Patient Finder

Patient Finder is a comprehensive patient recruitment and Clinical Decision Support (CDS) solution designed to integrate seamlessly into health system workflows. It leverages the Graticule global provider partner network and advanced clinical data science utilities to expedite recruitment processes and mitigate the risk of under-enrollment at clinical sites.

Identifying patients, especially those with rare diseases or complex symptoms, poses significant challenges. These patients often experience prolonged misdiagnosis and may miss out on critical therapies. Researchers face difficulties in pinpointing eligible candidates for clinical trials at the right stage, leading to recruitment delays.

Challenges in Patient Identification

• Lack of Dataset Access: Limited access to diverse and large real-world data sets, along with the necessary clinical expertise to develop data extraction tools and predictive models.
• Implementation Barriers: The challenge of implementing patient identification screening views using current data within clinical workflows to validate logic and utility.
• Inability to Scale: Difficulty in scaling the use of the system by coordinating with multiple sites and clinicians.

Optimization of Patient Screening

Patient Finder optimizes patient screening by utilizing extensive EHR data from health systems and aggregators. This aids in the development and testing of patient identification screener features and logic. The integration of Key Opinion Leader (KOL) expertise ensures that subject matter knowledge is effectively incorporated into the screener systems. Unique partnerships with a global network of health systems and Health Information Technology (HIT) platforms facilitate the deployment of these systems at the point of care.

Benefits of Patient Finder

• Improved Access to Care: Stratification of patients helps identify those who might benefit from specific marketed or experimental medicines tailored to their needs.
• Accelerated Patient Recruitment: The integration of algorithms and predictive models in screening tools helps quickly identify qualified patients and recommend diagnostic actions, speeding up the recruitment process.
• Reduced Manual Labor: By establishing an intelligent screener that processes and presents relevant information from electronic medical records, the need for manual chart reviews and low-yield diagnostic processes is significantly reduced.