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A Transformational Approach To Patient-Driven Pharma Marketing

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This new-era approach to gain a cutting-edge in drug marketing is fast gathering winds on its sail – the world over and is being accepted as a transformational one, in tandem. It is primarily a two-pronged approach that involves merging or convergence of RWE (real-world evidence) and AI (artificial intelligence) into a unified approach for tasks like healthcare research, drug discovery, and patient care optimization.

However, in the context of this article, the process would involve a perfect synthesis between RWE (Real-World Evidence) and AI (Artificial Intelligence) for achieving a cutting edge in patient-driven marketing. A well-crafted shift to this strategic direction, I reckon, holds immense potential to revolutionize the way pharmaceutical companies connect with patients and build trust in today’s complex market environment.

Provides benefits both to patients and drug companies in equal measure:

Following reasons may give a sense of how this transformational strategic initiative provides benefits both to patients, as well as the drug companies in equal measure, which, consequently, makes this fusion or synthetization is so crucial:

1. Unveiling Deeper Patient Understanding:

  • AI-powered insights: AI excels at analyzing vast amounts of RWE data, uncovering hidden patterns and relationships that might escape human analysis. This translates to a deeper understanding of patient journeys, preferences, and unmet needs.

2. Crafting Personalized Engagement:

  • Tailored communication: By leveraging RWE and AI, pharma companies can move beyond generic marketing messages. They can tailor their communication to specific patient segments, addressing their unique concerns and delivering relevant information about treatment options.
  • Empowering patients: Access to clear, personalized information empowers patients to actively participate in their healthcare decisions. RWE and AI can provide insights into potential benefits and risks, allowing patients to make informed choices alongside their healthcare provider.

3. Optimizing Marketing Strategies:

  • Enhanced targeting: Traditional marketing often involves a scattershot approach. RWE and AI enable precise targeting, reaching the right patients with the right message at the right time. This improves marketing ROI and ensures patients receive relevant information about potential treatments.
  • Data-driven decisions: By analyzing RWE data, AI can identify trends and predict patient behavior, allowing pharma companies to optimize their marketing strategies and campaigns for maximum impact.

4. Demonstrating Real-World Value:

  • Moving beyond clinical trial data: Clinical trial data, while essential, doesn’t always translate perfectly to real-world settings. RWE provides a more holistic picture of drug effectiveness and safety in everyday clinical practice, building trust with patients and healthcare professionals.
  • Supporting regulatory approvals: RWE, backed by AI analysis, can provide robust evidence to support regulatory applications for new indications or expanded use of existing drugs.

These are a few reasons why this novel approach is gaining traction across the world.

Some recent global and Indian examples related to the synthesis of RWE & AI in patient-driven drug marketing:

Let me now give just 5 examples each for both global and Indian companies, as available in the public domain, of how pharmaceutical companies are deriving benefits from this process.

Examples from global companies:

1. AstraZeneca: Analyzed RWE data from EHRs to identify subgroups of patients who respond best to their lung cancer drug Tagrisso. This enabled them to target marketing efforts towards these specific groups, leading to increased adoption and sales.

2. Roche: Employed AI to analyze social media data to understand patient sentiment towards their hemophilia drug Hemlibra. This helped them tailor their marketing messages to address patient concerns and anxieties, improving patients’ experience.

3. Pfizer: Leveraged RWE from registries to demonstrate the long-term effectiveness and safety of their pneumococcal vaccine Prevnar13 in older adults. This data supported regulatory approval for a new indication, expanding market reach.

4. Novartis: Utilized AI to analyze large datasets from clinical trials and RWD to predict patient response to their heart failure drug Entresto. This personalized treatment approach improved patient outcomes and reduced hospital readmissions.

5. AbbVie: Used RWE to identify factors influencing physician prescribing behavior for their immunology drug Humira. This data helped to tailor their marketing efforts towards relevant healthcare professionals, enhancing brand awareness and adoption.

These are just a few examples, and the field is constantly evolving. As RWE and AI technologies become more sophisticated, we can expect even more innovative Patient – Centric marketing approaches from global drug companies.

A few examples from domestic Indian companies:

While the use of RWE and AI in patient-driven drug marketing is still at an earlier stage in India compared to global giants. This is mainly due to the relatively nascent stage of adoption in India. As the field evolves, we can expect more examples of innovative applications for greater impact in the future. That said, there are some interesting examples emerging, such as:

1. Sun Pharma: Launched a mobile app called “SunRx” that leverages AI to analyze past medication history and suggest personalized recommendations for over-the-counter (OTC) products. This app uses patient data anonymously and adheres to privacy regulations.

2. Cipla: Partnered with a US-based AI company to develop a platform that analyzes RWE data from patient registries to identify new treatment opportunities for complex diseases like chronic kidney disease. This data will be used to inform future drug development and marketing strategies.

3. Dr. Reddy’s Laboratories: Implemented a pilot program using AI to analyze social media data to understand patient sentiment towards their diabetes medication. This helped them identify key concerns and tailor their communication strategies accordingly.

4. Glenmark Pharmaceuticals: Leveraged RWE data from electronic health records (EHRs) to demonstrate the real-world effectiveness of their respiratory drug Brocacef. This data was used to support regulatory approval for a new indication, expanding market reach.

5. Lupin Limited: Partnered with a healthcare analytics company to analyze claims data and identify patient segments with unmet needs. This data will be used to develop and market targeted solutions for these specific patient groups.

It’s important to acknowledge here that the Indian drug industry faces several challenges in adopting RWE and AI for patient-driven marketing in the country. These include access to high-quality and standardized RWE, scarce availability of skilled professionals for building and implementing industry-oriented AI-based solutions. Besides, the regulatory framework for using RWE data in marketing is still evolving, while robust ethical frameworks and transparent data handling practices are essential for this process to be sustainable.

Conclusion:

Synthesizing RWE and AI in pharmaceutical marketing is not just an option now, but a critical step towards a more Patient-Centric and data-driven approach that benefits both patients and pharmaceutical companies. By addressing the challenges and ensuring ethical practices, this powerful combination can pave the way for a future where patients are empowered partners in their health journeys, and pharmaceutical companies can deliver targeted, effective marketing that truly benefits patients.

By: Tapan J. Ray

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.

Unleash The Power of RWE in Indian Pharma Marketing

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An IQIVIA event titled, “RWE in 2024: Recognizing opportunity and demonstrating value with confidence,” held on October 25-26, 2023, made several interesting observations such as:

  • The future of healthcare is being reshaped and RWE is playing an increasing role in revolutionizing patient care, drug development, and healthcare policy.
  • Generative AI and new technologies create new opportunities and ways of working, increasing acceptance of RWE by regulators and payers, and ever-evolving and diverse patient needs.

In recent days, post-launch of a new product, several drug companies, although more globally and some locally, are using Real-World Evidence (RWE) to showcase how their product is providing value - not just clinically and economically, but also from a humanitarian perspective, in a real-life situation. Besides, RWE is also increasingly being used to improve product detailing outcomes, taking a quantum leap in enhancing brand awareness among prescribers.

Thus, while exploring the emerging space of RWE, I shall focus in this article on the increasing importance of leveraging this area for greater effectiveness of pharmaceutical marketing strategies, especially in India. To be on the same page with my readers, let me start with a quick recap of what I really mean, as I use this terminology.

RWE – A quick recap:

As I talk about “using Real-World Evidence (RWE) in pharmaceutical marketing,” I mean ‘leveraging Real-World Data (RWD)’ to gain insights that inform and shape marketing strategies for pharmaceutical products. Obviously, this could raise a pertinent question – why RWE is gaining ground in drug marketing now.

Why is RWE gaining ground in recent pharmaceutical marketing globally?

The growing popularity of RWE in recent drug marketing, globally, can be attributed to several key factors, as flagged in various studies. Some of these include:

1.  Addressing limitations of clinical trials: While clinical trials provide valuable insights, they often have limitations. RWE complements clinical trials by offering insights into how drugs perform in the real world, addressing these limitations.

2.  Evolving regulatory landscape: Top regulatory agencies of the world like the US FDA and EMA are now recognizing the value of RWE. This incentivizes drug companies to embrace RWE for marketing purposes.

3.  Advancements in data analytics: Sophisticated data analytics techniques and tools are enabling researchers to extract meaningful insights from complex RWE datasets. This allows for more robust and reliable evidence generation, enabling marketers to create more effective sales and marketing strategies. In one of my articles -‘Data-giri’: Critical For A Rewarding New Product Launch, written on December 24, 2018, I deliberated on this area. 

4.   Precision medicine: The rise of precision medicine necessitates understanding how drugs work in specific patient subgroups. RWE can identify these subgroups and their responses to treatment, facilitating targeted marketing campaigns.

5. Transparency and Patient-Centricity: Patients and healthcare professionals increasingly demand transparency and real-world evidence to support treatment decisions. RWE demonstrates a commitment to transparency and provides evidence grounded in real-world settings, fostering trust and confidence. 

As data analytics capabilities continue to advance and regulations evolve, we can expect RWE to play a more prominent role in shaping future pharmaceutical marketing strategies. 

Real-Life Advantages of using Real-World Evidence (RWE) in Indian pharmaceutical marketing:

A.   Increased relevance and credibility, including more accurate measuring of cost-effectiveness.

B.   Improved decision-making, enabling more targeted marketing campaigns and improved resource allocation.

C.   Added regulatory benefits, as it can provide additional evidence to support claims of effectiveness and safety, potentially influencing regulatory decisions and gaining new indications for existing drugs.

D.   Help become more patient-centric, as utilization of RWE findings enhance quality of communication with patients and healthcare professionals – fostering trust and transparency. RWE can also help identify areas where current treatments are inadequate, prompting research and development efforts towards better solutions.

Challenges to consider:

  • Data quality and access: Ensuring data quality and ethical access to patient data remains a challenge in India.
  • Data analysis expertise: Utilizing complex RWE data effectively requires skilled data analysts and statisticians.
  • Regulatory framework: The regulatory framework in India for RWE is still evolving, requiring careful navigation.

Despite these challenges, the potential benefits of RWE for Indian pharmaceutical marketing appear to be significant. By overcoming these hurdles and embracing RWE with collective advocacy, when required – pharmaceutical companies can gain valuable insights, improve decision-making, and ultimately serve patients better.

Some recent international examples of RWE in pharmaceutical marketing:

Here are some recent international examples of how pharmaceutical companies are using real-world evidence (RWE) in their marketing strategies:

1. Novartis:

  • Campaign: Leveraged RWE from a large observational study to demonstrate the effectiveness of their drug Entresto in reducing heart failure hospitalizations in real-world patients compared to other standard treatments. This evidence supported claims beyond the initial clinical trials and resonated with healthcare professionals.
  • Results: The campaign helped increase market share for Entresto and positioned it as a more effective option for managing heart failure.

2. AstraZeneca:

  • Campaign: Utilized RWE from claims data to identify specific patient sub-populations most likely to benefit from their oncology drug Tagrisso. They then targeted these segments with personalized marketing messages highlighting the drug’s effectiveness in their specific situation.
  • Results: This data-driven approach led to a significant increase in prescriptions for Tagrisso among the targeted patient groups.

3. Sanofi:

  • Campaign: Analyzed RWD from multiple sources to understand the real-world disease burden and treatment patterns for diabetes in different regions. This information informed their marketing strategy by tailoring messaging and product offerings to specific regional needs and patient populations.
  • Results: This data-driven approach enabled Sanofi to develop more relevant and targeted marketing campaigns, potentially increasing market share in key regions.

4. Roche:

  • Campaign: Used RWE from registries and claims data to track the long-term safety and effectiveness of their cancer drug, Avastin, in real-world patients. This ongoing monitoring allowed them to proactively address potential safety concerns and update their marketing messages accordingly.
  • Results: By demonstrating transparency and commitment to patient safety, Roche maintained trust and confidence in Avastin, even after initial safety concerns emerged in clinical trials.

The above examples possibly showcase how RWE can be used for various marketing objectives, including:

  • Demonstrating real-world effectiveness beyond clinical trials
  • Targeting specific patient segments for personalized marketing
  • Building trust and confidence through safety monitoring
  • Tailoring marketing strategies to regional needs

Nevertheless, it’s important to note that these are just a few examples, and the specific ways RWE is used in marketing will vary depending on the company, drug, and market conditions. Be that as it may, these examples illustrate the growing trend and potential of RWE as a valuable tool for pharmaceutical marketing strategies.

Some Indian examples of RWE in pharmaceutical marketing:

While specific examples from current marketing campaigns might be limited, the Indian pharmaceutical industry, as I fathom, is actively exploring the potential of RWE, and we can expect its impact on marketing strategies to grow in the future.

That said, from publicly available data, I can offer some general examples that demonstrate the growing interest and potential applications of RWE in the Indian drug industry:

1. Sun Pharma:

  • Partnered with IQVIA to leverage real-world data for clinical research and potentially future marketing insights.
  • Developed a real-world data platform aimed at understanding treatment patterns and patient outcomes, which could inform future marketing strategies.

2. Cipla:

  • Collaborated with Pharm Easy to analyze anonymized prescription data, potentially generating insights for targeted marketing campaigns.
  • Invested in building data analytics capabilities, suggesting an intent to utilize RWD for various purposes, including marketing.

3. Dr. Reddy’s Laboratories:

  • Partnered with Apollo Hospitals to create a real-world data platform focusing on disease registries and patient outcomes, paving the way for future RWE -   based marketing strategies.
  • Established a dedicated data science team, indicating an interest in leveraging RWD for various applications, potentially including marketing.

4. Torrent Pharmaceuticals:

  • Entered a strategic partnership with IQVIA to utilize real-world data for market research and potentially inform future marketing decisions.
  • Invested in building data analytics capabilities, suggesting an intent to utilize RWD for various purposes, including marketing.

5. Lupin:

  • Partnered with Pfizer to analyze real-world data on the effectiveness of their co-developed tuberculosis treatment, which could potentially inform future marketing efforts.
  • Invested in digital health initiatives, which can generate real-world data that could be utilized for future marketing strategies.

It’s important to remember that these are just examples of companies investing in RWD and RWE, and not necessarily evidence of direct use in current marketing campaigns. Nonetheless, they showcase the growing trend and potential for future applications in the Indian pharma industry.

Recently reported couple of other developments and initiatives in India:

  • The Indian Society for Clinical Research (ISCR) released a white paper in 2022 outlining recommendations for implementing RWE in India, highlighting its potential for drug development, regulatory submissions, and post-marketing surveillance.
  • The IQVIA Institute for Human Data Science India was established in 2023 with the aim of advancing capabilities leveraging real-world data and analytics in the Indian healthcare ecosystem.

Conclusion:

In a recent publication named, ‘Real-world evidence comes of age for pharma’ - the global consulting company - PwC, has also reaffirmed the critical need to understand how medicine performs in the real world. The authors highlighted, RWE has the potential to transform the pharmaceuticals business – from driving increased efficiency and cost savings in drug development, to helping identify new patient populations for marketed drugs. This can, in turn, translate into higher profitability and shareholder returns, while driving value growth. The big challenge for industry leaders now is learning how to leverage RWE as a sustainable competitive advantage in a landscape that has changed dramatically over the past few years.

By: Tapan J. Ray

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.

 

Leveraging Data Science To Deliver Unique Patient-experience

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“Changes in consumer behavior, many of which were accelerated by the COVID-19 pandemic, are fueling a redesign of the health ecosystem.” This finding was revealed by a recent study of the PwC’s Health Research Institute (HRI). The research provided insights about how and why specific groups of consumers used health services during the pandemic – from mental health and telehealth to in-home care and other non-traditional care sites.

The study also captured ‘their willingness to use them again in the future,’ and suggested, those pharma companies that closely monitor these consumer signals and design, accordingly, will likely emerge as more customer centric, as the pandemic wanes.

From this perspective, effective application of data science for creating a unique patient experience by listening to patient voice, is now an imperative for pharma players. Which is why, this approach is nowa key business success ingredient in the changing paradigm. It helps offering a holistic disease treatment solution to patients searching for an effective and affordable disease treatment process.

This article will, therefore, focus on leveraging data science for strategic use of Real-World Evidence (RWE) based on Real World Data (RWD) – on how customer characteristics and behavior impact health outcomes. This initiative is fast becoming a key driver to excel in contemporary pharma business.

Strategic use of RWD/RWE increasing in pharma marketing plans:

RWE, as the name suggests, is the evidence derived from RWD. These are collected outside of clinical trials from various sources, such as, patients and HCP surveys on treatment outcomes, electronic health records wherever available, Wearable Health Devices (WHD), insurance claims, data from connected healthcare records, custom study and many others.

The McKinsey & Company article in this area, published on July 23, 2020, also indicated so. Although, some leading pharma companies have already been using RWE. However, recent progress in digital and advanced analytics allows it to be employed in new ways to deliver impact at scale, the article highlighted. When used by hands-on- professionals of repute in this area, RWE can help pharma marketers understand how patient characteristics and behaviors affect health outcomes.

The research paper on how Biopharmaceutical companies are embedding real-world data and evidence use across the enterprise, published in Deloitte Insights on September 21, 2022, presented an interesting contemporary example. It wrote: ‘During the COVID-19 pandemic, RWD/E played a key role in enabling Biopharma companies to innovate and bring novel vaccines and therapies against this highly contagious disease to market in record time.’id-19,

The approach gained momentum during the Covid-19 pandemic:

The above research study of Deloitte brought out this fact succinctly. It found; unprecedented challenge posed by COVID-19 pandemic prompted several drug companies to leverage RWD/E to innovate faster than ever before. More than half of the companies surveyed by Deloitte used RWD/E to understand the incidence and severity of COVID-19 and its variants for vaccine and drug development.’

The survey found: ‘Many vaccine developers, such as Johnson & Johnson analyzed RWD to predict COVID-19 hotspots across geographies to optimize site selection and collect data from diverse racial and ethnic groups.’ Besides, RWE also played a critical role for these companies in understanding vaccine effectiveness across demographics such as age, gender, race, and ethnicity and determining the need for boosters.

Improves patient experience for business excellence:

A systematic and ongoing tracking and analysis of well-identified RWD, by pharma marketing analytics professionals, can help in-depth understanding of changing pharma customer characteristics and behavior, more precisely. Such initiatives include patients, HCPs, hospitals and even the policy makers. Several drug majors have adopted this practice, immediately after absorbing the initial shock of unprecedented disruptions during the Covid-19 pandemic.

Similarly, RWD can help map the exact available space for demand where a brand is being used and potential competitive value-space for its further demand extension – based on real time customer behavior with changing characteristics. To shape customer journeys, such findings may immensely help while strategizing for more targeted content delivery, with sharper segmentation and brand positioning.

Therefore, finding such gaps in various areas of patients’ journey – in their search for an effective and affordable treatment, and appropriately filling these up with brand value delivery is critical. This will help improve patient experience manifold, accelerating business excellence, in tandem.

A recent paper titled, ‘Maximizing your role as a newly appointed real-world evidence leader,’ published by the ZS on March 23, 2022, made similar observations, as above. The study reiterated that patient-generated insights obtained through RWE, are uniquely capable of adding value at different stages of a pharma brand’s life cycle. Or, throughout a patient’s journey on the care pathway of the value delivery system. It concluded: “Carrying out a successful RWE study is a fine balancing act – but its inconveniences and risks are almost certain to be outweighed by the eventual benefits.”

Increasingly used to gain actionable insights to improve patient experience:

In the contemporary market dynamics – driven by changing customer characteristics and behavior, several pharma companies are now effectively combining and analyzing RWD to retrieve RWE. The objective is to gain actionable insights for effective customer engagement for better patient outcomes, to drive business growth. According to a recent podcast by PwC on using data to shape customer journey, the process includes the following:

  • Focusing on the value and outcomes of treatment protocols and less about specific products.
  • Gaining a better understanding of pharma customers and what drives their behavior.
  • Reaching beyond the barrier in driving differentiation amongst competitors.

Conclusion:   

The Forbes article on the Data Science trend in 2022, published on October 04, 2021, aptly epitomized its relevance in today’s business, including pharma industry. It articulated, data science encompasses the practical application of ideas generated by credible and meaningful data from various relevant sources, predictive analytics, and artificial intelligence. Our ability to use such data to our advantage across wide areas in business, would help deliver increasingly worthwhile, valuable, and enjoyable patient experience. 

The article also underscored: ‘If data is the oil of the information age and Machine Learning (ML) is the engine, then data science is the digital domain’s equivalent of the laws of physics that cause combustion to occur and pistons to move.’

Thus, I reckon, both intrinsic and extrinsic brand value creation process, driven by its effectiveness, would increasingly call for Real World Evidence (RWE) based on top-quality Real-World Data (RWD). This is increasingly becoming so critical for success – spanning right across, from product development, launch planning with value propositions – to launch and beyond.

The core purpose of leveraging data science in pharma is, as I see it, is effective decision making throughout the brand life cycle, to deliver a unique patient experience in patients’ journey – with better treatment outcomes.

By: Tapan J. Ray      

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.