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Writer's pictureMark Price

Harnessing Open-Source Healthcare Data: How the Pharmaceutical Industry Can Drive Strategy with HES, QOF, ePACT2, and SCMD

In the highly competitive pharmaceutical landscape, access to reliable, comprehensive data is critical for shaping strategies that meet regulatory requirements and drive business growth. The ability to make data-driven decisions allows pharmaceutical companies to optimise market access, inform clinical trial design, enhance product positioning, and, ultimately, improve patient outcomes.

The UK offers a wealth of open-source healthcare data, including Hospital Episode Statistics (HES), the Quality and Outcomes Framework (QOF), ePACT2 (Primary Care Prescribing Data), and Secondary Care Medicines Data (SCMD). These datasets provide pharmaceutical companies with the insights needed to understand better patient populations, treatment patterns, prescribing trends, and healthcare outcomes, enabling them to stay ahead of the curve in an increasingly data-driven industry.


At Eye4Health, we help pharmaceutical companies unlock the potential of these datasets to inform their strategies, optimise product positioning, and support market access initiatives. This blog explores how the pharma sector can leverage these key datasets to enhance decision-making and drive innovation.


The Role of Data-Driven Decision-Making in the Pharmaceutical Industry

In an industry where timelines are long, and the stakes are high, having access to robust, real-time data is essential for making informed decisions that span the entire product lifecycle. Whether understanding disease prevalence, mapping patient journeys, or optimising pricing and reimbursement strategies, pharmaceutical companies that utilise data effectively can significantly enhance their competitive advantage.


By integrating healthcare data from HES, QOF, ePACT2, and SCMD, pharmaceutical companies can gain deeper insights into their products' real-world impact, better understand unmet needs, and identify opportunities for innovation and growth. Data-driven decision-making helps pharmaceutical leaders move beyond anecdotal evidence, enabling more targeted and evidence-based strategies that resonate with healthcare providers, payers, and patients alike.


Key UK Healthcare Databases for the Pharmaceutical Sector

The UK’s open-source healthcare databases provide an invaluable resource for the pharmaceutical industry. Let’s explore how HES, QOF, ePACT2, and SCMD can be utilised to inform key business decisions.


1. Hospital Episode Statistics (HES)

HES is a comprehensive dataset that captures detailed information on hospital admissions, outpatient appointments, and A&E attendances across NHS hospitals in England. This data offers a window into patient pathways, treatment patterns, and the real-world impact of different therapies.

Pharmaceutical companies can use HES data to:

  • Understand Treatment Pathways: Analyse how patients move through the healthcare system, identifying unmet needs and sub-optimally managed patient groups that could better inform Healthcare providers on the better use of NICE-approved treatments.

  • Assess Real-World Outcomes: Track outcomes for patients using specific medications, enabling companies to demonstrate the real-world effectiveness of their products to healthcare providers and payers.

  • Identify Patient Cohorts: Segment patient populations based on treatment history, demographics, and clinical characteristics, allowing for more targeted clinical trial designs and personalised medicine approaches.


2. Quality and Outcomes Framework (QOF)

QOF provides data on the performance of general practices in managing chronic diseases and delivering preventative care. It covers critical clinical areas such as cardiovascular disease, diabetes, respiratory conditions, and mental health, offering insights into the quality of primary care in the UK.


Pharmaceutical companies can leverage QOF data to:

  • Inform Disease Management Strategies: Analyse how well primary care providers manage chronic diseases, identifying gaps in care where new therapies could offer a competitive advantage.

  • Enhance Market Access: Use QOF data to demonstrate the value of new treatments in improving outcomes for common chronic conditions, helping to secure favourable reimbursement decisions.

  • Support Health Outcomes Evidence: Leverage disease prevalence and outcomes data to build a strong case for the cost-effectiveness and clinical benefit of products in market access submissions.


3. ePACT2 (Primary Care Prescribing Data)

ePACT2 is a prescribing data platform that provides detailed insights into prescribing patterns across primary care in England. This dataset includes information on medication usage, costs, and trends, helping pharmaceutical companies understand how their products are being used in practice.


Pharmaceutical companies can use ePACT2 data to:

  • Monitor Prescribing Trends: Analyse how products are prescribed in primary care settings, tracking uptake and identifying opportunities for targeted promotion or educational campaigns.

  • Optimise Market Positioning: Assess how products perform against competitors in specific therapeutic areas, using insights from ePACT2 to refine marketing strategies and optimise market positioning.

  • Support Medicines Optimisation: Work with healthcare providers to identify areas where prescribing practices can be improved, demonstrating how their products align with best practice guidelines and improve patient outcomes.


4. Secondary Care Medicines Data (SCMD)

SCMD provides insights into the use of medicines in secondary care, including hospitals and specialist centres. This dataset includes information on dispensing high-cost, specialist medication, making it a critical resource for pharmaceutical companies focused on hospital-based treatments.


Pharmaceutical companies can leverage SCMD to:

  • Track Usage of Specialist Medicines: Monitor the use of high-cost and specialist therapies within hospitals, gaining a better understanding of how their products are utilised in complex treatment pathways.

  • Assess Real-World Medicine Use: Analyse hospital dispensing patterns to assess their products' real-world use and effectiveness, helping to inform product development and post-market surveillance.

  • Demonstrate Cost-Effectiveness: Use SCMD data to build a robust value proposition for high-cost therapies by demonstrating the real-world outcomes and cost-effectiveness of products used in hospital settings.


Unlocking the Power of Predictive Analytics

By integrating data from HES, QOF, ePACT2, and SCMD, pharmaceutical companies can move beyond descriptive analysis and leverage predictive analytics to forecast future trends. Predictive analytics enables companies to anticipate market shifts, optimise product launches, and align strategies with future healthcare needs.

Using predictive analytics, pharmaceutical companies can:

  • Forecast Disease Trends: Analyse historical data to predict future changes in disease prevalence and patient needs, helping to inform research and development priorities.

  • Optimise Launch Strategies: Based on anticipated demand, identify the best time to launch new products, ensuring that resources are allocated effectively for maximum impact.

  • Target High-Risk Patients: Use predictive models to identify patient groups most likely to benefit from a new therapy, allowing for more effective product positioning and marketing strategies.


Overcoming Data Utilisation Challenges

While these open-source datasets provide invaluable insights, the sheer volume of data can be overwhelming for many pharmaceutical companies. In addition, data fragmentation, lack of interoperability between systems, and the need for advanced analytics expertise can pose significant barriers to effective data utilisation.


At Eye4Health, we help pharmaceutical companies overcome these challenges by offering tailored solutions that make data actionable. Our team of experts in health economics, financial analysis, and epidemiology works with clients to integrate and analyse data from HES, QOF, ePACT2, and SCMD, delivering insights that drive more intelligent decision-making.


Conclusion: Data as a Strategic Asset for Pharma

As the pharmaceutical industry faces growing demands for evidence-based outcomes and value-based care, data-driven decision-making will be critical to success. By leveraging open-source datasets such as HES, QOF, ePACT2, and SCMD, pharmaceutical companies can optimise their strategies, improve product positioning, and demonstrate real-world value to healthcare providers and payers.

At Eye4Health, we specialise in helping pharmaceutical companies unlock the potential of healthcare data. With over 25 years of experience, we offer the expertise and tools to turn data into a strategic asset that drives business growth and enhances patient outcomes.


Are you looking to maximise the value of your healthcare data? Contact Eye4Health today to learn how we can support your data-driven decision-making journey.

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