Category Archives: Digital Transformation

5 Strategies to Avoid Common Pitfalls of Digital Transformation

5 Strategies to Avoid Common Pitfalls of Digital Transformation

GUEST POST from Art Inteligencia

Digital transformation is an essential business strategy for businesses that want to stay competitive in today’s increasingly digital world. However, the process can be complex and intimidating, and it can be easy to fall into common pitfalls that can derail your progress or even lead to failure. Here are five strategies to help you avoid those pitfalls and ensure your digital transformation is successful.

1. Have clear objectives

Before beginning your digital transformation, you need to define your objectives. What do you hope to achieve? Are you trying to increase efficiency, reduce costs, or improve customer experience? Having a clear vision of what you want to accomplish will help guide your decisions and ensure you stay on track.

2. Invest in the right technologies

You need to make sure you are investing in the right technologies for your digital transformation. Doing a thorough assessment of your current systems and processes will help you identify what needs to be replaced or upgraded. Investing in the wrong technology can be a big waste of money and resources, so make sure to do your research.

3. Develop an implementation plan

Once you have chosen the technologies you need, you need to develop an implementation plan. This will help you stay organized and ensure that each step is completed in the right order. It should include timelines, budget, resources, and any other necessary details.

4. Get everyone on board

Digital transformation can only be successful if everyone in your organization is on board. Make sure to involve all key stakeholders in the process, from the top down. This will help ensure buy-in and support for the project, which is essential for its success.

5. Monitor and measure progress

Finally, you need to be sure to monitor and measure progress throughout the digital transformation process. This will help you identify obstacles and course correct if needed. You should also use metrics to measure success and make sure you are meeting your objectives.

By following these strategies, you can ensure your digital transformation is successful and avoid common pitfalls. With the right plan and commitment, you can reap the benefits of a digital transformation and stay competitive in today’s digital world.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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Five Steps to Digital Transformation Success

Five Steps to Digital Transformation Success

GUEST POST from Art Inteligencia

Digital transformation is increasingly becoming an integral part of businesses in the modern age, as companies seek to leverage technology to gain a competitive edge. But, while the potential benefits of digital transformation are tantalizing, it’s not always easy to make the transition. To ensure a successful digital transformation, here are five key steps you should consider.

1. Understand Your Goals

Before you begin your digital transformation, it’s important to understand your goals. What do you want to achieve with your digital transformation? Do you want to improve customer service, create a more efficient process for managing data, or something else entirely? Being clear on your goals will help you to focus your efforts and ensure you’re making the most of your digital transformation.

2. Develop a Strategy

Once you’ve established your goals, you’ll need to develop a strategy for achieving them. What technologies and processes will you need to implement? What resources and personnel will you need to make it happen? Having a clear strategy will help to ensure success, as you’ll have a roadmap for getting from A to B.

3. Focus on the Customer Experience

Digital transformation should always be focused on the customer experience. How will the changes you’re making improve the customer experience? Will they make it easier to purchase products or services? Will they make it faster to access customer service? By focusing on the customer experience, you can ensure your digital transformation is successful.

4. Invest in Technology and Resources

Digital transformation is an investment, and you’ll need to invest in the right technologies and resources to make it successful. This could include investing in new software, hardware, personnel, and training. While these investments may be costly, they’re necessary in order to ensure the success of your digital transformation.

5. Plan for Change

Finally, it’s important to plan for change. Digital transformation can be disruptive to your business, so it’s important to plan for the changes and prepare your team for the transition. This could involve training staff on new technologies, creating a communication plan to keep everyone in the loop, and establishing processes for dealing with any issues that may arise.

Digital transformation can be a daunting process, but it can also be incredibly rewarding. By following these five key steps, you can ensure your digital transformation is successful and that your business can reap the rewards.

Image credit: Pixabay

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Top 10 Human-Centered Change & Innovation Articles of November 2022

Top 10 Human-Centered Change & Innovation Articles of November 2022Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are November’s ten most popular innovation posts:

  1. Human-Centered Design and Innovation — by Braden Kelley
  2. Four Ways to Overcome Resistance to Change — by Greg Satell
  3. What to Do When You Don’t Know What to Do — by Mike Shipulski
  4. 5 Simple Steps for Launching Game-Changing New Products — by Teresa Spangler
  5. Why Small Teams Kick Ass — by Mike Shipulski
  6. Crabby Innovation Opportunity — by Braden Kelley
  7. Music Can Make You a More Effective Leader — by Shep Hyken
  8. Lobsters and the Wisdom of Ignoring Your Customers — by Robyn Bolton
  9. Asking the Wrong Questions Gets You the Wrong Answers — by Greg Satell
  10. Brewing a Better Customer Experience — by Braden Kelley

BONUS – Here are five more strong articles published in October that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last two years:

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What Artificial Intelligence Predicts for 2023

What Artificial Intelligence Predicts for 2023

GUEST POST from Art Inteligencia

As we move into 2023 and beyond, the technology industry is making predictions about what the future of innovation holds for us. With the global pandemic accelerating the rate of digital transformation, it’s safe to say that the next few years will bring some major changes to the way we work and live. Here are some of the top innovation predictions generated by artificial intelligence for 2023:

1. Autonomous Delivery: Autonomous delivery systems are becoming more commonplace, and by 2023, we expect to see them become even more advanced. Autonomous delivery systems use advanced robotics and artificial intelligence to deliver packages to customers without the need for human involvement. This could significantly reduce costs and create greater efficiency in delivery services.

2. Augmented Reality: Augmented reality (AR) is rapidly growing in popularity and it’s expected to become even more pervasive by 2023. AR will be used in many industries, including education, healthcare and retail, to create interactive experiences. For example, in healthcare, AR can be used to provide surgeons with enhanced visuals during operations. In retail, AR can be used to give customers a more immersive shopping experience.

3. Quantum Computing: Quantum computing is a form of computing that uses quantum-mechanical phenomena, such as superposition and entanglement, to perform calculations. This form of computing has the potential to revolutionize the way we process and store data, and it’s expected to become more mainstream by 2023.

4. 5G Networks: The fifth generation of cellular networks, also known as 5G, is expected to become even more widespread by 2023. 5G networks have faster connection speeds, lower latency and greater reliability than their predecessors, which makes them ideal for a variety of applications, including autonomous vehicles, virtual reality and the Internet of Things.

5. Artificial Intelligence: Artificial intelligence (AI) is becoming increasingly prevalent in our lives. By 2023, we expect to see AI being used in a variety of applications, including automated customer service, natural language processing and personal assistants. AI has the potential to revolutionize the way we interact with technology and the world around us.

These are just a few of the many predictions for 2023 and beyond. As digital transformation continues to accelerate, we can expect to see even more innovation over the next few years. It’s an exciting time to be in the technology industry and we can’t wait to see what the future holds.

Image credit: Pixabay

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Innovation and Transformation Advisory and Connection Opportunity

Innovation and Transformation Advisory and Connection Opportunity

Braden Kelley has been focusing on human-centered change and innovation for more than twenty years, bringing in elements of design thinking, customer experience, employee experience and digital transformation as needed.

On November 18, 2022 our founder will be in New York City (Midtown Manhattan) and available to connect for any of the following purposes:

  • Private keynote or workshop for your organization
  • Certification session on the Change Planning Toolkit™ and/or FutureHacking™ sets of tools for your team
  • Featured keynote speaker or workshop for a sales event or conference
  • Advisory session to provide input on a specific innovation project or your overall innovation or transformation program
  • Audio or video podcast appearance
  • Grab a coffee or a meal — to connect or reconnect
  • Or, if you think Braden should interview you on camera to join the video interviews he’s done with luminaries like Dean Kamen, Seth Godin, Dan Pink, Roger Martin, Kevin Roberts, and most recently – PepsiCo’s Chief Design Officer Mauro Porcini – Braden will bring his video camera!

If you work in Manhattan or are willing to travel in from elsewhere in the greater New York City metropolitan area (or the world) and are looking to increase the innovation or transformation capabilities of your organization or to de-risk an innovation project by getting an outside perspective, or just to connect, contact Braden to book time on November 18, 2022.

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How Stories Drive Transformational Change

Leading with Narrative

How Stories Drive Transformational Change

GUEST POST from Chateau G Pato

When faced with the need for transformational change, leaders often turn to the tools they know best: data, strategy, and process. We craft meticulous spreadsheets, present compelling graphs, and outline new organizational structures. We believe that if we can just provide enough logical evidence, people will get on board. But as a human-centered change and innovation thought leader, I have seen time and again that this approach is fundamentally incomplete. Data informs, but it is **narrative that inspires**. We are not logical machines; we are storytelling beings. The most successful leaders don’t just manage change; they craft and champion a compelling story that connects with the hearts and minds of their people.

Our brains are wired for stories. When we hear a narrative, our brains light up. We release oxytocin, the “trust hormone,” and we enter a state of engagement and empathy. A well-told story is more memorable, more persuasive, and more emotionally resonant than any data point. It takes a complex, abstract idea—like a new corporate strategy—and makes it personal, tangible, and relatable. A story creates a shared reality and a sense of collective purpose. It turns a group of individuals into a tribe, united by a common journey. Therefore, if you are not leading with a powerful narrative, you are leaving your most potent tool for change on the table.

Crafting a Narrative for Change: The Human-Centered Blueprint

A powerful change narrative isn’t a simple announcement; it’s a carefully constructed journey that positions your team as the heroes. Here’s a blueprint for crafting a story that drives transformation:

  • The “Why” Story (The Call to Adventure): Begin by telling the story of why change is necessary. What is the fundamental problem you are solving? Don’t just show market share declines; tell a story about a frustrated customer whose needs aren’t being met. This emotional “why” is the foundation of your narrative.
  • The “What If” Story (The Vision of a New World): Paint a vivid, aspirational picture of the future. What will life be like for employees, customers, and the world after the change? Use rich details and sensory language. What will your company feel like? What will a customer’s day be like with your new product? Make the future feel tangible and desirable.
  • The “Hero’s Journey” (The Role of Your People): Position your employees as the heroes of the narrative. They are not passive recipients of change; they are the ones who will overcome the obstacles and bring the new world to life. This narrative arc gives them purpose and a sense of ownership, transforming them from resistors into champions.
  • The Power of Anecdotes (Sustaining the Story): A single, powerful story can be more effective than a hundred data points. As the change unfolds, leaders must continuously collect and share stories of small wins, customer triumphs, and individual acts of bravery. These anecdotes keep the narrative alive and provide concrete evidence that the journey is progressing.

“Facts tell, but stories sell. In the business of change, you are not selling a strategy; you are selling a story about a better future.”


Case Study 1: Satya Nadella and the Transformation of Microsoft

The Challenge:

In the early 2010s, Microsoft was a technology giant struggling with a stagnant culture. It was known as an internal “know-it-all” organization, marked by intense competition, siloed business units, and a lack of agility. The company was losing relevance in a world dominated by mobile and cloud computing. The challenge for new CEO Satya Nadella was not just to change the strategy, but to change the very soul of the company.

The Narrative-Driven Solution:

Nadella’s approach was a masterclass in leading with narrative. He didn’t just present a “cloud-first, mobile-first” strategy; he crafted a new story for Microsoft. He shifted the focus from competing with others to **empowering every person and every organization on the planet to achieve more**. This was a profound, human-centered “why” that resonated deeply. He replaced the “know-it-all” culture with a **”learn-it-all”** growth mindset. This narrative repositioned employees from being defenders of a legacy to being explorers of a new future. He used his personal story, his love of poetry, and his focus on empathy to make the narrative feel authentic and deeply human. He constantly reinforced the story with anecdotes of customer successes and internal collaboration.

The Result:

The transformation was a resounding success. The shared narrative of empowerment and the growth mindset fundamentally changed the company’s culture. It broke down silos, fostered collaboration, and unleashed a wave of innovation that led to the creation of products like Microsoft Teams and the explosive growth of Azure. By leading with a new story, Nadella didn’t just change what Microsoft did; he changed who they were, proving that narrative is a powerful lever for the most profound organizational change.


Case Study 2: Southwest Airlines and the Story of the Underdog

The Challenge:

In the 1970s, the airline industry was dominated by large, bureaucratic carriers. A small, upstart airline in Texas, Southwest, faced a monumental challenge. They couldn’t compete on size or resources, so they had to compete on something else. Co-founder Herb Kelleher’s challenge was to inspire a team and a customer base to believe in a new, unconventional way of flying.

The Narrative-Driven Solution:

Kelleher didn’t just create a low-cost airline; he created a powerful narrative. The story of Southwest was that of the **underdog fighting the Goliaths** of the industry. The narrative was centered on rebellion, fun, and common sense. Employees were not just ticket agents or flight attendants; they were the heroes fighting for the everyman, making flying affordable and enjoyable. They were empowered to be funny, to go off-script, and to treat customers like friends. Every internal communication and external advertisement reinforced this core story, from flight attendants in shorts to cheeky taglines.

The Result:

This powerful narrative created a culture of fierce loyalty and an employee base that was so engaged they would go above and beyond to delight customers. The story of the underdog resonated with the public, building a customer community that was fiercely loyal to the brand. Southwest became one of the most consistently profitable airlines in history, not by having the most features, but by having the most compelling story. The narrative of rebellion and fun was the single most powerful tool for attracting talent, retaining customers, and driving a truly unique and successful business model.


Conclusion: The Leader as a Storyteller

In the final analysis, leaders are not just managers of resources; they are guardians of a story. Whether you are leading a team, a department, or an entire organization, your ability to inspire change is directly tied to your ability to articulate a compelling narrative. It is the story that provides context, creates purpose, and forges the emotional connections required for people to take on the difficult journey of change.

So, the next time you are faced with a transformation, put away the spreadsheets and data for a moment. Instead, ask yourself: What story are we telling? What is our “why”? What does the new world look like? And who are the heroes who will bring it to life? The most powerful and enduring transformations are built not on logic, but on the enduring and timeless magic of a great story.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Unsplash

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Top 10 Human-Centered Change & Innovation Articles of October 2022

Top 10 Human-Centered Change & Innovation Articles of October 2022Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are October’s ten most popular innovation posts:

  1. Bridging the Gap Between Strategy and Reality — by Braden Kelley
  2. How Do You Judge Innovation: Guilty or Innocent? — by Robyn Bolton
  3. Scaling New Heights – Building Resilience — by Teresa Spangler
  4. What Great Transformational Leaders Learn from Their Failures — by Greg Satell
  5. Your Brand Isn’t the Problem — by Mike Shipulski
  6. What’s Next – Through the Looking Glass — by Braden Kelley
  7. Don’t Blame Quiet Quitting for a Broken Business Strategy — by Soren Kaplan
  8. The Ways Inflection Points Define Our Future — by Greg Satell
  9. How to Use TikTok for Marketing Your Business — by Shep Hyken
  10. Making Innovation the Way We Do Business (easy as ABC) — by Robyn Bolton

BONUS – Here are five more strong articles published in September that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last two years:

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

AI-Powered Foresight

Predicting Trends and Uncovering New Opportunities

AI-Powered Foresight

GUEST POST from Chateau G Pato

In a world of accelerating change, the ability to see around corners is no longer a luxury; it’s a strategic imperative. For decades, organizations have relied on traditional market research, analyst reports, and expert intuition to predict the future. While these methods provide a solid view of the present and the immediate horizon, they often struggle to detect the faint, yet potent, signals of a more distant future. As a human-centered change and innovation thought leader, I believe that **Artificial Intelligence is the most powerful new tool for foresight**. AI is not here to replace human intuition, but to act as a powerful extension of it, allowing us to process vast amounts of data and uncover patterns that are invisible to the human eye. The future of innovation isn’t about predicting what’s next; it’s about systematically sensing and shaping what’s possible. AI is the engine that makes this possible.

The human brain is a marvel of pattern recognition, but it is limited by its own biases, a finite amount of processing power, and the sheer volume of information available today. AI, however, thrives in this chaos. It can ingest and analyze billions of data points—from consumer sentiment on social media, to patent filings, to macroeconomic indicators—in a fraction of the time. It can identify subtle correlations and weak signals that, when combined, point to a major market shift years before it becomes a mainstream trend. By leveraging AI for foresight, we can move from a reactive position to a proactive one, turning our organizations from followers into first-movers.

The AI Foresight Blueprint

Leveraging AI for foresight isn’t a one-and-done task; it’s a continuous, dynamic process. Here’s a blueprint for how organizations can implement it:

  • Data-Driven Horizon Scanning: Use AI to continuously monitor a wide range of data sources, from academic papers and startup funding rounds to online forums and cultural movements. An AI can flag anomalies and emerging clusters of activity that fall outside of your industry’s current focus.
  • Pattern Recognition & Trend Identification: AI models can connect seemingly unrelated data points to identify nascent trends. For example, an AI might link a rise in plant-based food searches to an increase in sustainable packaging patents and a surge in home gardening interest, pointing to a larger “Conscious Consumer” trend.
  • Scenario Generation: Once a trend is identified, an AI can help generate multiple future scenarios. By varying key variables—e.g., “What if the trend accelerates rapidly?” or “What if a major competitor enters the market?”—an AI can help teams visualize and prepare for a range of possible futures.
  • Opportunity Mapping: AI can go beyond trend prediction to identify specific market opportunities. It can analyze the intersection of an emerging trend with a known customer pain point, generating a list of potential product or service concepts that address an unmet need.

“AI for foresight isn’t about getting a crystal ball; it’s about building a powerful telescope to see what’s on the horizon and a microscope to see what’s hidden in the data.”


Case Study 1: Stitch Fix – Algorithmic Personal Styling

The Challenge:

In the crowded and highly subjective world of fashion retail, predicting what a single customer will want to wear—let alone an entire market segment—is a monumental challenge. Traditional methods relied on seasonal buying patterns and the intuition of human stylists. This often led to excess inventory and a high rate of returns.

The AI-Powered Foresight Response:

Stitch Fix, the online personal styling service, built its entire business model on AI-powered foresight. The company’s core innovation was not in fashion, but in its algorithm. The AI ingests data from every single customer interaction—what they kept, what they returned, their style feedback, and even their Pinterest boards. This data is then cross-referenced with a vast inventory and emerging fashion trends. The AI can then:

  • Predict Individual Preference: The algorithm learns each customer’s taste over time, predicting with high accuracy which items they will like. This is a form of micro-foresight.
  • Uncover Macro-Trends: By analyzing thousands of data points across its customer base, the AI can detect emerging fashion trends long before they hit the mainstream. For example, it might notice a subtle shift in the popularity of a certain color, fabric, or cut among its early adopters.

The Result:

Stitch Fix’s AI-driven foresight has allowed them to operate with a level of efficiency and personalization that is nearly impossible for traditional retailers to replicate. By predicting consumer demand, they can optimize their inventory, reduce waste, and provide a highly-tailored customer experience. The AI doesn’t just help them sell clothes; it gives them a real-time, data-backed view of future consumer behavior, making them a leader in a fast-moving and unpredictable industry.


Case Study 2: Netflix – The Algorithm That Sees the Future of Entertainment

The Challenge:

In the early days of streaming, content production was a highly risky and expensive gamble. Studios would greenlight shows based on the intuition of executives, focus group data, and the past success of a director or actor. This process was slow and often led to costly failures.

The AI-Powered Foresight Response:

Netflix, a pioneer of AI-powered foresight, revolutionized this model. They used their massive trove of user data—what people watched, when they watched it, what they re-watched, and what they skipped—to predict not just what their customers wanted to watch, but what kind of content would be successful to produce. When they decided to create their first original series, House of Cards, they didn’t do so on a hunch. Their AI analyzed that a significant segment of their audience had a high affinity for the original British series, enjoyed films starring Kevin Spacey, and had a preference for political thrillers directed by David Fincher. The AI identified the convergence of these three seemingly unrelated data points as a major opportunity.

  • Predictive Content Creation: The algorithm predicted that a show with these specific attributes would have a high probability of success, a hypothesis that was proven correct.
  • Cross-Genre Insight: The AI’s ability to see patterns across genres and user demographics allowed Netflix to move beyond traditional content silos and identify new, commercially viable niches.

The Result:

Netflix’s success with House of Cards was a watershed moment that proved the power of AI-powered foresight. By using data to inform its creative decisions, Netflix was able to move from a content distributor to a powerful content creator. The company now uses AI to inform everything from production budgets to marketing campaigns, transforming the entire entertainment industry and proving that a data-driven approach to creativity is not only possible but incredibly profitable. Their foresight wasn’t a lucky guess; it was a systematic, AI-powered process.


Conclusion: The Augmented Innovator

The era of “gut-feel” innovation is drawing to a close. The most successful organizations of the future will be those that have embraced a new model of augmented foresight, where human intuition and AI’s analytical power work in harmony. AI can provide the objective, data-backed foundation for our predictions, but it is up to us, as human leaders, to provide the empathy, creativity, and ethical judgment to turn those predictions into a better future.

AI is not here to tell you what to do; it’s here to show you what’s possible. Our role is to ask the right questions, to lead with a strong sense of purpose, and to have the courage to act on the opportunities that AI uncovers. By training our teams to listen to the whispers in the data and to trust in this new collaborative process, we can move from simply reacting to the future to actively creating it, one powerful insight at a time.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Microsoft CoPilot

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Why We Need Digital Health Package Inserts

Why We Need Digital Health Package Inserts

GUEST POST from Arlen Meyers, M.D.

The Food and Drug Administration announced new rules for nutrition labels that can go on the front of food packages to indicate that they are “healthy.”

According to one source, a package insert is a document included in the package of a medication that provides information about that drug and its use. For prescription medications, the insert is technical, and provides information for medical professionals about how to prescribe the drug. Package inserts for prescription drugs often include a separate document called a “patient package insert” with information written in plain language intended for the end-user — the person who will take the drug or give the drug to another person, for example a minor. Inserts for over-the-counter medications are also written plainly.

In the US the document is called “prescribing information” or the “package insert” (PI) and layperson’s document is called the patient package insert (PPI). In Europe the technical document is called the “summary of product characteristics” (SmPC) and the document for end-users is called the “patient information leaflet” (PIL) or “package leaflet”.

Given the confusion about 1) which digital health product to prescribe for any given patient, 2) the fact that many products are actually consumer products designated to provide information and education, not diagnosis or treatment, and 3) most are not clinically validated or cost-effective, perhaps it’s time to require package inserts for the prescriber and the patients.

Prescription digital therapeutics is also being added to the therapeutic armementarium and is raising several questions about safety, effectiveness, cost-effectiveness, ROI, reimbursement and regulatory requirements, including whether package inserts should be required, how they should be made available to patients, and what they should include.

What is in a package insert is described and required by the FDA and includes:

  • Clinical pharmacology – tells how the medicine works in the body, how it is absorbed and eliminated, and what its effects are likely to be at various concentrations. May also contain results of various clinical trials (studies) and/or explanations of the medication’s effect on various populations (e.g. children, women, etc.).
  • Indications and usage – uses (indications) for which the drug has been FDA-approved (e.g. migraines, seizures, high blood pressure). Physicians legally can and often do prescribe medicines for purposes not listed in this section (so-called “off-label uses”).
  • Contraindications – lists situations in which the medication should not be used, for example in patients with other medical conditions such as kidney problems or allergies
  • Warnings – covers possible serious side effects that may occur
  • Precautions – explains how to use the medication safely including physical impairments and drug interactions; for example “Do not drink alcohol while taking this medication” or “Do not take this medication if you are currently taking MAOI inhibitors
  • Adverse reactions – lists all side effects observed in all studies of the drug (as opposed to just the dangerous side effects which are separately listed in “Warnings” section)
  • Drug abuse and dependence – provides information regarding whether prolonged use of the medication can cause physical dependence (only included if applicable)
  • Overdosage – gives the results of an overdose and provides recommended action in such cases
  • Dosage and administration – gives recommended dosage(s); may list more than one for different conditions or different patients (e.g., lower dosages for children)
  • How supplied – explains in detail the physical characteristics of the medication including color, shape, markings, etc., and storage information (e.g., “Store between 68 and 78°F “)

Of course, there would need to be some modifications, like:

  1. Safety and efficacy
  2. Cybersecurity risks
  3. Data security
  4. Data , privacy, ownership and transfer rights
  5. Side effects
  6. Designation as a consumer product or a diagnostic or therapeutic device
  7. Generic substitution possibilities
  8. Adverse app reactions
  9. App-app interactions
  10. Compatibility with other drugs or devices

One thing that will not be in the insert will be what all this costs to you or someone else who has to pay for it.

Research shows that “Safety of apps is an emerging public health issue. The available evidence shows that apps pose clinical risks to consumers. Involvement of consumers, regulators, and healthcare professionals in development and testing can improve quality. Additionally, mandatory reporting of safety concerns is needed to improve outcomes.”

It is short-sighted, however, to let DTC medical apps slip under the regulatory radar. As described in a recent article for Nature, they could turn out to have costs which insurers or taxpayers might ultimately be responsible for.

But, the FDA is not the only agency with regulatory power. How about the Federal Trade Commission? Almost every promotion these days claims “AI-powered” What should be the truth in advertising standards to make that claim? Should there be something like a nutrition label ?

Medical student and resident education in clinical informatics, including artificial intelligence, is a good start. Here are some potential curricular and extracurricular learning opportunities for artificial intelligence in medicine.

At this point you are probably thinking, “We have enough regulations and we love our APPs. So what if they don’t make us any better.”

Go shove your insert.

Next, you’ll be telling us it has to have all that cotton in the bottle too.

Image Credits:

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Meet me in Manhattan – Innovation and Change Advisory

Meet me in Manhattan - Innovation and Change Advisory

As the title of the site says, I focus on human-centered change and innovation, bringing in elements of design thinking, customer experience, employee experience and digital transformation as needed.

On November 18, 2022 I will be in New York City (Midtown Manhattan) and available to connect for any of the following purposes:

  • Private keynote or workshop for your organization
  • Certification session on the Change Planning Toolkit™ and/or FutureHacking™ sets of tools for your team
  • Featured keynote speaker or workshop for a sales event or conference
  • Advisory session to provide input on your innovation or transformation program, or a specific innovation project
  • Audio or video podcast appearance
  • Grab a coffee or a meal — to connect or reconnect

If you work in Manhattan or are willing to travel in from elsewhere in the greater New York City metropolitan area (or the world) and are looking to increase the innovation or transformation capabilities of your organization or to de-risk an innovation project by getting an outside perspective, please contact me.

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