How Pharma Growth Strategy Now Extends Beyond Human Intelligence

That the drug Industry’s growth strategy now extends beyond human intelligence, across the value chain, are being vindicated by several reports, around the world since several years. Illustratively, on September 1, 2019, Novartis and Microsoft announced a multiyear alliance which will leverage data & Artificial Intelligence (AI) to transform how medicines are discovered, developed and commercialized.

The trend is going north and fast. For example, on November 28, 2023 another such report highlighted yet another interesting initiative. It reported that to advance – mind boggling generative AI and foundation models. These extend the technology’s use beyond language models, for which Boehringer Ingelheim collaborates with IBM to accelerate its pace of creation of new therapeutics.

There isn’t an iota of doubt now that AI is rapidly transforming the pharmaceutical industry, including the way companies market their products. The technology is being used in a variety of ways to improve marketing effectiveness, reach new audiences, and personalize patient interactions, among many others.

wrote about the need to leverage AI in pharma marketing on July 26, 2021. However, in today’s article, I shall focus on the criticality of investment in collaborative partnership in the AI space including generative AI, to acquire a cutting edge in the business process, for performance excellence. Let me start with some specific areas of relevance of using AI in pharma marketing space:

Examples of the relevance of using AI in pharmaceutical marketing:

  • Personalized drug recommendations: AI can be used to analyze patient data and recommend the most appropriate drug treatments for each individual patient. This can help to improve patient outcomes and reduce the risk of adverse drug events.
  • Patient education and support: AI can be used to provide patients with personalized education and support materials. This can help patients to better understand their conditions and make informed decisions about their treatment options. 
  • Real-time feedback and insights: AI can be used to collect and analyze real-time feedback from patients. This feedback can be used to improve the effectiveness of marketing campaigns and develop new products and services.

Several years ago, on October 31, 2016, I wrote in this blog on the relevance of Artificial Intelligence (AI) in creative pharma marketing. Interestingly, today it appears that many pharmaceutical companies are fast realizing that AI is rapidly transforming the drug industry, in its entire value chain. Now from its relevance let me dwell on the examples of specific areas where the pharma companies have started leveraging AI in their marketing processes.

Several areas where pharma companies are using AI in marketing:

  • Improving marketing effectiveness with targeted advertising and audience segmentation: AI algorithms can analyze vast amounts of data to identify the most effective channels and messaging for specific patient populations. This allows pharma companies to reach the right people with the right message at the right time, maximizing the impact of their marketing campaigns. 
  • Reaching new audiences: AI can help pharma companies to identify and reach new patient populations that may not have been accessible through traditional marketing channels. This can be especially helpful for reaching patients with rare diseases or who live in remote areas. 
  • Patient journey mapping and engagement: AI can be used to track patient interactions with a company’s brand, from initial awareness to post-purchase behavior. This data can be used to create personalized patient journeys, providing the right information and support at each stage of the healthcare process.
  • Chatbots and virtual assistants: AI-powered chatbots can provide 24/7 customer support, answering patient questions and addressing concerns. Virtual assistants can also help patients manage their medications, schedule appointments, and track their health data. 
  • Personalized patient interactions: AI can help pharma companies to create personalized patient experiences that are tailored to the individual needs and preferences of each patient. This can lead to improved patient satisfaction and adherence to treatment plans. 
  • Predictive analytics and market forecasting: AI can analyze historical data and current trends to predict future market demand for specific products or therapies. This information can help pharma companies make informed decisions about product development, marketing strategies, and resource allocation. 
  • Targeted drug discovery and development: AI is being used to accelerate the drug discovery and development process by identifying potential drug candidates, predicting clinical trial outcomes, and optimizing the design of new therapies. 

These point out, with the use of AI in pharmaceutical marketing, drug players can reap a rich harvest of several important benefits. Now, let me illustrate this point with some of both global and local examples of companies in this area, from available reports.

Global examples of how pharma companies are using AI in marketing:

As reported:

  • Novartis is using AI to personalize patient interactions and improve adherence to treatment plans. 
  • Pfizer is using AI to develop targeted advertising campaigns that reach the right patients with the right message.
  • Merck is using AI to identify new drug targets and accelerate the drug discovery process.
  • AstraZeneca is using AI to improve patient safety and reduce adverse drug events.

It is also gathering momentum within Indian healthcare industry:

As AI technology advances across the globe, we can expect to see more and more innovative applications of AI within different areas of the Indian healthcare industry, including pharma marketing. Encouragingly, several organization specific initiatives are now being reported on the use of even generative AI in the healthcare space. These include, as reported:

1.  Targeted advertising and audience segmentation in India: 

  • Sun Pharma is using AI to target its marketing campaigns to specific patient populations based on their demographics, medical history, and online behavior. This has helped the company to increase the reach and effectiveness of its marketing campaigns. For example, in 2023, Sun Pharma partnered with an AI startup to develop a new algorithm that can identify potential patients for its diabetes medication Lipaglyn. The algorithm uses data from patient electronic health records, social media, and wearable devices to create a profile of each patient. This information is then used to target Lipaglyn ads to patients who are most likely to benefit from the medication.
  • Dr. Reddy’s Laboratories is using AI to segment its patient audience based on their risk of developing certain diseases. This information is then used to develop targeted marketing campaigns that promote the company’s preventive healthcare products. Illustratively, in 2023, Dr. Reddy’s Laboratories launched a new marketing campaign for its cholesterol medication Ezetimibe. The campaign uses AI to target ads to patients who are at risk of developing heart disease. The AI algorithm uses data from patient demographics, medical history, and lifestyle factors to identify patients who are at high risk.

 2. Patient journey mapping and engagement:

  • Apollo Hospitals is using AI to track patient interactions with its brand and create personalized patient journeys. This includes providing patients with relevant information and support at each stage of their healthcare journey, from diagnosis to treatment to follow-up care. Even in In 2023, Apollo Hospitals launched a new patient engagement platform that uses AI to provide patients with personalized information and support throughout their healthcare journey. The platform includes a chatbot that can answer patient questions, a virtual assistant that can help patients schedule appointments, and a personalized health dashboard that tracks patient progress.  
  • Fortis Healthcare is using AI to develop chatbots that can answer patient questions and provide 24/7 customer support. This has helped the company to improve patient satisfaction and reduce call center costs. As reported, Fortis Healthcare’s 2023 AI initiatives demonstrate their commitment to leveraging technology for better patient care, efficient operations, and improved healthcare experience. By integrating AI across various departments and functions, they are paving the way for a more intelligent and personalized future of healthcare in India. 

4. Predictive analytics and market forecasting:

  • Cipla is using AI to predict future market demand for its products. This information is then used to optimize the company’s supply chain and production processes.
  • Lupin is using AI to forecast the potential success of new drug candidates in clinical trials. This information is then used to make informed decisions about which drugs to invest in further development.

5.  Drug discovery and development: 

  • Glenmark Pharmaceuticals is using AI to identify potential drug targets and design new therapies. This has helped the company to accelerate the drug discovery and development process.
  • Syngene International is a contract research organization (CRO) that uses AI to analyze preclinical data and predict clinical trial outcomes. This information is then used to help pharmaceutical companies make informed decisions about their clinical trial programs.

Conclusion:

Despite a plethora of pathbreaking and business performance enhancement opportunities that advanced application of AI offers, there are also some key challenges, which need to be effectively addressed by engaging with the Indian policy makers and the regulators. These areas include:

  • Data privacy: Pharma companies need to be careful to protect patient data when using AI. This includes obtaining patient consent for data collection and using anonymized data whenever possible.
  • Transparency: Pharma companies need to be transparent about how they are using AI in their marketing campaigns. This will help to build trust with patients and regulators.
  • Regulatory compliance: Pharma companies need to ensure that their use of AI complies with all applicable laws and regulations.

That said, regardless of these challenges – as I wrote on July 15, 2019, about the potential of disruptive impact of AI in Indian pharma marketing – such initiatives are fast gaining momentum.

Which is why, more often, an organizational growth strategy has now the scope to germinate beyond the human intelligence of marketers. In this scenario, I reckon, those pharma companies who will be capable enough to overcome these challenges, whatever it takes, to get the best of rapidly advancing technology of AI – will be better positioned to excel in the future.  

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.

Disruptive Digital Innovation To Reduce Medication Need?

Application of digital technology in various spheres of not just business, but in our individual day to life also, promises a disruptive change for the better, from the traditional way of doing things and achieving goals – freeing a lot of precious time for us to do much more, and even faster. An impending tsunami of this digital revolution, as it were, is now all pervasive, with various digital application platforms becoming increasingly more cost effective, quite in tandem with the fast pace of cutting-edge innovation. This is so different from what is generally witnessed in the pharma business.

Interestingly, despite high demand for cost effective health care from all over the world, not much progress in this area is still visible within this industry, in general, and particularly in the pharma business. Various reasons may be attributed to this apathy, which I shall not venture to go into, today.

On the other hand, sniffing a huge opportunity in this largely vacant space, many tech giants and startups are investing heavily to make health care of people easier, and at the same time reap a rich harvest, far outpacing the big pharma players.

As I connect the different dots on world-class digital initiatives in the health space, a clear trend emerges on the global scenario. The way Internet revolution, to start with, followed by smartphones and many other wireless digital services is changing the rhythm of life for many making it much easier, is just amazing. These include a plethora of everyday ‘must-do’ and several other functions, such as, precise need-based information gathering, online banking, tax-filing, shopping, payment, social networking, cloud computing and storage, besides a gamut of other digital services.

Similar disruptive digital innovations are expected in the health care space too, involving many long-awaited patient-centric areas, such as, significant reduction in the cost of medication. I discussed a similar issue in one of my earlier articles, published in this blog. However, today, I shall focus on this specific area, in view of its possible huge impact on the traditional pharma business model.

May reduce need of medication:

That tech startups are developing digital tools that reduce the need of medication, was very recently reported in an article titled, ‘Digital disruptors take big pharma beyond the pill’ published in the Financial Times on April 24, 2017. For example, a California-based startup, has reportedly come out with a digital device, smaller than an iPhone and fitted with a cellular chip, that can keep instant and accurate track of blood sugar levels. If the readings fall in the danger zone, an appropriate text message will be automatically generated for the person, such as – “drink two glasses of water and walk for 15 minutes”. The individual can also seek further help over the telephone from a trained coach – a highly-qualified dietitian for further guidance, the article highlights.

The whiz kid developers of wearable digital devices and apps are now intently working on many innovative health care solutions. Many of these can help early disease detection, and chart the risk profile of persons prone to various ailments, based on an enormous amount of well researched scientific data, significantly reducing the need of medication through effective disease prevention and management protocols. For example, there are umpteen evidences, demonstrating that specific moderate physical exercises help control diabetes just as well as medication, when detected early.

Thus, I reckon, such wearable digital devices and apps carry a huge promise to detect many diseases like, diabetes at its very onset or even before, and influence the person to take the necessary measures. In case of diabetes, it could be like, walking a certain distance every day, along with regular dietary advices from a remote center. Won’t such digital interventions work out far cheaper and convenient than lifelong visits to physicians and administration of anti-diabetic drugs?

The notes of the pharma business playbook need to be rewritten?

Let me quickly elaborate this point with an example of a common chronic ailment, say, diabetes. For effective management of this disease, global pharma players prefer to focus on better and better antidiabetic drug development, and after that spend a fortune towards their effective sales and marketing for generating enough prescription demand. Branded generic manufacturers are no different. This is important for all of them as most patients will have to administer the medicines for chronic ailments for a lifetime, incurring significant recurrent expenses for effective disease control. The first access point of such disease management has always been a doctor, initially for diagnosis and then for lifelong treatment.

Disruptive digital innovation could change the first point of intervention from the doctors to various digital apps or devices. These digital tools would be able to check and capture the person concerned predisposition to chronic diseases like, hypertension and diabetes, besides many other serious ailments, including possible cancer. When detected early, primary disease management advice would be available to patients from the app or the device itself, such as, the above-mentioned device for diabetes. If the preventive practices can manage the disease, and keep it under control, there won’t be any serious need to visit a doctor or pop a pill, thus, avoiding any need of active medication.

In that sense, as the above FT article has articulated, ‘rather than buying a pill, people might buy an overall solution for diabetes’ can’t be more relevant. When it happens, it will have a multiplier effect, possibly impacting the volume of consumption of medicines, just as what disease prevention initiatives do. Consequently, the notes of the pharma business playbook may have to be rewritten with right proactive measures.

As reported, the good news is, at least a couple of global pharma players have started fathoming its impact. This is apparent from Sanofi’s collaboration on digital devices and patient support for diabetics, and to some extent with Pfizer on immuno-oncology, using expertise in data analytics to identify new drug targets.

The key players in this ‘healthcare value chain’:

When the digital health care revolution will invade the current space of traditional-health care, it will create both the winners and losers. This was clearly highlighted in an article titled, ‘A digital revolution in healthcare is speeding up’, published by ‘The Economist’ on March 02, 2017.

From this article, it appears, when viewed in the Indian context that primarily two groups of players are currently ‘fighting a war for control’ of this ‘healthcare value chain’, as follows:

  • Traditional innovators: These are pharma companies, hospitals and medical-technology companies, such as, Siemens, GE and Phillips.
  • Technology insurgents: These include Microsoft, Apple, Google, and a host of hungry digital entrepreneurs and startups – creating apps, predictive-diagnostics systems and new devices.

Where is the threat to traditional pharma innovators?

This emerging trend could pose a threat to traditional innovators as the individual and collective knowledge base gets wider and wider – the above article envisages. With the medical records getting increasingly digitized with new kinds of patient data available from genomic sequencing, sensors and even from social media, the Government, including many individuals and groups, can now get a much better insight into which treatments work better with avoidable costs, on a value-based yardstick. For example, if digital apps and wearable devices are found even equally effective as drugs, with the least cost, to effectively manage the menace of diabetes in the country, notwithstanding any strong ‘fear arising’ counter propaganda, as we often read and here and there, those will increasingly gain better acceptance from all concerned.

The moot question, therefore, arises, would the drug companies lose significantly to the emerging digital players in the health care arena, such as, Microsoft, Apple and Google?

Tech giants are moving faster:

In several disease areas like, cancer and diabetes, the tech giants are taking longer and bigger strides than the traditional pharma innovators. For example:

  • Microsoft has vowed to “solve the problem of cancer” within a decade by using groundbreaking computer science to crack the code of diseased cells so that they can be reprogrammed back to a healthy state.
  • Apple has a secret team working on the holy grail for treating diabetes. The Company has a secret group of biomedical engineers developing sensors to monitor blood sugar levels. This initiative was initially envisioned by Steve Jobs before his death. If successful, the advance could help millions of diabetes patients and turn devices, like Apple Watch, into a must-have.
  • Verily – the life sciences arm of Google’s parent company Alphabet, has been working on a “smart” glucose-sensing contact lens with Novartis for several years, to detect blood glucose levels through tears, without drawing any blood. However, Novartis has since, reportedly, abandoned its 2016 goal to start testing the autofocus contact lens on people, though it said the groundbreaking product it is “progressing steadily.” It has been widely reported that this could probably be due to the reason that Novartis is possibly mulling to sale its eye care division Alcon.
  • Calico, which is also owned by Google’s parent company Alphabet, has US$ 1.5 billion in funding to carry out studies in mice, yeast, worms and African naked mole rats for understanding the ageing process, and how to slow it, reports MIT Technology Review.

No wonder, why an article published in Forbes magazine, published on April 15, 2017 considered these tech giants as ‘The Next Big Pharma’. It said, ‘if the innovations of Google and Apple are another wake-up call for the life science industry, which oftentimes has relied on the snooze function of line extensions and extended-release drugs as the source of income and innovation.’

In conclusion:

An effective disease treatment solution based on different digital platforms has a key financial advantage, as well. This is because the process of generation of huge amounts of credible scientific data, through large pre-clinical and clinical trials, establishing the efficacy and safety of new drugs on humans for regulatory approval, is immensely expensive, as compared to the digital ones.  Intriguingly, no global pharma player does not seem to have launched any significant digital health care solution for patients to reduce the overall cost of disease burden, be it prevention or management.

In that context, it’s encouraging to note the profound comment of the Chief Operating Officer – Jeff Williams of Apple Inc., made during a radio show – ‘Conversations on Health Care’, as reported by ‘appleinsider.com’ on January 06, 2016. During the interaction, Williams reiterated that the rapid progress of technology in this direction is very real, as ‘Apple’ and other smartphone health app developers are stretching the commoditization of computer technology to serve health sciences. In not so distant future, with relatively inexpensive smartphones and supporting health apps – the doctors and researchers can deliver better standards of living, even in severely under-served areas like Africa, where there are only 55 trained specialists in autism.

Thus, it now looks reasonably certain to me that disruptive digital innovation on various chronic health care solutions is ultimately going to reduce the need of medication for many patients, across the world, including India, significantly.

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.