Shifting to Value-Based Medicine

Health Technology, Digital Healthcare

Article | August 21, 2023

Global efforts to tackle gender inequality have grown in recent years. But there is still so much to be done. Figures from the United Nations show that outcomes for women and girls continue to lag across a range of issues, including poverty, education, work and health. And according to the World Economic Forum, at the current rate, it will take 108 years to close the gender gap. Although healthcare is founded in objectivity and science, gender bias is still remarkably common. We wanted to understand more about female perceptions of healthcare, so we undertook consumer research that delved into the experiences of women compared to men. The results pointed to a clear disparity, finding that women are less likely to visit the doctor when they have symptoms of ill health and, in some cases, are taken less seriously when they do seek medical advice. Women being left behind According to our research, a significant proportion of British women feel disappointed in the healthcare they receive, with one in five reporting they weren’t taken seriously when presenting symptoms to a healthcare provider. What’s more, a staggering one in four said they are reluctant to seek medical advice at all for fear of wasting a GP’s time. These statistics suggest that, not only are female experiences of healthcare damaging their relationship with clinicians, but they could be eroding confidence in recognising and acting on warning signs and symptoms too. This sentiment is particularly evident when focusing on cardiac care. One in eight women (13%) feel ignored when presenting symptoms of heart disease to healthcare professionals, compared to just 4% of men. And of UK adults who have received a coronary heart disease (CHD) diagnosis, women experiencing symptoms were 55% more likely than men to visit the doctor multiple times before receiving a referral for further investigation. On top of this, women are five times more likely to receive a false finding from the cardiac stress tests that are traditionally used to assess heart health. “There does appear to be a gender bias in onward referral to secondary care and for diagnostics in the local area, which is influenced by the attending healthcare professionals’ risk assessment. Traditional teaching has led to gender bias, as we are programmed to attribute a lower level of pre-test probability and risk to females. This may have contributed to a general lack of awareness around cardiovascular health in women. For example, in a survey I carried out among more than 600 female employees working within North West Anglia NHS Foundation Trust, 82% said they didn’t feel informed about their cardiovascular health. Considering participants included some of the most medically informed women in the UK, the results speak volumes about how we view cardiac health among women.” - Dr Rebecca Schofield, consultant cardiologist at North West Anglia NHS Foundation Trust These widespread misconceptions around heart disease and heart attacks are often exacerbated by what we see in the media – think of the countless TV stereotypes of male characters clutching their chests and falling to the floor. But given that CHD is responsible for one in 13 female deaths, it appears that public health efforts have failed to make people aware of the risks for women. It is, perhaps, not surprising then that 42% of women with CHD did not immediately recognise their symptoms as signs of heart disease. In short, women are missing out on time-critical diagnoses and treatment due to a lack of awareness and education among both healthcare providers and the public. Technologies making a difference Thankfully, progress is being made to improve healthcare outcomes for women. Innovative technologies are increasingly providing diagnostic solutions that can reduce incidences of human bias and give clinicians greater clarity on the presence or severity of different conditions in their female patients. For example, AI is already being used to detect diseases such as cancer more accurately. Its adoption is facilitating reviews and translations of mammograms 30 times faster, with 99% accuracy, reducing the need for unnecessary biopsies. There’s extraordinary potential for AI and healthcare, and it’s something the NHS continues to recognise, most recently with the launch of its Artificial Intelligence Laboratory (AI Lab) and NHS England’s (NHSE) MedTech Funding Mandate. The latter aims to accelerate the uptake of selected innovative medical devices, diagnostics, and digital products to patients. As part of the NHS efforts, NHSE has mandated the HeartFlow Analysis for use in hospitals across England for patients, male or female, who might otherwise be sent for a cardiac stress test. The HeartFlow Analysis is a gender-neutral technology that takes data from a coronary CT scan of the heart and leverages deep learning (a form of AI) and highly trained analysts to create a personalised, digital 3D model of each patient’s coronary arteries. This then helps clinicians to quickly diagnose CHD and decide the appropriate treatment for patients of any gender. Time spent in hospital is minimised for patients and often layered testing and unnecessary invasive diagnostic procedures can be avoided. Final thoughts While AI is helping us tackle gender bias in certain areas such as oncologic and cardiac testing, healthcare professionals are not absolved of responsibility when it comes to confronting this problem. It remains incumbent upon clinicians to recognise unconscious bias that would deter them from referring women or minority patients for much-needed testing. Outside of the hospital, public health education efforts must expand so that far more of us can recognise shortness of breath, nausea, vomiting, back or jaw pain, and other symptoms beyond chest pain to be indicators of a heart attack in a woman. Knowing what to look for and overcoming personal bias that might lead to these signs being disregarded, may allow us to help one of the more than 100 women who will experience a heart attack in the UK today.

Healthtech Security

Article | August 31, 2023

Health tech marketers tend to have a real bias problem. Everyone wants to believe that they have the best product available in the market, and are quite vocal about it on social platforms. But, are those the things your buyers want to know about your products? The biggest mistake you can ever make in health tech marketing is leading it with a technology bias. It will immediately create a distance between your audience and you. If you are working in technology, you can easily assume that everyone knows what you are talking about all the time. You breathe and live your industry. And as the marketer of your company's products, it's your responsibility to go to prospects with your tech company’s message. In your personal life, too, you may talk to your friends and families about your work and realize they have no interest in what you say as they have no idea what you are talking about. That is because they are not immersed in your company or industry. The same can happen in your health tech marketing process with your prospects and customers. Instead of focusing on their problems, if you lead with your technology solution and features of your products and company, you will lose them. It is vital to step back and see the bias you have in your company’s marketing initiatives. How Technology Bias Affects Health Tech Marketing The effects of technology bias in health tech marketing are strongest when the health tech marketer focuses more on technology, product, or company than the buyer's pain points. Customers do not want to know everything about your product. They probably want to know how your product can solve their issues. When approaching buyers with your product, this health tech marketing technology bias can have many adverse effects on the buying process. Technology bias in health tech marketing will lead to failure to get the customers' trust. They feel you are just trying to sell your product by explaining your product's features rather than solving the customer's issues. Technology bias in health tech marketing also will result in a negative effect on brand performance. As a health tech marketer, you are wrong in assuming you can sell your products by boosting the company or products of the company. It will only result in losing the customer's trust if you are not considering the buyers' problems. If you are going on with the practice, it will eventually affect your brand's performance as buyers view you as not genuine. This unfair practice of technology bias in health tech marketing will make you realize that you are losing the customers, even the existing ones. No buyer wants to hear more about the features or the technologies used in your products. They are focused on their issues and want to know how your product can solve those issues. Thus, as a health tech marketer, you may have to focus more on the customer pain points when approaching buyers; this will help you convert potential customers into clients. How to Get Rid of Technology Bias and Improve Health Tech Sales FPX Digital Transformation Study 2019 says that B2B companies have shifted their focus to customer experience from internal efficiency. Most of the respondents agree that they spend much of their digital transformation funds improving the customer experience. An important way to implement a buyer-centric or customer-centric marketing approach is to remove bias about your product from your health tech marketing efforts. Mainly, this has to be removed from the messages you send out in the early stages of the buyer journey. However, making it practical is difficult as it is ingrained in how you write, speak, and present your company to external and internal audiences. Here are some tips to get out of technology bias in health tech marketing and get closer to your customers. Listen to Customers Clearly Successful marketers excel not only in communicating but also in listening. It is impossible to create a message about your health tech product if you do not know what problem it can really solve. It will help if you take the time to know your prospects and customers. Do not let your mind wander thinking about which benefits and features you have to push in your health tech marketing. Remain fully present in video, phone, and in-person meetings. That will help you find they have different problems, and you can solve them differently. When you give importance to listening, you will not waste time and effort solving a problem that you think exists. Instead, you will start developing buyer-centric health tech marketing messages that align with your business. Don’t Assume Anything You hate being in a room where people are talking about a subject you know nothing about. Your health tech buyers may have the same experience if you assume your customers know what you do and how they fit into your space. That’s why it’s essential not to take a “features-first” approach in your marketing interactions. You understand your product's ins and outs, but your prospects don’t and are likely not ready for that. As an effective health tech marketing technique, before you assume anything, give them the complete picture of who you are. Simplify the Message A product-driven language full of jargon will make your brand unapproachable for your audience. You can apply the old phrase here, “keep it simple stupid.” You have to position your technology as sophisticated and robust, not convoluted and tricky, through an effective health tech marketing process. Your health tech marketing content should make sense to people both outside and inside your industry and company. Visitors of your website should not go for additional research to understand what you do precisely. It should be clear from your content. Thus, simplifying your content is essential. Make Your Customer the Hero The hero of your health tech marketing story is not you but your customer. After all, your customers in your industry work hard to deliver better service and results to their customers. Your messages should position you as a mentor for your customers that provides technology support in the job of your customers to drive success. The “customer hero” approach should have a fundamental change in how you speak to your customers. The approach is not fully taken hold in the B2B health tech marketing space so far. Share Real World Stories One of the most practical ways to eliminate technology bias from your health tech marketing is to talk more about your customers and less about your products and company. You have to show you have the purpose of bringing in a fundamental change in your industry that enhances the day-to-day business lives of people and not just sell great technology. Testimonials and customer case studies help a lot in shaping your brand story. Using them, narratives can be created about your customers' journey after and before using your technology. Rather than detailing the benefits and features of technology, narratives highlight the platform's tangible business value for real people in businesses. Final Word Technology brings a change in companies, and most people do not accept changes so quickly. It is because the change pushes people to do things differently by moving beyond their comfort zones. As part of health tech marketing, your job is not to make this change terrifying, but compelling for your buyers. This will happen only when you take your technology out of your head and start focusing on your clients' requirements, problems they face, and what exactly they need from you. It will then surely make you put your product and technology bias aside. And you will be capable of effectively executing your health tech marketing initiatives. Frequently Asked Questions How does health tech marketing become effective? Effective health tech marketing is essential to reach out to potential clients and grab their attention. Health tech marketing becomes effective only when the marketer focuses on the requirements of the clients rather than on the features of the product or company. What is technology bias in marketing? Technology bias in marketing is focusing much on your product or technology when you market a technology product to your prospects. Getting rid of this bias will make you attract more clients and successful in your marketing. How to get rid of technology bias in health tech marketing? Technology bias in your health tech marketing makes the customers put a distance from you. The best way to get rid of it is to make the customer the hero of your marketing messages by focusing on their issues. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How does health tech marketing become effective?", "acceptedAnswer": { "@type": "Answer", "text": "Effective health tech marketing is essential to reach out to potential clients and grab their attention. 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Digital Healthcare

Article | November 29, 2023

Throughout my professional carrier, I iused to visit many companies involved in drug discoveries and had seen the challenges they go through. Some are pleasant as the investigational molecules were moving forward in value chain whereas few faced bottlenecks at the end. The association with Pharma industry over the years had taught me about many new ideas and allowed me to see that how innovative ideas are impacting our social and scientific world to a great extent. The changes we see today, are the results of ideas came from various quarters globally and I feel digital innovation had shaped today’s world differently. The impact of digital platform in today’s Pharma world is a “Game-Changer". Innovation is a continuous process which simplifies challenges into reality and plays a very important role in our society. Centuries ago, scientists used to spend years in laboratories to understand material science. The chemical science evolved around discovering elements, synthesis of compounds or even isolating products from natural resources. Today’s world is highly indebted to those discoveries and efforts and modern science has gradually moved towards digital platform. Last few decades, innovations based on new technology platforms has made huge impact in scientific discoveries and few such ideas and action I feel has brought significant changes. Our lifestyle and social environment have witnessed deep impact due to such innovation. The chemical science is evolved not around only chemists today but have huge influence of mathematicians and technologists for faster development. Advancement of digital science, new algorithms to solve the problems has modified the way of drug discovery to a great extent. In the recent past, we were heavily depended on big machines, but innovation has brought the whole items in a small packet now. The technology platform is modified, speed has increased in identifying new drugs with artificial intelligence (AI) and machine learning is accelerating the drug discovery and development processes. Today’s Pharma industries for commercial supplies are now depended on automation, optimization of the manufacturing processes, as well as designing effective marketing and post-launch strategies. The process is aimed to have better control on the operation, improving safety and better predictability of quality. For conducting clinical trials, identifying patient’s profile, an eligibility criteria is crucial which has been made by the processes being faster and cost effective by introducing Artificial Intelligence (AI). Earlier when focus was to identify the origin of life, finding new elements, compounds or building blocks, today’s world is heavily dependent on data or ‘Big Data’. The amount of information available throughout drug discovery and development process, analyzing, interpreting, and predicting right candidate require high-performance systems to analyze data properly and derive value from it. There is advancement of analytical techniques, which provides more accurate information about the clinical trial reports and the data across patient pool, zeroing down towards right candidate is a real challenge and there are several AI enabled tools available where the processing time is reduced significantly which might have taken several years. The exciting part is that innovation is not only limited to laboratory work but works in coordination of mathematical interpretations, data analysis and provide significant clues to develop new molecules and even provide approach towards therapeutic categories. Currently available advanced technologies enhance drug development process, making it less time-consuming and cost-effective process where AI can recognize hit and lead compounds, and provide a quicker validation of the drug target and optimization of the drug structure design. Data scientists play a very significant role in all these activities. Innovation focusing personalized medicine is now a reality and companies involved in such basic research have made breakthrough to understand how the human body responds to drug. Software solution is also available for simulating effects of drugs in patient body based on individual characteristics, scientific data for real time prediction of efficacy and drug interaction on individual. These predictive models are shortening drug discovery pathways to a great extent. Small molecule drugs or even large molecules development are heavily depended today on such modelling and predictive approach. The aim to reduce cost of drug development, shortening discovery path, focus on clinical trial mechanism is more productive with a higher success rate. During the pandemic period, in a shortest possible manner, several companies started working to develop new drugs or vaccines using drug-specific exposure models for drugs under investigation for the treatment of Covid-19. Similarly, discovery platform is also working on cutting edge technology ‘Organ-on-a-chip’ that can emulate the physiological environment and functionality of human organs on a chip for disease modeling, mimicking the impact and could be a game changer in future. I will be happy to see when technology platform can accurately predict human mind and with the help of AI, can find a probable solution to avoid any such complex conflicts. It would be interesting to see that AI is analyzing and predicting the chemical change in the bodies impacting human mind and analysisng it quickly to predict psychological behavior of the patient and guide physician for right therapy. This may lead to predicting problems one may face in old ages where the decays may be prevented at early stage. This is a challenge but understanding and predicting psychological behavior may improve patients’ life. Depression and its remedy may be based on understanding changes, patterns of physicochemical behavior and its impact during mood swing and predicting such things in advance by using the advanced AI tools could be a game changer. Another path breaking development where technology involving both engineers and scientists to help drug design to obtain maximal therapeutic benefits for patients including designing drug delivery systems and biomedical devices is 3D-printing technology. This involves high end computer simulations making analysis faster and predictive than before. Influence of 3D printing in designing variety of dosage forms has simplified its preparation. Though further study is under progress but the technology implementation at late has reduced cost of drug development to a significant extent and will add value in future drug development. It is interesting to see how this 3D printing technology works on human brain mapping and predicting a right path for treatment for betterment of large patient pool. Today with advanced technology, we are now more dependent on machines, limited close interaction with our near and dear ones, but created more friends on social platform. Though life looks easy, but over dependent on machines is creating another complex environment and this growing complexity may change the disease pattern. It will be interesting to see that how these technology platforms improve further to ease out such complexities for a healthy future.

Article | December 8, 2020

A cruelly ironic truth is that nurses and other caregivers assisting injured and ill patients often wind up injured themselves. In fact, the caregiver profession has among the highest rates of injury, with back injuries being the most common and the most debilitating. Every year, more than 10% of caregivers leave the field because of back injuries. More than half of all caregivers will experience chronic back pain. Most back injuries to caregivers happen when lifting patients from beds or wheelchairs. Injuries can occur instantly, but they can develop over time as well, often without the caregiver’s awareness. For example, the caregiver can sustain disc damage gradually and not feel any pain, and by the time he or she does experience pain, there can already be serious damage.