Prescribing Episode Statistics (PES) is a cutting-edge solution that provides deep insights and comprehensive analysis to detailed, timely prescription data from primary care across England. With over 100 million new records each month and six years of historical data, PES equips biopharma, healthcare professionals, and researchers with the tools to optimize prescribed medication use, meticulously track patient treatment journeys, and conduct robust real-world evidence studies.
What sets PES apart is its unique data quality, which empowers users with unambiguous data for real-world studies, helping to track prescribing dynamics without the need for assumptions. By providing clarity on the prescription journey, competence in analysis, and a significant reduction of risk in data interpretation, PES facilitates the optimal use of healthcare data to maximize product value and improve access to critical information. This leads to actionable insights, enhances patient care, and drives informed decision-making in the healthcare sector.
What sets PES apart is its unique data quality, which empowers users with unambiguous data for real-world studies, helping to track prescribing dynamics without the need for assumptions. By providing clarity on the prescription journey, competence in analysis, and a significant reduction of risk in data interpretation, PES facilitates the optimal use of healthcare data to maximize product value and improve access to critical information. This leads to actionable insights, enhances patient care, and drives informed decision-making in the healthcare sector.
Explore PES capabilities
Patient-level and longitudinal data
- Patient-level data: Each row in the dataset represents a unique prescription, including patient-specific information such as unique identifiers, gender, and age.
- Longitudinal data: Track patient treatment over time with detailed records covering six years of prescribing data.
Data Accessibility
- Custom dashboards: Focus on specific therapy areas with bespoke dashboards designed to provide insights relevant to different medical fields.
- Real-world evidence: Collaboratively conduct observational retrospective studies using comprehensive data to gain insights into real-world prescribing patterns.
Detailed analysis and reporting
- Source of patients - New, switch, return, repeat analysis: Understand how patients progress onto specific medications on a monthly basis.
- Medication switch analysis: Track changes in medication regimens to optimize treatment plans.
- Patient profiling: Analyze patient demographics, including age and gender, to tailor healthcare strategies.
- Concomitant prescribing profiles: Identify patterns in simultaneous medication use.
- Compliance and persistence: Monitor long-term adherence to prescribed treatments.
Connect with our team to learn more about PES
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