Leveraging AI to unlock commercial insights from HCP prescribing_claims data
Electronic Medical Records (EMR) are a treasure trove of critical information for pharma, from understanding the patient journey and optimising medicines to tracking prescribing habits and unlocking competitor intelligence.
However, deriving real-world knowledge from such extensive and diverse datasets is complex and resource-intensive.
So, how are AI technologies set to transform the speed and efficiency of converting this data into actionable insights?
In this report, experts reveal the commercial benefits of AI.
Companies
Novartis, Roche, Genentech, Apple, IQVIA, Julz Pharma, NVIDIA, AMD, Curistica
- Subject synopsis
- Research methodology and objectives
- Methodology
- Objectives
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- Issues and insights
- Insights into customer behaviour and journeys
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- Key insights
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- Usefulness of AI to gain insights from large datasets
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- Classification of treatment utilisation trends and product differentiation
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- Key Insights
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- Leveraging AI to modulate prescribing behaviour
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- Key insights
- Supporting quotes
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- Deploying advanced analytics within pharmaceutical companies
- Issue summary
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- Key insights
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- Use of non-traditional datasets
- Issue summary
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- Key insights
- Supporting quotes
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- Challenges to using AI for insights from medical claims
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- Key insights
- Supporting quotes
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- Advice to pharmaceutical companies building AI capabilities
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- Key insights
- Supporting quotes
- Intelligence exhibits
- Issue summary
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