our regression models:

IndicationTechnologyNCT#Tech IIEnrollmentTrial PhaseTotal CostPer Patient Cost ($PP)Source for this DataName of the Source
Advanced Myeloid Malignancybiologic drug-30Phase 1$328,000.00$10,933docSEC agreements
Blood Cancerbiologic drugNCT034833249Phase 1$5,000,000.00$555,556docCIRM
Blood Cancerbiologic drugNCT0392593524Phase 1$6,192,579.00$258,024docCIRM
B cell cancers, Leukemiabiologic drugNCT03088878156Phase 1/2$18,292,674.00$117,261docCIRM
Blood Cancerbiologic drugNCT0222268826Phase 1$4,179,598.00$160,754docCIRM
Colon Cancerbiologic drugNCT02953782112Phase 1/2$10,234,048.00$91,375docCIRM
Leukemia, Acute Myeloid (AML)biologic drugNCT0324847996Phase 1$5,000,000.00$52,083docCIRM
Blood Cancer, Solid Tumorsbiologic drugNCT0221640988Phase 1$6,505,568.00$73,927docCIRM
Breast Cancerbiologic drugNCT00781612720Phase 3-$104,186.49https://docKEI FOIA Response/University of Colorad
Stage IV Melanomacell therapyNCT0043898411Phase 1$936,164.00$85,106docFOIA’d NIH grants

Why use natural language processing for clinical trial cost calculations?

The Clinical Trial Risk Tool:

We originally developed the Clinical Trial Risk Tool to estimate costs of Tuberculosis and HIV trials. In 2024, we extended the scope of our clinical trial cost software to cover other disease indications including COVID, Cystic fibrosis, Enteric and diarrheal diseases clinical trials cost models, Influenza clinical trials cost modelling, Malaria clinical trials cost models, Motor neurone disease, Multiple sclerosis, Neglected tropical diseases clinical trials cost modelling, Oncology, and Polio clinical trials cost modelling.

In addition to cost estimation, we’re looking at RCT risk assessment, informativeness and RCT complexity.

Pain points running a clinical trial

When you’re planning a clinical trial, you have to write the protocol.

This is a PDF document which is 200 pages long.

It says what drug you are testing, who will participate in your trial, over what time period, and what they will be required to do. It may also say how you will manufacture the drug, how it will be delivered, where the trial will take place, and how you will analyse the data.

If you want an organisation to fund your trial (a sponsor), they will need to read the protocol and estimate the cost, and be satisfied that the trial is not too risky.

To complete this risk assessment and cost assessment, you will need experts in multiple fields to read and assess the protocol. This is subjective (different people might come to different conclusions) and it’s slow.

Fast Data Science’s value proposition for the Clinical Trial Risk Tool

The Clinical Trial Risk Tool unifies the technical knowledge in the protocol (medical or statistical information) with the business knowledge (finances, risk management) for clinical trial cost analysis.

Imagine you could have a tool which could read your protocols and estimate the cost and risk, immediately!

If you work for the trial sponsor, this works along with other clinical trial budget software to triage the protocols that you receive from investigators, identifying who’s worth pursuing.

In a pharmaceutical company, this helps your business plan cash flow and quantify and diversify risk.

If you are investing in pharmaceutical development, this helps you understand your exposure to risk

If you’re a CRO (contract research organisation, i.e. the company that is contracted to run the trials), you can prepare quotes and cost estimates for your clients (pharma companies) quickly and easily.

See also

Why Effective Risk Management is Critical in Clinical Trials

Why Effective Risk Management is Critical in Clinical Trials

This post originally appeared on Fast Data Science’s blog on LinkedIn. Clinical trials are essential for medical advancement but are not without risk. Delays, budget overruns, and compliance issues can derail the most carefully planned studies. Proactive risk management is the key to ensuring patient safety, maintaining regulatory compliance, and achieving successful trial outcomes. In this article we’ll explore the key risks in clinical trials, how AI-powered tools like the Clinical Trial Risk Tool can help mitigate these risks, and practical strategies for ongoing risk monitoring.

Optimise Your Clinical Trial Workflow Then Save Time and Money

Optimise Your Clinical Trial Workflow Then Save Time and Money

This post originally appeared on Fast Data Science’s blog on LinkedIn. Discover how the Clinical Trial Risk Tool helps optimise clinical trial workflows with accurate risk and cost analysis. Save time and reduce costs. Why Workflow Efficiency Matters in Clinical Trials Running a clinical trial is a complex and expensive process. Delays, unexpected costs, and inefficiencies can waste time and money, affecting trial outcomes and patient care. As trials become more complicated, workflow management is more important than ever.

Using Natural Language Processing in Healthcare

Using Natural Language Processing in Healthcare

This post originally appeared on Fast Data Science’s blog on LinkedIn. In today’s ever-evolving healthcare landscape, technology is crucial to improving patient care, streamlining processes, and enhancing outcomes. Natural Language Processing (NLP) is one such technology that is revolutionising the way healthcare organisations operate. For instance, NLP has been used to analyse patient feedback and identify trends in satisfaction levels, leading to targeted improvements in service quality. In this article, we will explore the role of NLP in healthcare, its benefits, and potential applications.