Augmented Intelligence for the Product Lifecycle

Real World Data Meets Decision Science

 

Providing Real World Patient-Centric Insights Across the Product Lifecycle:


 

streamline-icon-sync-location@40x40-2Market Assessment 

 



streamline-icon-analytics-graph-bar@40x40For Corporate Strategy, Development and Finance Executives

 

streamline-icon-optimization-rocket-graph@40x40-2Who need to confirm that drug research, development and commercialization efforts are warranted by identifying a viable target market.

 

The Conventional Approach of utilizing patient registry, key opinion leader and epidemiological data – resources primarily confined to diagnosed patient interactions – in an attempt to better understand the marketplace.

 

Typically Results In prematurely abandoned research efforts, development initiatives unsupported by actual demand, as well as unfavorable financing or future licensing conditions.
 

 

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Enter IPM.ai

Now you can find diagnosed, undiagnosed and misdiagnosed patients, uncover their diagnostic and treatment journeys as well as discover their healthcare ecosystem to confirm the viability of a product concept, validate the size of a market opportunity, and forecast likely demand.

OUR IMPACT?
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Patients

Bring critical, quality-of-life-changing treatments to patients that have endured years of obstacles during their medical journeys.

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Healthcare System

Provide earlier interventions that delay disease progression and improve patient outcomes, thus lowering the cost of care.

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Shareholder Value

Larger rounds of investment quicker, better licensing terms and an improved outlook for a possible merger or acquisition.


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Clinical Study Recruitment

streamline-icon-human-resources-hierarchy@40x40-3For: Clinical Operations, Program Management and Patient Recruitment Executives
streamline-icon-module-three-1@40x40Who need to source patients, engage sites and evaluate investigators for a clinical study while meeting strict timelines and budget allocations as well as minimizing protocol revisions.
The Conventional Approach of utilizing patient registries, known key treaters and the usual sites –resources normally limited to diagnosed patient linkages – to execute study startup activities.


TYPICALLY RESULTS IN
the need to secure 6x the number of sites for ¼ the number of patients compared to those needed in the study of common diseases, over $2M in incurred losses per day due to delays and failure rates that approach 90%.

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Enter IPM.ai

Now you can find diagnosed, undiagnosed and misdiagnosed patients, uncover their diagnostic and treatment journeys as well as discover their healthcare ecosystem to confirm the viability of a product concept, validate the size of a market opportunity and forecast likely demand.


OUR IMPACT?

Patients

Gain early access to the latest disease interception diagnostics, precision candidate therapies and modalities of care.

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Clinical Operations

Minimize study protocol amendments; reduce patient, site and investigator recruitment costs; and accelerate drug approval times.

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Healthcare System

New disease prevention, detection and treatment options serve to lower the cost of care and economic burden on public health.

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Optimizing Clinical Study Recruitment of Patients Affected by Specialty and Rare Diseases

 

Optimizing Clinical Study Recruitment of Patients Affected by Specialty and Rare Diseases


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Commercial Effectiveness

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For: Commercial Operations, Field Sales and Brand Marketing Executives
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Who: Need to focus resources to assure the greatest number of patients have access to new treatments, educate all relevant healthcare providers as to disease interception and therapeutic intervention options, and reach product launch and peak sales goals as quickly as possible.
The Conventional Approach of targeting diagnosed patients, engaging specialty physicians and utilizing omnichannel marketing strategies such as large scale programmatic, social media and television advertising in the hopes of achieving growth.

 

RESULTS IN

0%

of companies failing to achieve product launch milestones.

0%

of product launches missing revenue forecasts.

0%

of products extending their peak sales timelines.

and, most critically, delays in providing critical therapies to those whose lives depend on accessing them.

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Enter IPM.ai

Now healthcare and life sciences companies can find diagnosed, undiagnosed and misdiagnosed patients, uncover their diagnostic and treatment journeys as well as discover their healthcare ecosystem to educate a greater number of relevant healthcare providers, impact more patient lives and reach sales goals sooner.

OUR IMPACT?
 

Improving Outcomes for Patient Populations Affected by Specialty and Rare Disease

 

 

Improving Outcomes for Patient Populations Affected by Specialty and Rare Disease

 

How We Do it

Uncovering the Ideal Patient and their Healthcare Ecosystem Across the Product Lifecycle
Uncover Patients Who Present with a Rare Disease and Create a Definition 1 Use ML and AI to create lookalike models and a scoring system 2 Attribute lookalike patients to health care providers and inferred specialists 3 Map treating HCP ecosystem and corresponding patient load 4 Engage in 1:1 promotion via MSL’s and field sales backet by alerts 5 Uncover Patients Who Present with a Rare Disease and Create a Definition 1 Use ML and AI to create lookalike models and a scoring system 2 Attribute lookalike patients to health care providers and inferred specialists 3 Map treating HCP ecosystem and corresponding patient load 4 Engage in 1:1 promotion via MSL’s and field sales backet by alerts 5 Uncover Patients Who Present with a Rare Disease and Create a Definition 1 Use ML and AI to create lookalike models and a scoring system 2 Attribute lookalike patients to health care providers and inferred specialists 3 Map treating HCP ecosystem and corresponding patient load 4 Engage in 1:1 promotion via MSL’s and field sales backet by alerts 5
 

How We Do it

Uncovering the Ideal Patient and their Healthcare Ecosystem Across the Product Lifecycle

 

 

Why We Are Different

 

Download Our Case Studies and Publications

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