Significantly Improving Patient Outcomes
By shrinking the diagnostic odyssey and driving earlier therapeutic intervention.
For more information, an initial consult, a career opportunity or media request, get in touch with us.
Confirm the Target Patient Population Warrants Research and Development Efforts
Who is my target patient population? What is their diagnostic and treatment journey? How large is the market for my candidate or expanded-use therapy?
Develop Effective Therapeutic Intervention and Drive Timely Approval
Who are my medically eligible patients to recruit for study? Around which sites do these patient clusters exist? Which HCPs and KOLs are most engaged?
Develop Effective Therapeutic Intervention and Drive Timely Approval
Optimize Product Launch and Peak Sales Attainment
How do we focus on the highest value patient targets and maximize engagement channels with HCPs for disease interception and therapy education?
Our unparalleled ability to demonstrate empirical results is rooted in our unique combination of a specialty and rare disease expertise, granular real word data universe and modern augmented intelligence platform.
Whether seeking to discover patients yet to be diagnosed, ready to progress to a second or third line therapy or at risk of non-adherence, we isolate the ideal patient population, leveraging ML/AI to predict a lookalike audience at scale and its associated health care providers via modeling techniques.
We examine signals across the continuum of care to address questions related to patient experience (e.g., demographics, comorbidities, symptomatology and treatment) and health care provider dynamics (e.g., key treaters, specialty inference and payers) to provide high-definition guidance.
While the industry has historically used field observation, primary research and secondary data to understand health care provider dynamics, we place the patient at the center of all analysis and precisely map treating physicians, referral networks and key opinion leaders for a high-definition view.
Whether seeking to discover patients yet to be diagnosed, ready to progress to a second or third line therapy or at risk of non-adherence, we isolate the ideal patient population, leveraging ML/AI to predict a lookalike audience at scale and its associated health care providers via modeling techniques.
We examine signals across the continuum of care to address questions related to patient experience (e.g., demographics, comorbidities, symptomatology and treatment) and health care provider dynamics (e.g., key treaters, specialty inference and payers) to provide high-definition guidance.
While the industry has historically used field observation, primary research and secondary data to understand health care provider dynamics, we place the patient at the center of all analysis and precisely map treating physicians, referral networks and key opinion leaders for a high-definition view.
IPM.ai projected the existence of ~800 to 2,400 undiagnosed patients for a client treating a rare disease with only 100 documented cases.
IPM.ai helped a client with a therapy for an ultra-rare life-threatening disease (<6,500 patients in the US) increase the diagnosis rate by 40%.
IPM.ai found ~10,000 patients who would benefit from a client’s first-in-class therapy for a rare condition and ~4,000 HCPs treating likely patients.
IPM.ai found ~400 patients for a client’s treatment of a rare muscular disorder that lacked an ICD-10 classification for effective diagnosis.
IPM.ai delivered a database with 13,000 top-decile HCPs accounting for 60% of total patient volume to a client with a first-in-market treatment.
IPM.ai found ~7,000 HCPs treating hidden patients for a disease with less than 2,000 patients, raising the positive-patient ID rate.
By shrinking the diagnostic odyssey and driving earlier therapeutic intervention.
That accelerate the commercialization of critical therapies, quicker with less risk.
Through earlier disease interception and minimization of non and misdiagnosis.
By shrinking the diagnostic odyssey and driving earlier therapeutic intervention.
That accelerate the commercialization of critical therapies, quicker with less risk.
Through earlier disease interception and the minimization of non diagnosis and misdiagnosis.
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