IDS Case Study: Supporting Access to Clinical Trials

By Keiter Technologies

IDS Case Study: Supporting Access to Clinical Trials

How can machine learning be used in the medical field?

Data Science can help you achieve your business goals with tailored advice specific to your organization. Learn more about how Keiter Data Solutions solved a similar problem for one of our clients in the below case study.

Challenge and Opportunity

A client and large consumer products company and a health system wanted to create a new way to provide individuals with information about upcoming clinical trials.


Our Approach

  • The biggest barrier to success with medical research is finding the right number and quality of participants to take part in a clinical trial.
  • Using ML, our team developed a tool where anyone who searched about clinical trials would be directed to the health system’s portal about their trials.
  • This process involved extensive research on each of the clinical trial’s qualification standards and potential participant profiles.


The launch of the tool has increased clinical trial success by 50%.


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About the Author

Keiter Technologies

Keiter Technologies

Keiter Technologies focuses on serving businesses with their strategic technology needs through data science, cybersecurity, and IT audit and consulting.

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The information contained within this article is provided for informational purposes only and is current as of the date published. Online readers are advised not to act upon this information without seeking the service of a professional accountant, as this article is not a substitute for obtaining accounting, tax, or financial advice from a professional accountant.


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