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.
& Site Selection
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
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.
Patient identification Platform and Aprima Announce Strategic Partnership to Improve Clinical Trial Recruitment Efforts
Rochester, NY – July 25, 2017 – Patient identification Platform (Patient iP), an emerging health data solutions provider to the pharmaceutical and CRO industries, today announced a new partnership with…Read More
Patient identification Platform Data Network Surpasses 14 Million Unique Patients Lives, Achieving Significant Growth Milestone
Rochester, NY – July 11, 2017 – Patient identification Platform (Patient iP), an emerging health data network supplier to the pharmaceutical and CRO industries, today announced that the company’s Connected…Read More
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.