HEALTHCARE

Higher quality patients. More 
opportunity.

IQVIA’s AI-Driven HCP & Patient Profiling is purpose-built to develop clear insights by enabling you to cost-effectively:

  • Make greater sense of the growing mountains of patient data available
  • Efficiently optimize therapeutic effectiveness
  • Expand your diagnosed cohort and identify undiagnosed patients accurately
  • Gain transformational patient and product efficacy insights
  • Innovatively engage with your customers

Are you ready to elevate your ability to precisely identify the right patients?

PATIENT FINDING & DISEASE MODELLING

Identify and/or predict key patient events

AI modeling can also be leveraged to accelerate your patient insights, especially as disease complexity and patient variability increases.

Algorithms support the expansion of the diagnosed cohort, helping spur growth of the treatable population and identify undiagnosed patients, and link to their treating physicians, forming a list of physicians likely to prescribe treatment with high accuracy to support use cases across the care continuum.


IQVIA Patient Finding and Disease Modeling is the AIML-based decision engine that powers the analytic models across the AIML solution suite to generate insights.

IQVIA PREDICTIVE MODELS

Key patient events to identify and/or predict

Diagnosed patients earlier

Diagnose patients earlier in their disease journey to deliver more timely treatment and improve outcomes.

Find patients ready for treatment

Reach the right patients at the right time; identify patients appropriate and ready for medical treatment.

Better predict uncontrolled illness

IQVIA predictive models accurately predicted 86% of uncontrolled asthma patients with 30% greater precision than a rules-based approach.

Identify treatment risk challenges

AI-modelling can help find patients who are at risk of not filling or receiving treatment.

CLINICAL DECISION SUPPORT TOOLS

Identify and close clinical care gaps

Gaps in care, such as delayed diagnosis, deferred diagnostic monitoring, under-treatment, and medication nonadherence, are widespread across therapeutic areas and have a significant impact on patient outcomes. These gaps are driven by a variety of factors, including provider shortages, competing clinical priorities, limited time with patients, and slow adoption of complex clinical guidelines.

To address these care gaps, life science companies can develop above-brand clinical decision support tools that leverage complex healthcare data to enhance providers' ability to make informed decisions about patient care.

Find out how you can partner with providers to identify the right patient for the right treatment at the right time, leading to improved patient outcomes and reduced healthcare costs.

CLINICAL DECISION SUPPORT TOOLS

Improve product adoption, decrease healthcare costs, and impact patient care

Partner with providers for improved care

Build effective above-brand partnerships with providers to identify and close care gaps across diseases.

Empower HCPs with simplified health data

CDST utilizes advanced AI algorithms and NLP to analyze complex healthcare data, enhancing providers' ability to make informed decisions and improve patient outcomes.

End-to-end support for easy deployment

IQVIA provides end-to-end support in the design, development, and deployment of CDST programs at scale, bringing multi-disciplinary expertise and ensuring effective implementation.

Leverage trusted cross-functional expertise

Benefit from multi-disciplinary expertise trusted across life sciences, governments, providers, and non-profits.

For Payer, Provider & Gov

Patient insights for advancing quality of care

Generate new treatment insights, faster, with AI-powered patient insights. Determine actionable ways to improve patient access to care using IQVIA health data and innovative solutions that can enable insights into global disease and pharmaceutical surveillance. Additionally, our clients use our technology platforms to demonstrate value, support HEOR, and conduct data analysis around patient and policy impact.

Related solutions

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