In oncology and clinical trial coordination, you know the odds

Only 3%

of adults with cancer participate in clinical trials

80%

of US clinical trials fail to meet recruitment timelines

1 in 4

cancer research trials falter due to low patient recruitment

The frustration of recruiting patients for cancer research begins with data — and ends with AI.

How can AI help to improve the cancer clinical trial recruitment process?

There is good news. An artificial intelligence-based clinical trial recruitment support system can help you change the game by:

natural language processing

Using natural language processing to understand both structured and unstructured patient data

Automating manual steps

Automating manual steps to help increase the speed of trial identification

helping find viable trial options

Helping find viable trial options for each patient

enabling a boost in clinical trial enrollment

Enabling a boost in clinical trial enrollment to meet recruitment goals and support the advancement of cancer treatments

learning and improving over time

Learning and improving over time

increasing efficiency

Increasing efficiency through connections across multidimensional, siloed sources

You know the odds when it comes to patient recruitment for clinical trials — we’re trying to improve them.

Browse these additional resources

Matchmaking for clinical trials: The Achilles’ heel of cancer research

Leveraging AI to advance clinical trials

Matching patients to clinical trials is challenging

Let’s talk about how AI can help your organization with clinical trial recruitment.

Challenge the odds

Join other forward-thinking organizations as we work together to transform the clinical trial recruitment process – with IBM Watson for Clinical Trial Matching and the power of artificial intelligence.

Watson avatar

How well does Watson for Clinical Trial Matching perform?

78%

reduction in patient-trial match screening time

94%

automatic omission of non-matching patients

84%

increase in average monthly trial enrollment after 18 months

What is Watson for Clinical Trial Matching?

Using natural language processing and the analysis of unstructured and structured data to analyze both patient records and trial inclusion/exclusion criteria, Watson for Clinical Trial Matching enables oncologists to quickly review a list of potential trials for every patient, while supporting the clinical trial office in reaching enrollment numbers.

Customer stories

Highlands Oncology Group used Watson for Clinical Trial Matching to quickly find clinical trials for which their patients may be eligible.

A perspective from Novartis on how Watson for Clinical Trial Matching provides real insights from unstructured data.

Mayo Clinic’s clinical trial matching project sees higher enrollment in breast cancer trials.

In the news

Mayo Clinic sees 80% increase in breast cancer clinical trial enrollment after IBM Watson deployment.

Mayo Clinic CIO on AI: This stuff is really real.

Podcast: A.I. burning up…physicians burning out…and doctoring is transforming fast.

Let’s talk about how Watson for Clinical Trial Matching can help your organization.

1 National Cancer Clinical Trials System for the 21st Century: Reinvigorating the NCI Cooperative Group Program,” ncbi.nlm.nih.gov/books/NBK220370.

2 Daniel Garrun, "Clinical trial delays: America’s patient recruitment dilemma," Drug Development-Technology, July 18, 2012, https://www.drugdevelopment-technology.com/features/featureclinical-trial-patient-recruitment/.

3 Go RS, Meyer CM, et al., Journal of Clinical Oncology 2010, 28:15s (suppl; abstr 6069).

4 T. Haddad, J.  Helgeson, et.al., “Impact of a cognitive computing clinical trial matching system in an ambulatory oncology practice,” Presentation at ASCO 2018.