Transforming Global Clinical Research through Innovation, Insight & Access

Learn about our daTAscape, powered by the Connected Site Network, and Eligibility Engine for real-time participant matching

Patient iP bridges gaps between research sites, life sciences and contract research organizations to achieve one common goal: streamlining and accelerating trial design, site selection and participant identification to bring  therapies to market faster and more cost effectively.

For Sponsors

  • Responsive Protocol Design
  • Informed Site Selection
  • Direct Path to Patients to Increase Success

Precise Design and Execution

Real World Data-Based

Better Risk Mitigation

Leverage Latest AI & NLP Technologies

For Sites

  • Attract More Trials
  • Automate Patient Identification
  • Streamline Internal Workflows and Enroll Patients Faster

daTAscape

Power by the Connected Site Network

The most advanced solution aggregating disparate data sources which can be mined via the Patient iP Eligibility Engine to drive faster feasibility, responsive protocol modeling and objective site selection.

clinical trial network

Over 14 Million Unique, Longitudinal Patient Lives

More Than 4,000 Connected Sites

Nearly 100 Therapeutic Areas Represented

Recent News

September 6, 2017 in News

Leveraging Patient Health Data to Drive Clinical Trial Feasibility and Recruitment Improvements

Though the adoption curve of technology within the clinical research space is expanding, paper-based and manual processes still play a major role in the execution of trials. Fortunately for all…

Read More
August 29, 2017 in News

Outsourcing Pharma: Patient iP’s clinical trial matching solution tops 14m patient records

Patient identification Platform (Patient iP) has been growing its Connected Site Network over the past two years – as it aims to curate one of the largest patient-centric, longitudinal clinical…

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.