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Innovative Conversational AI Technology - Why Pharma Should Invest

Ian Welburn • Oct 03, 2023
Innovation

Recent technology advances include pioneering work using a unique combination of digital human and conversational AI technologies to enable patients to access the information and support they need about medications to reduce poor adherence and thereby optimise health outcomes. Additionally, Clinicians can have scientific and medical discussions, and access information about pharmaceutical products to drive their confidence to prescribe those medications. 

It should be noted that the use of AI discussed here is within conversational technology and not the collection of big data, which is a common misunderstanding.

Why life science needs to embrace this technology…
  • Pharma needs innovative ways to maintain and ideally increase contacts with Clinicians.
  • Pharma continues to push for more sales at a time when access to their target audience is halved, and many Pharma Cos are reducing sales team numbers.
  • Market share remains a key metric for Pharma and declining contact with their audience is a problem yet to be solved. Innovation offers a way to increase touch points and augment the role of existing sales, medical, and support teams.
  • Clinicians expect to operate differently via online options and at times to suit them; a rep can’t call at 6.00am or 11.00pm. The model has changed.
  • Coverage of Clinicians with new information has always been slow; technology offers the fastest option ever to contact Clinicians re: product updates and changes – a ‘product launch on overdrive’!
  • Pharma will want to drive patient adherence to their medications; this technology can deliver that, and patients will engage, resulting in better health outcomes,
  • For many patients a prescription is only part of the solution, and a behavioural change is essential for best outcomes; this technology can proactively engage patients to support, educate and reassure.
  • Analytics are not designed to compete with the plethora of existing major providers; however, they can offer immediate feedback on key aspects of any Clinician engagement, with reference to reaction to the product and competition, and other core medical data such as prescribing habits and dosages. This will be unique data, relevant to the reality of Clinician practice.
  • The pharma sales model needs to change from “Push to Pull” engagement. This technology enables a new level of engagement that the Clinician can feel more in control of. This can also be extended to other professionals within the Clinician practice, thus building new communities to embrace the brands. 
  • Engagement with Clinicians can be further enhanced through offering links to educational and patient focussed information when appropriate.
  • Brand loyalty can be enhanced by enabling Clinicians to offer better support to patients; it can improve outcomes and reduce unnecessary, and time consuming, visits by answering common questions and dealing with concerns.
This technology enables unlimited access for Clinicians and provides infinite accessibility for patients. This technology is ‘life science ready’ which means it will always be 100% compliant and consistent for legal and data requirements – something never achieved before or available via generally available conversational technologies.

Importantly for pharma and med tech, this technology delivers consistency of messaging and enables Clinicians and patients to access the information they need 24/7, essential for worried patients.

The technology will help to change behaviours, particularly patients, regarding their understanding of the reasons for taking a medication correctly and completely, resulting in improved adherence which will have a significant positive impact on health system costs globally.

Summary: Access to customer groups is in significant decline and yet the need is there for education and support for Clinicians in the use and understanding of prescribed medications. Pharma is constantly searching for alternate ways to engage with Clinicians to protect brand revenues and now proactively promote to patients to improve health outcomes.

Author: Ian Welburn
Date: 2nd October 2023
Email: ian.welburn@ecoutai.net

17 Apr, 2023
The age-old problem of patient non-compliance, which costs the global pharmaceutical industry $630 billion per annum, the NHS around £500 to £800 million per annum, and the US health systems $250 billion per annum, has never been solved by human only means. It is now time to augment human activities using the latest technology solutions, available to life science and healthcare for the first time. Why do patients not take their medication correctly? Physicians don’t have time to educate patients, and many don’t have the communication skills to achieve this; in the average 6-minute consultation, patient behaviour doesn’t change plus it’s more difficult to see physicians post Covid-19. A staggering 50% of patients don’t complete prescribed drug courses or take them properly. Not only does this patient non-compliance seriously affect health outcomes, it also significantly reduces the lifetime value of brands. While market share remains even harder to grow and is complicated by a declining available audience, consider what is lost though non-compliance and how reducing that decline can have a huge effect on market shares. The more the patient understands, the better the outcome. One of the main factors to better patient compliance and outcomes is for the patient to fully understand why they have been prescribed a particular product or medical device, and what it will achieve for them. They also need to be competent in how to take the medication and confident that, whatever the journey, for example side effects, they will achieve the best results by taking the full course of prescribed medication in the right way. Additionally, for a patient to have a good grasp of the disease/therapy area from medically approved sources, the better their understanding and belief in the treatment. The best patient outcomes are about behaviour. Digital Humans enable patients to understand and learn new behaviours, which for many with chronic conditions cannot be overlooked, for example, a newly diagnosed diabetic or asthmatic faces a huge ‘life change’ and in the typical 6 minutes they have with a physician, are very unlikely to understand what it all means. Patient’s minds are in a state of concern, even panic, considering all the negative views and often differing opinions they may have read on the internet. They have medical support brochures of course, but with an average reading age of 9 in the UK and United States for example, many will not understand even the basic medical content. It can take many weeks or months to change a lifetime of certain behaviours, and frequent returns to their doctor or nurse for more advice is a frustration for everyone, more so with post-covid-19 appointment issues. Even at follow-up appointments, some patients will not ask the right questions, for example “will I put on weight if I take this?” or “will it affect my sex drive?”. Questions like that, if left unanswered, will likely increase the risk of non-compliance. We must further consider the negative effects of internet blogs by unqualified ‘lay people’ that can undermine approved clinical information. We see more and more unqualified ‘influencers’ making claims that have no clinical basis or evidence; these claims worry patients with dis-information. Pharma and healthcare providers need to protect against this to ensure the patient gets the full and honest facts, based on 10-15 years of research that will enable most patients to have successful outcomes through full compliance. Helping patients achieve better health outcomes. Digital Human technology is designed to improve patient outcomes by significantly reducing patient non-compliance to prescribed medication. The technology enables patients to access comprehensive, understandable, compliant, and consistent information, conversation, and support, on demand 24/7 about products and therapy areas, so that they understand the importance of taking the full course of medication and how to take it properly. This technology is reactive by answering patient questions and offering them access to educational support, but also ‘proactively’ connecting with the patient on a prescribed number of occasions to see how they are progressing, helping them understand better, and answering any questions or concerns. So how can we achieve the best health outcomes? Let’s not keep doing want we’ve always done – the technology innovation to help is here now – Science Fact not Fiction! Ian Welburn is Founder and CEO of Ecoutai Limited.
17 Apr, 2023
These technologies will change how you engage healthcare professionals (HCPs) and provide optimal patient support. Sales technology is pervasive in sales culture and increasingly affecting sales’ go-to-market strategy. According to a recent Gartner survey, more than eight in 10 senior sales leaders believe effective use of technology is important for meeting revenue targets. So, it’s no surprise that 7 in 10 sales organizations planned to increase their sales tech spend in 2022. “Adopting innovative uses of emerging technologies and practices provides organizations with a competitive edge,” says Dan Gottlieb, Senior Director Analyst at Gartner. “It enables the organization with new capabilities to influence the core priorities of an organization: pipeline generation, seller execution and account growth.” New sales technologies have the power to significantly affect the function through the coming years, but in many cases have yet to be productized for sales organizations. Chief executive officers and senior leadership must recognize, prioritize and respond to these disruptive changes to determine the best course of action. No. 1: Multimodality By 2030, sellers will only manually enter information into applications if they so choose. The days of begging sales teams to enter data is over. Multimodality provides multiple methods for ‘salespeople’ to log activities other than entering them through a keyboard into a CRM. These technologies all interface with CRM technology and encourage frontline sellers to capture CRM data. For example, sellers could tap their phone, call, or even chat with a CRM while an AI system takes down their inputs and fills in the required information. No. 2: Generative AI By 2025, 30% of outbound messages from large organizations will be synthetically generated. Content is increasingly important for sales, considering HCPs expect hyper-relevant and personalized experiences. And it’s hard for sales teams to keep up. With generative AI, sales teams will never have to beg for content again. Generative AI produces content (like images, video, emails, presentations and data sheets) typically created by humans, and does so without direct human bias through either an augmented approach but still ensuring compliance within our highly regulated industry. Although AI can help to ensure the right content is available for sellers, pharma companies must still ensure that content is easily accessible, in the right place, at the right time. No. 3: A mix of augmented and virtual realities By 2025, 80% of all interactions will occur in digital channels. The metaverse – a collective virtual space, created by the convergence of virtually enhanced physical and digital reality – will fundamentally change collaboration, engagement and connectedness. And the core technologies of the metaverse, like avatar fronted conversational AI technology (CAIT), augmented reality (AR) and virtual reality (VR), will be critical sales channels to use in HCP engagement, meetings, product demonstrations and sales training. CAIT enables HCPs to engage with the industry ‘on-demand’ and provides patient support, AR layers digital experiences over the physical world. VR enables you to enter into a unique digital place and participate in activities such as meetings, training or design reviews. This computer-generated environment enables collaboration and encourages engagement. No. 4: Emotion AI By 2025, AI identification of emotions will influence 30% of the messaging a HCP receives. Emotional intelligence is important, particularly for salespeople who need to “read the room,” which is hard to do in virtual environments. Cue emotion AI, which analyzes, processes and responds to emotion based on four core components: Natural language process-based phonetic and text analysis, which includes sentiment analysis in conversation and the ability to find patterns and trends. Computer-vision-based facial expression analysis, which looks for patterns and trends in response to stimuli. Audio-based speech analysis, which detects a combination of emotional states with facial and muscle movement. Biometric and other sensors (like heart rate) to analyze behavior. By 2024, emotion AI will influence approximately half of the online adverts buyers in our communities see. This technology reads faces and determines what communication will work for a given HCP. These applications of emotion AI will change the way our sales teams engage with HCPs. And by extension, will also change sales enablement. No. 5: Digital Twin of the Customer The market for digital twin enabling software and services is expected to reach a global revenue of $150 billion by 2030, up from $9 billion in 2022. What if you could test programs on your HCP customers whenever you want? A digital twin provides a dynamic virtual representation of the customer created from digital and physical interactions to emulate and predict behavior. The digital twin takes in data from personas and runs tests for sales messaging, sales process, marketing campaigns, and notes what works and what doesn’t. Unlike a simulation, a digital twin is dynamic; it’s constantly receiving data and can update its findings, enabling analysis in real time as new signals come in. No. 6: Digital Humans By 2026, 50% of HCPs will interact with a digital human in a buying cycle. The salesforce of the future is a hybrid of humans and machines. Digital humans that engage with customers will fundamentally change who sells and how they sell. The use case for digital humans isn't about replacing humans. It’s about streamlining and optimising the teams of human sales professionals by enabling HCPs to access 100% compliant and consistent information and data 24/7, and the digital humans taking on tasks that humans don’t want to do, such as promoting legacy brands, dealing with MSL FAQs and much more. Dan Gottlieb is a Sr. Director Analyst in the Gartner for Sales Practice. Contributor: Jordan Turner Ian Welburn is Founder and CEO of Ecoutai Limited.
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