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.
Discover ideal patients, their diagnostic journey and the size of a market for a promising therapy.
Maximize commercialization success using our real world data assets and augmented intelligence technology to forecast market size, competitive landscape and potential ROI.
Statistically model the number of cases of a disease present in a particular patient population at a given time to assess the overall burden of illness and determine the need for treatment options.
Identify the physical, biological, social, environmental, cultural, and behavioral factors influencing health and determine how widespread those causes are in a particular patient population.
Discover the composition of care events and touchpoints toward successful diagnosis and treatment of rare conditions, as well as the specialists diagnosing and treating your target patients.
Estimating the Epidemiology of a Rare Cardiovascular Disease
A pre-commercial client was developing a targeted small molecule formulation for serious heart disease where patients are commonly misdiagnosed, leading to skepticism over published disease prevalence. Our client posed three challenges: 1) what is the potential volume of undiagnosed patients?; 2)what are the comparative profiles of known and predicted, undiagnosed patients?; and 3) which healthcare providers are managing the potential undiagnosed?
IPM.ai designed an algorithm to identify highly likely yet currently undiagnosed patients with disease, analyzed clinical profiles across the predicted ideal patients and designed scoring and estimation ranges based on the resemblance to the known diagnosed population uncovered in our real world data universe.
IPM.ai developed 4 scenarios, selected the optimal curve of likely patients and created an exhaustive set of criteria to size our client’s market. We also provided insights on known patients, including procedure codes highly predictive of upcoming diagnoses, HCP target lists including specialties outside of cardiology that were challenging to locate and prioritize and a revised estimate of disease prevalence, all of which is being utilized in the planning and forecast process.
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 pre-clinical goals.