Health Technology, Digital Healthcare
Article | July 14, 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.
Read More
Healthtech Security
Article | November 29, 2023
As medical science has improved rapidly, life expectancy around the world also has risen. Still, as longevity increases, healthcare systems are facing a growing demand for advanced services, increased costs, and a struggling workforce to meet various requirements of patients. Demand is driven by many unstoppable forces: a shift in lifestyle choices, shifting patient expectations, population aging, and the never-ending cycle of innovation are a few among others.
Challenges Faced by the Healthcare Industry
According to Mckinsey, one in four people in North America and Europe will be over the age of 65 by 2050. This shows that, soon, the healthcare industry will have to deal with a larger number of patients with more complex requirements. Catering to these patients is expensive and requires health systems for providing long-term focused and proactive care. To remain sustainable, healthcare systems need major transformational and structural changes.
The industry also needs a larger workforce because according to the World Health Organization (WHO), globally there is a shortfall of approximately 9.9 million nurses, physicians, and midwives. Apart from attracting, training, and retaining these healthcare professionals, you also have to ensure that their time and effort add value to patient care. Utilizing the solutions powered by modern technologies, such as Artificial Intelligence (AI) in the healthcare industry, will add perfection and more value to human efforts.
AI in the healthcare industry has the potential required to transform and revolutionize healthcare by addressing the challenges in the industry mentioned earlier. AI can better the outcomes, improve efficiency, and augment productivity in healthcare delivery. This article takes an in-depth look at the impact of AI in healthcare.
Impact of AI in the Healthcare Industry
In the coming years, AI in the healthcare industry will improve the day-to-day life of healthcare practitioners, augment the patient experience, improve care delivery, and can even facilitate life-saving treatments and revolutionize the industry. Additionally, AI will improve population-health management, operations, and strengthen innovations.
According to Statista, the global AI healthcare market will increase to more than US$28 billion by 2025. Here is a detailed look into the areas where and how AI in the healthcare industry will be impactful.
Chronic Care Management
Chronic diseases, such as cancer, diabetes, kidney diseases, are the leading cause of disability and death in the US and the main drivers of the country’s annual health cost. Effectively managing various chronic diseases is an overarching and long-term process. But with the help of the right tool, healthcare providers can meet the needs of these patients without delay.
Artificial intelligence tools in the healthcare industry can help healthcare providers overcome the complexities of chronic disease management and make it more effective and provide quality treatment. AI in the healthcare industry is increasingly being leveraged by organizations to improve chronic disease management, enhance patient health, and drive down costs, which will also eventually result in data-driven and personalized care. AI in the healthcare industry is expected to move the industry toward proactive care delivery from a reactive one and lead the industry to provide more individualized treatments. This is just one of the ways AI in the medical industry is going to revolutionize chronic care management in hospitals.
Care Delivery
Artificial intelligence in the healthcare industry is changing the way care is delivered; it is expected to make healthcare more efficient, accurate, and accessible. Reducing costs and improving health outcomes are the values health systems and hospitals are trying to deliver to patients every day. Hospitals are increasingly incorporating technologies, which are powered by the use of AI in healthcare to meet the challenge.
According to the American Hospital Association (AHA), AI in the healthcare industry has unlimited potential to solve most of the vexing challenges in the industry. They identify AI use cases in the healthcare industry in four broad areas, which are administrative, operational, financial, and clinical areas.
Administrative Use Cases for AI in the Healthcare Industry
• Admission procedures
• Appointment scheduling
• Customer service responses
• Discharge instructions
• Hiring and orientation protocols
• Licensure verification
• Patient check-in procedure
• Prior authorizations
• Quality measure reporting
Operational Use Cases of AI in the Healthcare Industry
• Inventory management
• Materials management
• Supply chain management
• Facilities management
Financial Use Cases for AI in the Healthcare Industry
• Billing and collections
• Claims management
• Insurance eligibility verification
• Revenue cycle management
Clinical Use Cases of AI in the Healthcare Industry
• Predictive technologies
• Interventional technologies
By incorporating and utilizing these scopes with AI in the healthcare industry, the industry can be transformed into a next-gen level in no time. It also allows healthcare practitioners to focus more on patients, which would eventually help in raising staff morale and improving retention.
Clinical Decision Support
Recent advancements in AI in the health industry are capable of enhancing the currently used clinical decision support (CDS) tools to have value-based imaging and to improve patient safety. According to the National Institute of Health (NIH), the synergy between CDS systems and AI in the healthcare industry will be able to:
• Reduce friction in radiology workflows
• Identify relevant imaging features easily
• Generate structured data to develop machine learning algorithms
• Enable an evolution toward decision support for a holistic patient perspective
• Suggest imaging examinations in complex clinical scenarios
• Assist in identifying appropriate imaging opportunities
• Suggest appropriate individualized screening
• Aid health practitioners to ensure continuity of care
AI in the healthcare industry is competent in making CDS a next-gen one, enhancing the experiences of radiologists and providers, and improving patient care.
Diagnostics
Slowly but surely, AI is improving almost every aspect of human life with innovations and advancements. The latest is that AI in the healthcare industry is impending a revolution in medical diagnostics by providing accurate risk assessments, accelerating disease detection, and boosting hospital productivity. By automatically prioritizing urgent cases and accelerating reading time, image recognition AI enhances the workflow of radiologists. It even helps in the prevention of diseases by the early detection of diseases.
In medical images such as x-rays, MRIs, and CT scans, AI-driven software can efficiently be used to accurately spot signs of many diseases, especially in detecting many chronic diseases such as cancer. According to the NIH, AI will be widely applied in the healthcare industry especially for various tasks such as patient engagement and adherence, diagnosis, and treatment recommendations. So, there is no doubt that AI in healthcare will revolutionize the diagnostic process in the approaching years by detecting diseases, classifying diseases, and improving the decision-making process. The application of AI in the healthcare industry will make people live longer.
Triage and Diagnosis
AI can be effectively used to automatically triage cases. AI algorithms will analyze the cases and forward cases to pathologists after determining the priority based on the probability of cases according to the criteria set by labs. This makes the workflow of pathologists easier and efficient. Through the process the algorithm will be able to:
• Verify the digital images attached to the case belong to that case
• Validate the tests ordered and match the specimen type
• Identify cases marked as stat
• Determine the cases, which can be positive or are most likely to be negative
Moreover, AI technologies in the healthcare industry also can be effectively used to provide more accurate and faster diagnoses. This speeds up the entire process of triage and diagnosis and is expected to revolutionize the healthcare industry soon.
The Future Outlook for AI in the Healthcare Industry
Over the next few years, AI in the healthcare industry has the best opportunities in hybrid models to support clinicians in diagnosis, identifying risk factors, and in treatment planning. This scope will result in faster adoption of AI technology in healthcare, which will show measurable improvements in operational efficiency and patient outcomes.
With a plethora of issues to overcome, which are driven by documented factors such as growing rates of chronic diseases and the aging population, it is obvious that the healthcare industry needs new innovative solutions. AI-powered solutions in the healthcare industry will achieve a clear impact on the global healthcare industry in a short time.
Frequently Asked Questions
Which is the best application of AI in the healthcare sector?
Cognitive surgical robotics is the best application of AI in the healthcare sector as it helps practitioners collect data from real surgical processes, which would help in improving existing surgical approaches.
Why is artificial intelligence important in healthcare?
Artificial intelligence in healthcare is vital as it can help make decisions, analyze and manage data, and have conversations. So, AI will drastically change the everyday practices and roles of clinicians.
When was AI-first used in healthcare?
The term, Artificial intelligence (AI) was first described in 1950, but the limitations of the term prevented its acceptance. In the 2000s, these limitations were overcome and people started to accept the term.
Read More
Health Technology, Digital Healthcare
Article | September 8, 2023
Affordable healthcare is the need of the hour and interoperability is the means to that end. The healthcare ecosystem is looking into ways they can enable this affordability as soon as possible, and that is where FHIR comes in. FHR promises an on-demand exchange of secure healthcare information. It has become an increasingly popular protocol, thanks to its commitment to ensuring interoperability in the app economy, via apps.
The privilege enjoyed by consumers and participants in most industries is the ease of accessibility of information. With most of it being on the cloud, a URL ensures access to the same information regardless of where it is being accessed from or which internet enable device. This is the privilege FHIR aims to introduce in healthcare, over the current document-based approach where forms are either faxed, emailed, or electronically exchanged.
FHIR is for
Building new healthcare apps
Develop cloud-based health apps that integrate with social networks
Providing a simple to use standards-based API for cloud-based health integration services
The government looking to implement a national EHR
FHIR Aims to Reduce Cost
The medical expenses of an average American in a year are north of $12k and rising. The reasons are the unnecessary complications in the healthcare IT infrastructure. With FHIR, HL7 aims to reduce the burden on providers in sharing and accessing healthcare data at the point of care, thereby reducing the administrative expenses spent on moving data back and forth. It also promises to grant on-demand access to patients – enabling them to make better-informed healthcare decisions.
What is part of FHIR?
Pre-defined Resources and API
A common way to represent data as building blocks and rules for connecting them
Target support for common scenarios
Implementer Friendly
Familiar tooling and technologies using web standards
Multiple Libraries available for faster implementations
Mobile Friendly
Concise and easily understood specifications, RESTful API and JSON
Leverages cross-industry web technologies
Multi-paradigm
Thick client, browser, or mobile devices
Supports human readability as the base level of interoperability
Large Community for Support
Heaps of open-source software and training events, webinars, and connectathons
Specification feedback welcomed, including update requests-tracker
Out-of-the-box Interoperability
Base resources can be used as it is, can also be adapted for local requirements
Seamless exchange of information using messages or document
Start The FHIR
Health plans are jumping on the FHIR bandwagon faster than ever thanks to the Interoperability and Patient Access rule as well as the latest proposals. Do not get left behind or sustain the ramifications of non-compliance with CMS regulations.
Read More
Article | April 17, 2021
The healthcare industry is witnessing an unparalleled phase of expansion and vitality. It is a phase of radical revolution due to the wake of digital transformation. Digital transformation has opened up enormous unique opportunities that were unimaginable until a few years back.
These digital trends are bringing companies and individuals together. Data is the starting point of the digital revolution. These data are then transformed into relationships. Today, including healthcare companies, the success of every company is at stake. In other words, it is how you communicate with customers that matters.
This blog is all about healthcare digital communication, especially healthcare video marketing.
We’ll start by looking at data that demonstrates the power and effectiveness of the video marketing medium. There is nothing equal to the power and efficacy of video marketing in our world today. Then, we’ll look at the video marketing best strategies, healthcare video marketing best practices, and successful examples for healthcare video marketing.
There’s Nothing More Effective than Video Marketing
Here are some numbers that alone demonstrate why video is the most effective marketing medium in the digital age:
More than 5 billion videos are viewed on Youtube every day;
78% of online users watch at least one video every week. And 55% watch one every day;
According to estimates by Cisco, by 2022, 82% of all internet traffic will be generated by video. This percentage was already 72.3% in 2017;
When it comes to video, 55% of people pay more attention than any other type of content;
when viewing a video, the average user retains 95% of the message it contains; this percentage goes down to 10% when we talk about the text;
about 100 million hours of video watched every day on Facebook;
82% of registered Twitter users consume video content constantly;
on Instagram, posts containing video record 38% higher engagement on average than posts containing images;
54% of consumers say they want to see more videos from the brands they follow and support.
Such statistics are compelling for brands, and brands are taking notice. As a result, brands are moving to implement videos as much as possible in their marketing strategies, with excellent results. Two statistics below offer additional proof:
87% of marketing professionals use video in their strategy.
88% of marketers are satisfied with the ROI generated by video marketing campaigns.
This collection of data proves one thing: video is the most effective tool for healthcare digital marketing. And this also applies to the Healthcare sector. It’s even more accurate for this sector, which is intimately involved with consumers as part of their daily lives. Thus, healthcare video marketing is much effective and should be included in your healthcare marketing plan.
Strategies and Best Practices of Healthcare Video Marketing
So, let’s take a closer look at how we can build a video marketing strategy in the Healthcare sector, the fundamental points that must be included, the best practices, and some examples of success.
Start from education
It is often said that we live in the information age. Today, as never before, we have access to all the information we could need in just a few seconds, maybe with just a few taps on our smartphone during a coffee break. Health information is undoubtedly among the most sought-after online. In Italy alone, web searches made on this topic are 4 billion per year, a constantly growing trend.
The downside of all of this is the difficulty of finding your way around this mass of information, which is sometimes complex, misleading, or even untrue. That is why the first task of a company in the Healthcare sector is education. Education is not just a responsibility; and it’s also an opportunity.
In this sense, healthcare videos marketing prove to be the best ally. Healthcare video marketing is a way to provide the consumer with an effortless way to have access to transparent, precise, and authoritative information from your brand. That can be the first step toward establishing a relationship of trust with your brand.
Be clear, but also calm
In this case, let’s start immediately with an exciting and practical example. Targeted toward their younger patients, Miami Children’s Hospital created a healthcare video marketing campaign that explains what happens before, during, and after heart surgery. Understandably, this is a sensitive topic. With this effort of healthcare video marketing, the Miami Children’s Hospital manages to achieve the complex objective of providing clear and authoritative information while at the same time reassuring the viewer.
How?
They make the healthcare video marketing campaign compelling, authoritative, and reassuring by showing the faces of its staff members, demonstrating their professionalism, the environment, the healthcare technologies used, and everything related to the surgery. In this way, the high level of preparation and humanity of the people involved stand out to the viewer.
Learn to be engaging
As we saw above, you have to know how to correctly inform and educate your audience using influential healthcare video marketing trends, all with a calm demeanor. However, it’s also true that success also depends on your ability to excite and involve the viewer for healthcare video marketing in the sector. In short, the keyword is ‘storytelling.
An excellent example is the healthcare video marketing campaign carried out by the dental health department of Bupa UK and addressed to children (but applicable and reachable to adults as well). Through a great use of animations and storytelling, the brand uses the well-known story of the tooth fairy and associates it with childhood memories. This healthcare video marketing campaign has proven to be an excellent vehicle for establishing a truly intimate relationship with the viewer (and, not surprisingly, the video has exceeded 1.3 million views on YouTube).
Another effective way to be direct and engaging is to use influencers in your healthcare video marketing campaigns. An exciting example is the Australian pole vaulter, Amanda Bisk, diagnosed with chronic fatigue syndrome. On her Instagram channel, Bisk talks about her path to fight the disease through fitness, and she has quickly become one of the most famous figures in Healthcare on the platform.
It’s important to note that today, more and more brands target top influencers and micro-influencers. Micro-influencers have a much smaller yet targeted and loyal following of fans. Therefore, their healthcare video marketing messages are perceived by the public as more authentic and personal.
Personalization
94% of marketers believe that personalization is crucial for the future of the business in which it moves. But what do we mean when we talk about personalization?
First of all, it’s not something new: knowing your audience has always been the best way to make a profit, calibrate your communication and your “tone of voice,” and increase engagement and loyalty. But what is the turning point of personalization today?
It is a digital turning point. Today, we all leave traces online at every moment: geolocation, Google searches, preferences on social networks, apps (which in Healthcare are increasingly widespread), and so on. We are talking about a vast amount of data that benefits both companies and consumers from a win-win perspective.
Therefore, it’s a matter of utilizing efficient systems to collect this data, dynamic systems designed with an omnichannel approach in mind. From the collection, the next step is to analyze and interpret this information. Then, you will want to divide your audience into many micro-targets with homogeneous and consistent characteristics to target with tailored communications and offers.
In conclusion, these facts are all the more true in a sector like healthcare that impacts people’s daily lives. The best healthcare video marketing strategy for brands can only be to get closer and closer to customers. That is precisely where specialized companies like us, Media7, come into play. Through compelling B2B healthcare video marketing efforts, we create opportunities for interaction and the possibility to insert custom calls to action.
FREQUENTLY ASKED QUESTIONS
What is a video marketing strategy?
Video marketing strategy is creating, curating, and utilizing videos for marketing products and services of companies to the targeted audience. Marketing teams design the strategy. The idea behind the strategy is to keep the audience engaged with the brand.
Are videos effective for health tech marketing?
Videos are much effective for health tech marketing as people prefer to watch things than reading. Also, people are likely to trust what they see than reading. Videos are the highly impactful medium of marketing for any domain of business, including healthcare.
How to start with healthcare video marketing?
The first step to healthcare video marketing is to define your video marketing strategy. Fix and analyze the target audience to understand the online behavior trends to get an idea about their video engagements and clicks on various social media channels.
Read More