Healthtech Security
Article | August 31, 2023
Embracing the AI Revolution: Transforming Digital Healthcare Software through AI-Enhanced UX Testing
The wave of demographic change sweeping the United States presents an urgent call to action for healthcare providers. According to the US Census Bureau, adults over 65 will account for a quarter of the US population by 2060, signaling a drastic shift in healthcare delivery needs. More than half a million of this demographic will be centenarians, accentuating the need for digital experiences tailored to seniors' unique needs.
Despite the rapid advancement of digital health technologies, research indicates that many senior citizens struggle to adapt. A recent study reported that 40% of adults over 65 believe their telemedicine visit was inferior to traditional in-person care, with a meager 5% finding it superior. The promise of convenience delivered by digital health is often overshadowed by the frustration associated with technical difficulties. An astounding 75% of senior citizens admit they need assistance when using new electronic devices.
Let's consider the patient portal app, a common touchpoint in the digital health journey. Despite its apparent simplicity, seniors find processes like logging in troublesome due to issues like forgotten passwords, technical bugs, or content readability. This scenario underlines the crucial need for comprehensive User Experience (UX) testing to eliminate these barriers and provide a seamless digital health experience.
The Complex Landscape of Healthcare UX Testing
The complexity of UX testing in healthcare has been exacerbated by the interplay of multiple modules, services, platforms, and vendors. Take Electronic Medical Record (EMR) systems, for instance, which undergo frequent updates, each one potentially impacting the system as a whole. Traditional manual testing methodologies are proving to be time-consuming and costly.
Though automation has revolutionized sectors from automotive to finance, the healthcare industry appears to be lagging. A study by the Health Information and Management Systems Society (HIMSS) reveals that a mere 15% of healthcare providers have adopted modern test automation platforms. Meanwhile, a significant 41% still rely on manual testing. As EMR systems grow increasingly complex and customized, this over-reliance on manual testing poses daunting challenges.
The gravity of this issue is amplified by a startling revelation from the HIMSS study - only 6% of healthcare executive leaders express confidence in their organizations' testing practices. In an increasingly digitized healthcare environment, such a low level of assurance raises substantial concerns about patient safety. Although 75% of the surveyed providers have invested in software testing to safeguard their bottom lines, nearly two-thirds confess feeling inadequately resourced in terms of time, money, and talent to meet future testing requirements. As the list of testing demands grows, QA teams are frequently stretched thin, leaving many potential user journey scenarios untested.
The Power of AI in UX Testing for Better Patient Outcomes
AI technologies hold the potential to revolutionize UX testing in healthcare.
The modern healthcare application is a labyrinth of potential user journeys - a typical mobile application model can yield over 9 billion separate scenarios. To effectively navigate this colossal testing landscape, test automation tools employing Machine Learning (ML) algorithms are critical.
By analyzing historical patterns, prioritized cases, and real-user insights, ML algorithms can auto-generate test cases and meticulously scrutinize each user interaction. This approach ensures an optimal digital experience and robust coverage of potential issues.
The HIMSS study also provides a glimmer of hope, revealing that nearly 80% of healthcare providers plan to adopt real-time testing analytics for quality assurance. AI's role becomes pivotal in augmenting the capacity of software testing teams in this scenario.
By leveraging historical patterns and prioritizing test cases, ML-powered testing tools can automate crucial tests across various platforms, devices, and operating systems. This symbiosis of human expertise and AI not only bolsters productivity but enables comprehensive testing coverage within tight time constraints.
The Future of Healthcare Software UX Testing
The path to perfecting a patient’s digital journey is fraught with challenges.
Healthcare organizations venturing into automated software testing or contemplating in-house tool replacement must stay abreast of evolving healthcare testing requirements. This understanding is key when evaluating automation vendors against the backdrop of regulatory standards. Opting for a technology-agnostic solution ensures extensive test coverage, boosts efficiency, and guarantees longevity as technologies advance. Introducing your software QA teams to user-friendly, low/no-code test automation tools can simplify the onboarding process and fosters better collaboration with Dev teams and business testers.
As we stand at the precipice of this transformative period in healthcare, it's clear that the AI revolution holds the key to unlocking the future of digital healthcare UX testing. By harnessing AI's potential, healthcare providers can ensure a user-friendly, seamless digital experience for the fastest-growing demographic, setting new industry standards in the process.
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Health Technology
Article | September 12, 2023
Yes, empathy has become a fad.
Connecting to another human is actually something cool kids do now. If a brand doesn’t have an impact model that includes a practical social issue, consumers tend to not take that brand seriously. In this case, empathy needs to be revisited beyond the trend itself for these strategies to have real, lasting impact.
Practical strategies around compassion meanwhile have similarly become an intrinsic part of social impact organisations. They have become so commonplace that prosocial behaviour has strayed into a kind of tokenism. It is common for instance for consumers to donate their hard-earned money to companies who focus their energies on trying to alleviate real-world issues.
The question then is whether this proxy for compassion isn’t in fact watering down human connections, as well as our positive impact on the issues business and organisations seek to solve with our help.
Postmodern behavioral science
If it is, then we must understand why and how to change that. This is where postmodern behavioral science provides a possible better alternative to social impact strategies. Postmodern behavioral science suggests that the current approach to understanding human behaviour lacks even a rudimentary understanding of empathy, defined in the area of social impact as a discursive strategy that allows us to feel what the group we are trying to help is feeling.
Of course, compassion has very close ties with empathy. Empathy is an innate ability we all have, one that we can learn to develop and fine-tune over time. It is our emotional connection to another human, though one that lies beyond our own ego. It takes the perspective of the person who is struggling and seeks to understand their life, their struggle, and their worldview. It also resolves to value and validate their perspective and experience — something that donating money to a social impact cause does not.
In its broader definition, empathy is a shared interpersonal experience which is implicated in many aspects of social cognition, notably prosocial behavior, morality, and the regulation of aggression.
Empathy has a host of positive after-effects when applied as an interpersonal experience. If a social impact organisation is preoccupied with raising capital, then it is likely to disregard the practical worth of empathy for those who truly want to achieve its mission.
Immersive empathy
One way that behavioral science can contribute is to utilise tools that can help augment the experience of those in need for those needing to understand those needs. Both AR and VR can help people visualise and follow the stories of those who require compassion. These create virtual environments for partners, governments, and consumers to experience with the people they seek to help.
But of course, much of human behaviour is geared toward seeking pleasant experiences and avoiding unnecessary pain. Our in-built hedonic valuation systems guide decisions towards and away from experiences according to our survival instincts.
This is precisely why business owners who want to encourage empathy in their customers go the easy route, but should seek a more participatory frameworks to inspire and provide experiences for those on board with a social mission.
Then there are issues like financial literacy in underserved populations, access to clean water, education for women and girls, and environmental conservation, to name a few of the problems that social impact companies are attempting to tackle.
If a company is trying to tackle an issue such as access to clean water, then rather than start there, it should first ask exactly how this issue arose and developed. It should question the beliefs that underpin this chronic social inequality, those that inform policies, practices, cultural taboos, and beliefs about water and people’s access to it.
To simply respond to an issue in its developed form is to leave it unfixed. We must be willing to reverse engineer the origins of that issue that got us to where we are. In other words, human behaviour is not the only component to consider in this.
The main behavioral framework public servants should take with them is to develop a nudge unit solely based on the relationship between behavioural science and technology.
This is mainly because technology is an inevitable part of how we now relate to one another. Immersive Compassion meanwhile should embrace tools like AR/VR that seek to create empathetic environments and valuable impact longevity.
To fully embrace empathy as an organisation is to create relevant and rigorous responses that go as far as to alter the infrastructure of its target goals. Optimising social impact comes down to optimising human experience.
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Healthtech Security
Article | November 29, 2023
COVID-19 has been a catalyst for change, with the diagnostics industry taking centre stage and rising to the challenge of a global pandemic. One of the silver linings of this mammoth task has been the unprecedented time and focus dedicated to finding new technologies and solutions within the sector.
The lessons learned from the pandemic now need to be taken forward to improve breast and cervical cancer detection, prevention and treatment across the UK over the coming years.
In the more immediate term, the diagnostics industry, alongside public health leaders, faces a daunting backlog as screening programmes for breast and cervical cancer were put on pause for months. These two life-saving tests have been some of the most overlooked during the pandemic and getting back on track with screening is critical as we start to turn the corner. We believe innovation in diagnostics, particularly artificial intelligence guided imaging, is a key tool to tackle delays in breast and cervical cancer diagnosis.
The scale of the backlog in missed appointments is vast. In the UK, an estimated 600,000 cervical screening appointments were missed in April and May 2020. And an estimated 986,000 women missed their mammograms, of which an estimated 10,700 could be living with undiagnosed breast cancer. It is clear that hundreds of thousands of women have been affected as COVID-19 resulted in the reprioritisation of healthcare systems and resource allocation.
Both cervical and breast cancer screening are well suited for digital technologies and the application of AI, given both require highly trained medical professionals to identify rare, subtle changes visually –a process that can be tedious, time-consuming and error prone. Artificial intelligence and computer vision are technologies which could help to significantly improve this.
What does AI mean in this context?
Before examining the three specific areas where digitisation and AI can help, it is important to define what we mean by AI. It is the application of AI to medical imaging to help accelerate detection and diagnosis. Digitisation is the vital first step in implementing an AI-driven solution – high quality images demand advanced cloud storage solutions and high resolution. The better the quality of the input, the more effectively trained an AI system will be.
The first area where AI-guided imaging can play a role is workflow prioritisation. AI, along with increased screening units and mammographers, has the potential to increase breast cancer screening capacity, by removing the need for review by two radiologists. When used as part of a screening programme, AI could effectively and efficiently highlight the areas that are of particular interest for the reader, in the case of breast screening, or cytotechnologist when considering cervical screening.
Based on a comparison with the average time taken to read a breast screening image, with AI 13% less time is needed to read mammogram images, improving the efficiency with which images are reviewed. This time saving could mean that radiologists could read more cases a day and potentially clear the backlog more quickly.
For digital cytology for cervical cancer screening, the system is able to evaluate tens of thousands of cells from a single patient in a matter of seconds and present the most relevant diagnostic material to a trained medical professional for the final diagnosis. The job of a cytotechnologist is to build a case based on the cells they see. Utilising these tools, we are finding that cytotechnologists and pathologists are significantly increasing their efficiency without sacrificing accuracy to help alleviate the backlog of cervical screening we are seeing in many countries.
Prioritising the most vulnerable patients
Another key opportunity is applying AI to risk stratification, as it could help to identify women who are particularly at risk and push them further up the queue for regular screening. Conversely, it would also allow the screening interval for those women at lower risk to be extended, creating a more efficient and targeted breast screening programme.
For example, women with dense breast tissue have a greater risk factor than having two immediate family members who have suffered from breast cancer. What’s more, dense breasts make it more difficult to identify cancerous cells in standard mammograms. This means that in some cases cancers will be missed, and in others, women will be unnecessarily recalled for further investigation.
A simple way to ensure that those most at risk of developing breast cancer are prioritised for screening and seen more regularly would be to analyse all women on the waiting list with AI-guided breast density software. This would allow clinicians to retrospectively identify those women most at risk and move them to the top of the waiting list for mammograms.
In the short term, to help tackle the screening backlog, prior mammograms of women on the waiting list could be analysed using the breast density software, so that women at highest risk could be seen first.
Finding new workforce models
Being able to pool resources will allow resource to be matched to demand beyond borders. Globally, more than half a million women are diagnosed with cervical cancer each year and the majority of these occur where there is a lack of guidance to conduct the screening programme. The digital transformation of cervical screening can connect populations that desperately need screening to resources where that expertise exists. For example, developing countries in Africa could collect samples from patients and image these locally, but rely on resources in the UK to support the interpretation of the images and diagnoses. Digital diagnostics brings the promise of a ‘taxi-hailing’ type model to cervical cancer screening – connecting groups with resources (drivers with cars) to those who are in need (passengers): this is an efficient way of connecting laboratory professionals to doctors and patients around the world.
It’s going to take many months to get cancer screening programmes up and running at normal levels again, with continued social distancing measures and additional infection control impacting turnaround times. But diagnostic innovation is on a trajectory that we cannot ignore. It will be key to getting cancer screening programmes get back on track. AI is a fundamental piece of the innovation puzzle and we are proud to be at the forefront of AI solutions for our customers and partners.
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Article | January 29, 2021
COVID-19 has sped up the adoption of healthcare technology solutions by healthcare providers. This has unexpectedly brought a peak in opportunity for health tech companies to achieve important business, demonstrating your innovations. However, it is very challenging and competitive as bigger health tech companies pivot and new health tech start-ups keep coming into the healthcare market. This also makes the healthcare technology market an increasingly competitive space.
Thus, all health tech companies need to depend more on effective health tech messaging for their business purpose and credibility. This will help them bring their targeted clients on board for the long-term.
Health tech Messaging Challenges Faced by Marketers
Nowadays, the process of marketing products online is a combat sport. With every passing year, it is becoming more challenging for health tech marketers to beat the algorithms, build the audience, and ultimately win the hearts of the customers through effective health tech messaging.
Digital health leaders are coming up with amazing technology innovations that can revolutionize the healthcare industry. Electronic medical records (EMR) software, medical billing software, medical practice management software, electronic claims software, medical database software, medical research software, medical diagnosis software, medical imaging software, telemedicine software, etc. are some of the examples of amazing technology innovations and latest healthcare technologies. But, things fall apart when it comes to marketing through effective health tech messaging. The following are some of the health tech messaging challenges faced by marketers.
• Communicating the purpose and value of your business and the products effectively to
clients
• Making the clients understand the credibility of the technology products and your business
• Product positioning
• Lack of clear healthcare marketing strategy
• Bad marketing advice
• Lack of effective and compelling marketing content
• Failing to understand the client/buyer persona
• Failing to understand the brand pillars,
• Ignorant of effective use of various messaging channels, and much more
Why Does Effective Health Tech Messaging Matter?
From the introduction part, you might have already understood the power of a good health tech messaging strategy. If you do not have a unified marketing strategy, you will end up merely alienating potential customers; they may end up in confusion about the purpose of your health tech brand. Moreover, without an effective health tech messaging strategy, you may become incoherent to your audience. But the real impact of a cohesive and good health tech messaging strategy will surely go beyond everything we have talked about already and empower your business in all aspects.
Different marketing materials, whether they are social media posts, emails, podcasts, videos, or something else, your health tech messaging strategy will guide you in determining what to focus on and what tone to be used. If you are planning a social media campaign or writing blogs and articles, you will know the attention-grabbing ways of speaking to your customers. This is possible only if you have a defined messaging strategy. Customer service teamwork also becomes more effective and easier, when you have a good health tech messaging strategy. Educating the customer is easier when you speak to them in a tone and language that you know they will understand. Doing it consistently makes you win the customer.
How Health Tech Messaging Can Work for Reaching Healthcare Decision Makers
It is not an easy task to engage healthcare decision-makers in hospitals, insurance providers, health systems, and private practices. These high-powered directors, managers, and executives are busier than ever. This makes the process of health tech marketing difficult. Apart from overwhelming job responsibilities, these healthcare professionals are also inundated with ads, emails, and phone calls. So rather than sending them messages randomly, it is important to help your prospects when they are free from their daily disruptions and have time.
Here, an effective health tech messaging strategy can help you reach out to decision makers easily. Health tech messaging strategy lays out various health tech marketing techniques, tricks, or tactics. These health tech messaging techniques or methodologies are helpful in the three stages of your health tech client journey: awareness, consideration, and decision making stages. Through all these stages of health tech massaging, you help or influence health tech decision makers to recognise they have a problem, consider a solution, and finally they take the decision to purchase your product.
4 Factors Influencing the Effectiveness of Health Tech Messaging
Performing your brand messaging haphazardly is not going to take you anywhere in reaching out to people, who need your products. Instead, you should slow down yourself a bit and build a compelling health tech messaging strategy. Test it, launch it, and learn from it.
If you are strategic, you are truly going to drive your mission despite the noise that is existing on the internet today. Here are four important factors that will help you make your health tech messaging strategy effective and compelling.
Understanding Your Targeted Audience
You have a better idea of who you are and what you offer. Now you need to know who your audience is, which is equally important in building health tech messaging strategy. Throughout the process of messaging, it is vital to keep your ideal buyer in mind. So, you will only create messages that will resonate with the needs, interests, motivations, and pain points of your potential clients. The things you want to know about your targeted clients are called buyer/client persona.
Buyer Persona
It is better to create a buyer persona that tells who your customer and what their goals are. Buyer persona also will help you align your brand with your customers. According to HubSpot, a buyer persona can be a semi-fictional representation of your potential customers based on real data and market research and about your current customers.
Knowing who your messages are aimed at is important in developing a successful health tech brand messaging strategy. Before you go any further, buyer persona makes you know:
• Who you are marketing to
• What they care about and value
• The sort of language they use and will respond to
• Geographical location
• Educational and income levels
• Psychographics and behavioral patterns, etc.
Focusing on Your Differentiating Factors from Competitors
To figure out your differentiating factors from the competitors is as important as you understand your place in the market. You will have to assess the differences and similarities between the products and services you offer and your competitors’ offerings. Also, compare the targeted audience of you and your competitors.
Understanding your competition, you face from the market, will get you a clear image of your brand and what health tech message you may have to send out to your targeted audience. Just remember that each of the health tech brands can have only one message; it needs to be unique. Due to the competition, messages can be too similar, but it should not make your customers get confused about your business.
Thus, communicating your uniqueness to your audience is a very important factor. In this regard, conducting some competitor analysis may help you a lot.
Making your Value Propositions Obvious
You can influence how people perceive your brand if you could successfully communicate the values of your business. Values are principles or mission that guide all actions of brands. Storytelling can be effectively used to illustrate the values of your brand. Success stories from Salesforce and Microsoft’s Story Labs are examples. These stories can be on things such as empowering small businesses or improving the world through technology. It creates loyalty when you make your clients feel they are part of something that is going to change the world for the better.
It is very helpful to start your health tech messaging process with your value prop because it is the core of what you do and who you are. Your value prop explains both the emotional and functional benefits your service or products provides. This means the value people get out of your products. Communicating the values of your company is considered strong health tech messaging only when it specifies how your brand is going to solve a problem and why should people choose your product.
Using Multiple Technology Channels for Brand Messaging
In general, digital health tech messaging has to be pinpointed. The spray and pray method will not work to bring in inbound leads. However, if you want to reach out to health tech audience with your health tech messaging, you should be there on all the channels they are on. Here are a few examples of channels, which can be used to reach out to people effectively with your health tech messaging process.
Digital Ads
If digital ads are used effectively for health tech messaging, you can reach out to your target audience easily. When digital ads are used correctly, you can pinpoint the audience through audience targeting and keywords. Moreover, through ad channels, you can reach out to people who otherwise would not have ever known about your products. However, if you are not using digital ads effectively, you will lose money without any results.
Social Media
Most people are active on some sort of social media channels. Many of these people use these channels either for networking or educating themselves in their field.
This is the reason why you should concentrate on social media platforms for effective health tech messaging in a way that encourages interaction and feedback. Along with establishing a strong relationship with your prospects, you can also use social media platforms to build brand awareness through health tech messaging process.
Emails
Emails are the fruitful medium for effective health tech messaging. You can build brand awareness through seeding emails regularly. It will work as a bookmark than a selling point. Potential clients will remember the good interaction you had with them through emails when they have a problem in the future.
Along with these channels, other channels such as videos, websites, blogs, articles, podcasts, etc. also can be used for effective health tech messaging. These multiple channels, where most of your potential clients are present, are selling points for your health tech products or helps in lead generation for healthcare technology products.
To sum up, what matters more in health tech messaging and marketing is projecting your values, differentiating factors, knowing A to Z about your targeted audience, and meeting them on the channel, where they are present. Your health tech brand message is something that makes you dwell in the minds of people. Thus, how you are perceived matters a lot. Start building your brand today by sending out effective health tech messages to your potential clients.
Frequently Asked Questions
How does health tech messaging help?
Heathtech messaging helps you to improve your business by making your potential clients understand what you are and what you do. Brand awareness of your products is done through effective health tech messaging.
What is the best health tech messaging method?
The best health tech messaging method is to project your business values in all the marketing campaigns you do. It should specify what your customers can expect from your products and services and what changes it will make in society.
How does technology help in healthcare?
Technology helps healthcare to avail all patients the best treatment available and make them satisfied and engaged. Also, technology helps healthcare industry to innovate treatments and revolutionize the entire practice in the healthcare sector.
Why is technology important in healthcare?
For achieving optimum patient satisfaction and engagement, technology is important in healthcare. Also, technology plays a role in improving the healthcare system and saving the lives of people.
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