IPM.ai Clinical Insights

The IPM.ai System of Insight

Our platform utilizes machine learning, artificial intelligence and granular-level longitudinal analytics in conjunction with an enriched and tokenized data pool of over 300 million de-identified patients to revolutionize how life sciences pioneers identify, engage and enroll patients who could benefit from new therapies and standards of care.

Key Capabilities

Uncover medically-eligible yet still undiagnosed or misdiagnosed patients for clinical study, uncover where clusters exist for site selection and determine which health care providers are most engaged thus ideal investigators.

Patient Finding & Segmentation

Uncover the undiagnosed and/or misdiagnosed who may be appropriate for study recruitment. Segmentation creates clusters to optimize site selection.

Patient Profiling & Enrollment Intent

Understand patients’ lives, attitudes and behaviors through social determinants of health (SDOH) to better understand their propensity and intent to participate in a clinical study.

Patient Treatment Journey Mapping

Understand composition of care touchpoints toward diagnosis and treatment, as well as the specialists diagnosing and treating your potential study candidates

HCP Targeting & Segmentation

Identify HCPs relevant to your clinical study for investigator recruitment. Allocate resources for personal/non-personal promotion based on clinical and behavioral profiling, and prioritizes MSL activities.

Specialty Inference & Profiling

Discover the archetypical profile of each specialty. Determine to what extent HCPs “look like” their stated specialty or other specialties based on behavioral observations rather than self-reported data.

Key Opinion Leader Discovery

Identify the most influential HCPs diagnosing and treating your ideal patient, who have expert product knowledge and have an impact on HCP and patient behaviors across their sphere of influence.

Client Case Study

HCP Profiling to Recruit Treatment-Ready Patients for Clinical Trial

The Challenge

A leading biotech company developing a treatment for Lupus was experiencing a challenge recruiting clinical study-eligible patients. Our client needed to identify the a pool of ideal potential patients and their treating health care providers, as well as understand the level of connectivity/trust patient's experienced with these physicians to accelerate the process.

The Solution

IPM.ai's system of insight uncovered treatment- appropriate patients to build a profile of the ideal patient and leveraged ML to discover look-alike patients. We then generated a database of target health care providers with high influence and connectivity levels within the broader provider network.

The Outcome

IPM.ai's system of insight uncovered a substantial group of treatment-ready/progressing patients to compile a database of HCPs with prioritized total treatment potential based on the number of referrals (more patients in play) and connections within the network (high number reflects greater trust). Trial recruitment is underway, and the client is collaborating with our sister company Swoop to build unbranded clinical study-specific messaging to a broader base of health care providers.

Ready to Discuss a Better Way?

IPM.ai is dedicated to enabling improved patient care and lowering the cost of treatment through advanced technologies. Reach out today to learn how we can collaborate to optimize your clinical studies.

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