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 patient discovery, healthcare provider intelligence, key opinion leader identification, treatment journey mapping, market segmentation, study recruitment and audience engagement.
Find and recruit patients for clinical study, uncover where population clusters exist and determine which health care providers are most engaged.
Uncover ideal patient populations that are undiagnosed and/or misdiagnosed and who may be appropriate for a therapy including which specialists are diagnosing and treating them.
Understand patient's lives, attitudes, and behaviors through social determinants of health (SDOH) to better engage, educate, and influence them to take action to improve their health outcomes.
Analyze the composition of care events and touchpoints toward successful diagnosis and treatment of rare conditions, as well as the specialists diagnosing and treating target patients.
Discover the movements of ideal patients among treating physicians, what connections exist between prescribers, and which HCPs are involved in diagnosis, treatment and referral.
Identify the most influential HCPs in diagnosing and treating the ideal patient, who have expert product knowledge and can have an impact on HCP and patient behavior as brand evangelists.
HCP Profiling to Recruit Treatment-Ready Patients for Clinical Trial
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.
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.
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.
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.