Patient Identification

& Site Selection

Identify patients for even the toughest clinical trial protocols utilizing a secure web-based HIPAA-compliant technology. Streamline protocol feasibility and site selection to decrease the number of under-performing sites, study budgets, and timelines while reducing the administrative burden for sites.

Increase clinical trial enrollment & successful site selection

Our unique platform de-identifies a population’s digital health records to locate all appropriate subjects, even against the most restrictive of protocol criteria. In a matter of minutes, Patient iP can evaluate thousands of patient records and create a unique Population Disparity GraphTM utilizing sophisticated visual analytics and our proprietary algorithms to clearly and accurately display all patients suitable for a trial.

Linking All Key
Stakeholder Groups

By combining innovative HIPAA-Compliant technology solutions with good clinical practice, sites and sponsors are seamlessly connected.  De-identified patient data may be evaluated and aggregated to make objective study decisions and site selections.

Study Sites

Clinical sites, Hospitals, and SMOs benefit from technology that automates patient matching with precision, increases efficiency and enables greater patient engagement.

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Study Sponsors

From big pharma to virtual biotech to CROs, all sponsors benefit from expedited site selection based upon objective, real-time data and aggregated big data visibility.

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Want to find
out more?

Our video shows how Patient IP connects stakeholders in a meaningful way, creating a true link that benefits patients, study sites, and sponsors.

February 14, 2017 in News

Rochester Colon & Rectal Surgeons Adopts Patient identification Platform

Technology Enables Rapid Clinical Trial Matching, Supports Population Health Initiatives Rochester, NY – February 15, 2017 – Patient identification Platform (Patient iP) today announced that Rochester Colon & Rectal Surgeons,…

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October 25, 2016 in News

Disrupting Traditional Patient Recruitment Via Identification Analytics

Over 80 percent of clinical trials today fail to meet their stated timelines. Low recruitment/patient enrollment and retention from under-performing sites stalls clinical trials and is costly on a variety…

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Winner of the 2016 Microsoft Health Innovation Award

The Patient identification Platform (Patient iP) automates the historically time-intensive process of clinical trial matching for subject participation. The Platform securely de-identifies and aggregates electronic health record data so that clinical trial protocols can be automatically processed, rapidly identifying where and how many patients match the criteria requirements.