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Match cancer patients to clinical studies in real time.

Our Trial Navigator software solution eliminates inefficiencies at the point of care and in the research coordination workflow while providing complete transparency into its patient-trial recommendations.

Despite the strong pressure to match more patients to clinical trials, most hospitals’ research programs are still thwarted by a mostly manual process.

Lack of Diversity in Pre-Screening


Of hospitals seek to eliminate bias in pre-screening patients for clinical trials.

Can’t Match Enough Patients


Of hospitals want to increase the number of trials available for their patients.

Manual Processes are Slow

2 hours

On average, is how long it takes to identify relevant clinical trials for each patient.

Full Automation is Extremely Rare

Only 6%

Of care teams categorize their clinical trial matching process as mostly automated.

The Future of Clinical Trial Matching is Digital

By leveraging Inspirata’s proprietary and industry- leading AI/NLP technology*, our Trial Navigator software is solving the problem with clinical trial matching.

The Current Way

  • Most healthcare institutions match patients with clinical trials manually.
  • Automation is limited by the lack of structured and up-to-date data about patients and trials.

The Problem

  • The current matching process is labor intensive, time consuming, and prone to errors due to manual entry.
  • Only a small percentage of patients get pre-screened for clinical trials.

The Digital Future

  • Information feeds automatically and is presented intuitively, without breaking clinical workflows.
  • Powerful Al/NLP technology allows for matching in real time, even at the point of care.

Trial View Module

In the Trial View Module, research coordinators get immediate access to automatically generated cohorts of cancer patients potentially eligible for pre-screening.
  • See an automatically updated and imported list of your organization’s live clinical trials.

  • Review patients’ “Match Score” based on the patient records’ alignment with clinical trial inclusion / exclusion criteria.

  • Dig deeper into the data elements used to determine the trial match, removing any uncertainties.

  • Drag and drop eligible patients’ profiles to send them to administration for final approval.

*Users of EHRs other than Epic can access Trial Navigator as a stand-alone web application.

Point-of-Care Module

In the Point-of-Care Module, clinicians see a list of clinical trials matched to a cancer patient, automatically ranked by the patient records’ alignment with clinical trial eligibility criteria.
  • Automated ingestion and abstraction of patient data from EHR notes, pathology, radiology and genomic reports.

  • Minimum disruption to the point-of-care workflow where Epic users can see results directly within the EHR screen.*

  • Multiple filters allow clinicians to narrow and widen search criteria for most optimal matching results.

Use Existing Platforms:

  • The first clinical trial matching solution to be listed in the Epic Connection Hub (and its former App Market).

  • Standards-based integration with leading EHR, CTMS, AP/LIS and other clinical platforms.

  • Inaugural API Gold Partner in the Advarra Partner Network.

Understand the Decision:

  • Uncover which inclusion/exclusion criteria pass or fail for each patient trial match.

  • See how the system interprets inclusion/exclusion criteria and compare to the original wording from source documents.

  • Find and highlight sections of patient data in pathology reports or other clinical reports that corresponded to matched inclusion/exclusion criteria.

Ask Yourself:

  • Does my vendor have proprietary technology?

  • Does my vendor provide 24/7 technology support?

  • Does my vendor integrate with my current EHR?

  • Plus many more questions to consider that may affect your organization more than you know!

Trial Navigator in Action

  • See what researchers at one of Europe’s oldest hospitals, Guy’s and St. Thomas’ NHS Foundation Trust in London, found after studying Trial Navigator’s effectiveness.