Article | February 14, 2021
Tempted to throw in the towel on your New Year’s resolutions? It’s a natural reaction during this unprecedented year. I’m here to tell you it’s okay—and you probably don’t need them anyway.
You’re in good company if you’ve given up on the big shifts. According to widely-cited research study, only 19% of people keep their New Year’s resolutions. In addition, this may not have been the best time to make changes, given all that’s going on with the pandemic.
Also, worthwhile to consider the following insights on the unease with making big changes these days. According to research published in Molecular Psychiatry, when you go through prolonged challenging times (and the pandemic certainly qualifies), chronic stress can change the architecture of your brain and make you feel worn out, anxious, fearful, or depressed. These aren’t the best conditions for making major changes.
You may also face “change saturation,” or in other words, you’ve had to make so many transitions, you just can’t make any more. To prevent yourself from becoming overwhelmed, focus on attainable aspirations. Here are a few recommendations.
DREAM ON A SMALLER SCALE
Success for the next 12 months may be closely tied to a less-is-more approach. Instead of seeking a whole new career, maybe you can set your sights on getting assigned to a new project at your current company. In other words, consider how you can tweak your behaviors rather than overhauling them.
Cultivate gratitude. Appreciate the little things. When you’re more tuned into what you have, you’re less focused on what you still want. This “enough mentality” can be helpful to your mental health. You don’t have to make big changes to achieve satisfaction or happiness. Contentment starts with gratitude.
Avoid perfectionism. Often, the fuel for big changes is a feeling you or your situation are not perfect. Remind yourself that perfection is a myth and focus on what’s working. This will help you find fulfillment with your present reality (even if it’s not all you aspire to).
Make a list, then edit down. Another great way to keep your ambitions reasonable is to make a list of all you want to accomplish and then eliminate everything but the top three items. A surefire route to frustration is to expect too much and put unrealistic pressures on yourself. Instead, focus on just a few vital things you want to accomplish, rather than a long list that does not empower you. After you’ve accomplished the first three goals on your list, you can always come back to the others, but give yourself a fighting chance to achieve the most integral top three, first.
Keep yourself accountable through specific techniques—and pay attention to events that may cause you to slide backwards. Research in the Personality and Social Psychology Bulletin explains that 40% of your behaviors occur in similar situations, which is to say familiar circumstances encourage the repetition of choices. Therefore, if you’re able to adjust one potentially repeated behavior, it can make a difference.
Create routines and conveniences. When you want to nurture a behavior, make it a default so you’re not thinking consciously about it. Research published in the European Journal of Social Psychology found when you repeat behaviors in a consistent context, it helps with habit formation and these take hold much more effectively. You can use this to your advantage. Instead of making a conscious choice each morning whether you want the donut or the smoothie, have the sliced fruit ready to go and the blender on the counter so when you arrive bleary-eyed to the kitchen in the morning, you’re just doing what’s already laid out. Start each day with the routine of responding to quick-hit emails. Rather than deciding what to work on first, just create a routine where you’re repeating behavior that works without as much conscious thought.
Plan ahead. When you can plan for things, you can usually control them more effectively. If you’re going to be in a situation that might create challenges for your new behaviors, make a plan. Perhaps you’re going to the grocery store and you can make a plan to avoid the cookie aisle. Or if you’re back in the office, avoid the calorie-tempting socially distanced happy hour with colleagues by leaving right on time and get a head start on the big project you’re working on. Anticipating what might present challenges will help you overcome them.
Support can be the difference between making small changes and not succeeding at all. Find a source that works for you.
Find friends. Create a virtual group of people also trying to make changes. Perhaps there’s an online group where you can exchange healthy recipes or provide mutual encouragement for regular trips to the gym. Also tap into your existing network and ask your friend to check in with you to see if you’ve had your workout for the day. Seek out colleagues who can nurture the writing skills you want to develop. Find people who encourage you, provide feedback, and remind you about your ability to succeed.
Use technology thoughtfully. There are a wide variety of virtual solutions to help you shift your behavior. Download the app that allows you to track your water intake or the app that will send you notifications if you haven’t moved enough in the last hour. Look for apps that can help you learn the new language you’ve been wanting to add to your skill set or that can connect you with colleagues who have like-minded ambitions. Behavior shifts are most likely to occur with planning, reminders, and feedback. So, find apps that provide these three kinds of support.
Give yourself permission to do less for now and know you can always do more later. In the meantime, stay strong and be satisfied with a little progress for now.
Article | February 14, 2021
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.
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.
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.
Article | February 14, 2021
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.
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.
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Article | February 14, 2021
Artificial intelligence (AI) introduces some important concerns around data ownership, safety and security, and with so much at stake, meaningful regulation should be expected. The pharmaceutical, clinical treatment and medical device industries provide a precedent for how to protect data rights, privacy and security and drive innovation in an AI-empowered health care system. We should expect the continued growth of AI applications for health care as more uses and benefits of the technology surface. I’ve given more than 100 presentations on artificial intelligence (AI) and machine learning (ML) this past year. There’s no doubt these technologies are hot topics in health care that usher in great hope for the advancement of our industry. While they have the potential to transform patient care, quality and outcomes, there are also concerns about the negative impact this technology could have on human interaction, as well as the burden they could place on clinicians and health systems.