Our platform utilizes machine learning, artificial intelligence and granular longitudinal analytics in conjunction with an enriched and tokenized data universe 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.
Accelerate peak revenue, maximize field-based personal promotion efforts and focus on your highest value patient targets.
Uncover ideal patients 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 to better engage, educate and influence them to take action to improve their health outcomes.
Discover the movements of patients among treating physicians, connections existing between prescribers and which HCPs are involved in diagnosis, treatment and referral.
Discover the archetype of each specialty and determine to what extent HCPs “look like” their stated specialty or other specialties based on behavioral observations rather than self-reported data.
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.
Alert the field sales organization about emerging industry trends, patient intelligence and market developments via Veeva or any alternative CRM systems, with data refreshed within one week of a relevant event.
Finding Patients In An Unestablished Market
A small biopharma company was offering the first treatment option in an unestablished rare disease market. Manifestations of the disease caused patients to seek multiple specialists, creating a massive HCP target universe. Our client sought a specific subpopulation with a genetic mutation that was not available in claims data to laser focus sales force efforts.
IPM.ai used our ML/AI-based system of insight to ingest our client’s de-identified patient-level lab data and unify it with our own real world data universe. We then built a claims profile of ideal patients to generate a database of target health care providers based on the propensity of undiagnosed patients.
IPM.ai's system of insight identified a previously unconsidered key treating specialty for the client to proactively engage providers. After treating only 60 patients over 3 years, our client initially identified 35 additional patients and now credits IPM.ai with identifying approximately 20% of all new patients treated.
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 achieve your specific commercialization goals.