Category Archives: Healthcare

Trends in Medical School Innovation and Entrepreneurship Education

Trends in Medical School Innovation and Entrepreneurship Education

GUEST POST from Arlen Meyers, M.D.

Biomedical and health entrepreneurship continues to expand around the world. Driven by global pressures to optimize the allocation of scarce resources, life science bioentrepreneurs are creating innovative products, platforms, service and systems that deliver more value. As a result, the demand for biomedical and health professional entrepreneurial talent has increased and biomedical and health innovation and entrepreneurship education and training (BEET) programs are growing to fill the gap.

Authors of a 2019 analysis of 171 allopathic medical schools conducted an exhaustive search of the published literature and websites of existing medical school innovation and entrepreneurship (MS I&E) programs, with an emphasis on answering the following three questions:

1. How are I&E programs organized and integrated with the medical school curriculum?
2. What are the core competencies of the I&E program?
3. How are the core competencies measured/evaluated?

Twenty-eight I&E-oriented medical education programs were identified from 26 schools; all of the programs integrated faculty leadership with backgrounds in medicine, engineering, and/or business/entrepreneurship. Of the programs, 57% (16/28) had been launched within the past four years and 75% (21/28) based program enrollment on a selective application process. Nearly all (27/28) incorporated lecture series and/or hands-on modules as a teaching technique. The most prevalent metric was completion of a capstone project (22/28; 79%). At least 15.2% (26/171) of American and Canadian allopathic medical schools include the option for students to participate in an I&E curriculum-based program.

In a few short years, educational offerings in MS I&E have accelerated, in part due to the impact of the COVID pandemic. Trends include:

  1. Sharing lessons learned teaching medical students innovation and entrepreneurship
  2. Experimenting with various program business models
  3. Creating medical student entrepreneurs
  4. Rethinking MS I&E
  5. Designing a curriculum map and defining learning objectives, entrustable professional activities and knowledge,skills, abilities and competencies
  6. Mentoring and guiding medical students
  7. Offering non-clinical-career options
  8. Providing exit ramps
  9. Rethinking how we select medical students
  10. Resetting the future of academic medical center work
  11. Using principles of medical education reform and what we should be teaching in MedEd 2030
  12. Training MS I&E faculty
  13. Encouraging interprofessional and transdisciplinary entrepreneurship programs
  14. Integrating premed, medical student and postgraduate programs
  15. Encouraging life-long learning

We should teach innovation, entrepreneurship and the business of medicine in medical schools, not MD/MBA programs. MBE programs are a better option for those interested in getting an idea to a patient.

Here are the many reasons why physician entrepreneurship is important and why we are likely to see more of the international design, development and deployment of MS I&E programs in both allopathic and osteopathic schools as well as other health professional schools, including nursing, pharmacy and public health schools. Ultimately, as a result, patients and sickcare systems will be the beneficiaries and doctors will be better and happier.

Image credit: Pixabay

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

Mindfulness for Mavericks

Finding Calm in the Chaos of Innovation

Mindfulness for Mavericks - Finding Calm in the Chaos of Innovation

GUEST POST from Art Inteligencia

The world of the innovator — the Maverick — is inherently chaotic. It is defined by relentless speed, constant pivoting, the terror of the unknown, and the inevitable sting of failure. For too long, we have celebrated the myth of the stressed-out, high-octane leader who fuels breakthrough with sheer exhaustion and adrenaline. But this model is not only unsustainable; it is strategically deficient. Exhausted minds make predictable mistakes, miss subtle signals, and react impulsively. As a human-centered change and innovation thought leader, I argue that the single most powerful, yet overlooked, strategic tool for any innovator is Mindfulness — the non-judgmental awareness of the present moment. Mindfulness is not a “soft” wellness trend; it is the hard skill required to cultivate clarity, enhance resilience, and make smarter, more ethical decisions in the face of constant organizational chaos.

Innovation lives in the space between stimulus and response. When an unexpected challenge arises — a competitor’s sudden move, a prototype failure, or a market rejection — the unmindful leader reacts based on fear, bias, or past trauma. The mindful leader, however, creates a brief, intentional pause. This pause is where wisdom resides. It allows them to observe the emotional surge without being hijacked by it, ensuring that their response is strategic and deliberate, not emotional and reactionary. The capacity to be fully present, focused, and non-reactive is, therefore, the core competitive advantage in any fast-moving market. Calm is the new creativity.

Mindfulness as a Strategic Capability

Embedding mindfulness into the innovation culture is not a matter of employee benefit; it is a strategic imperative that directly impacts your bottom line and your capacity for disruptive thought. Here is why it belongs on the strategy table:

  • Reduces Cognitive Bias: Innovation is plagued by confirmation bias and anchoring bias. Mindfulness trains the brain to observe thoughts, feelings, and assumptions as temporary phenomena, not as absolute truths. This ability to decenter from one’s own immediate judgments is vital for seeing new solutions and avoiding fatal strategic blind spots.
  • Accelerates Resilience: Failure is oxygen for innovation. Mindfulness equips teams to process setbacks faster. By practicing non-judgmental observation, innovators learn to treat failure not as a personal crisis, but as neutral data — a valuable data point that requires analysis, not anguish. This allows for quicker pivots and less wasted time mourning a failed concept.
  • Enhances Deep Listening: Human-centered innovation demands empathy. Mindfulness sharpens our ability to listen—not just to the words being said in a user interview, but to the unspoken emotions, the subtle body language, and the unarticulated needs. This deep listening capability is the raw fuel for breakthrough insights.

“The mind is not a vessel to be filled, but a fire to be stoked. Mindfulness is the bellows that focuses the flame.” — Braden Kelley (author of Stoking Your Innovation Bonfire)


Case Study 1: Google’s Search Inside Yourself (SIY) Program – Institutionalizing Calm

The Challenge:

Even at a place like Google, where technical brilliance is abundant, high pressure, rapid scaling, and information overload were creating burnout and hindering effective cross-functional leadership. The challenge was finding a way to enhance emotional intelligence and focus that was rigorous, scientific, and acceptable to a highly analytical culture.

The Mindfulness Solution:

In 2007, Google launched Search Inside Yourself (SIY), a now-famous program pioneered by engineer Chade-Meng Tan. It was a six-week course designed not just for “wellness,” but explicitly to enhance emotional intelligence, self-awareness, and focus through mindfulness training. The program used neurological data and a practical, secular approach to teach engineers and leaders how to manage stress and respond more skillfully to complex workplace situations. By linking mindfulness directly to measurable outcomes like improved collaboration and reduced conflict, the program integrated it as a strategic leadership tool.

The Human-Centered Result:

SIY proved that institutionalizing mindfulness could be scaled, even in the most demanding tech environments. The program fostered a generation of leaders better equipped to handle ambiguity and lead with empathy. It demonstrated that by training the mind to be calm and present, you directly improve the capacity for high-stakes problem-solving and sustainable innovation—making it a core capability, not a peripheral perk.


Case Study 2: Tactical Mindfulness in High-Stakes Environments – The Intentional Pause

The Challenge:

In fields where chaos is the norm—such as emergency medicine, aviation, or high-level tactical operations—decision-making must be instantaneous, precise, and free of panic. A sudden system failure in a cockpit or a rapid-fire sequence of events in a surgical theater demands peak cognitive performance under immense stress. Traditional training focuses on technical checklists, but often fails to address the cognitive breakdown that occurs when fear takes over.

The Mindfulness Solution:

High-reliability organizations, from Navy SEALs to commercial aviation safety experts, increasingly incorporate elements of Tactical Mindfulness into their training. This is not about long meditation sessions; it is about practicing the Intentional Pause. Techniques like “Box Breathing” or a quick “Sensory Scan” (grounding oneself by noting five things they can hear, see, or feel) are used to rapidly interrupt the panic cycle. This returns the prefrontal cortex—the rational decision-making center—to control. The goal is to maximize the time between the chaotic stimulus (e.g., a warning light) and the response, ensuring the action is deliberate and based on training, not terror.

The Human-Centered Result:

This application of mindfulness strips away any lingering stigma and positions it as a non-negotiable performance multiplier. By cultivating the capacity for calm under fire, these professionals significantly reduce error rates. This translates directly to the innovation world: the ability to execute an intentional pause when a major product launch fails, or a critical pivot is required, ensures the team moves from crisis to calculated action with speed and clarity—the very definition of resilient innovation.


Conclusion: The Ultimate Future-Proofing Skill

Mindfulness is the ultimate tool for FutureHacking. It allows the Maverick to rise above the noise of the market and the internal anxiety of their own ambition, creating the necessary cognitive space to see truly disruptive opportunities. Leaders must recognize that their most powerful asset is the clarity of their team’s attention. By modeling and supporting mindfulness, you are not just offering a pathway to reduced stress; you are building an organization that is inherently more focused, more empathetic, more resilient, and ultimately, more capable of sustainable innovation.

The time has come to stop chasing the next distraction and start prioritizing the depth of your presence. The future of change belongs not to the fastest to react, but to the most skilled at pausing. Find the calm within the chaos, and you will find the answers you seek.

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: Wikimedia Commons

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

How COVID-19 Has Exposed Us

How COVID-19 Has Exposed Us

GUEST POST from Greg Satell

The moon landing in 1969 was, in many ways, the high point of the American century. Since then, we’ve been beset by scandals like Watergate, Iran-Contra and two presidential impeachments, mired in never-ending wars that we don’t win, while increasingly encumbered by rising debts and income inequality amid falling productivity growth. Incomes have stagnated while education and healthcare costs have soared.

Yet in an essay written back in February, just before the Covid-19 crisis, Ross Douthat wrote that these apparent woes are actually signs of success. In effect, he argued that we lack major technological breakthroughs because we become so technologically advanced, and we lack economic progress because we’ve become so prosperous.

Even then, it was a strange and somewhat maddening position to take. Why would Douthat, an intelligent and insightful man, write such things? Because he so wanted to believe them that he went in search for facts to support them. Many of us have been doing the same. Yet the Covid-19 crisis has unmasked us and it’s time to start facing up to the truth.

A Failed Market Revolution

In 1954, the eminent economist Paul Samuelson, came across an obscure dissertation written by a French graduate student named Louis Bachelier around the turn of the century. The paper, which anticipated Einstein’s later breakthrough on Brownian motion, declared somewhat innocently that “the mathematical expectation of the speculator is zero.”

Samuelson’s discovery launched a revolution in mathematical finance models based on on Bachelier’s assumption, including the Efficient Market Hypothesis, portfolio theory, the Capital Asset Pricing Model (CAPM) and the Black-Scholes model. The underlying assumption was that markets were rational, and risk could be quantified and managed effectively.

The flaws in these models should have been obvious even at the time and some, including the mathematician Benoit Mandelbrot, pointed out that markets were far more volatile than the financial engineering models predicted. Nevertheless, policymakers chose to ignore the warnings and put their faith in the “magic of the market.”

Probably the biggest failure of market fundamentalism is that, as economist Thomas Philippon points out in his book The Great Reversal, over the past 40 years markets in the United States have become significantly weaker. In a similar vein, a study published in Harvard Business Review that examined 893 industries found that two thirds had become more concentrated.

The truth is that we’ve chosen weaker markets and less competition, which has led to less dynamism and innovation. That’s no accident.

Digital Disruption

In Regional Advantage, AnnaLee Saxenian describes how Silicon Valley replaced Boston’s “Technology Highway” as the center of the digital universe. While Boston was corporate and hierarchical, Silicon Valley was freewheeling and networked. The Silicon Valley ethos was very much the counterculture.

So, it was no accident that when Steve Jobs flew to New York to recruit John Sculley, who was at the time President of Pepsi, to lead Apple he asked him,”Do you want to sell sugar water for the rest of your life, or do you want to come with me and change the world?” The implication being that selling computers was a higher calling than selling soft drinks.

That was nearly 40 years ago and while the Covid-19 crisis has certainly highlighted some benefits of digital technology, such as cheap and effective teleconferencing, it’s also become clear that the digital revolution has largely been a disappointment. Productivity growth, except for a relatively brief period in the late nineties and early aughts, has been depressed since the 1970s.

Compare the iPhone to the breakthroughs of the mid-twentieth century, such as Bell Lab’s transistor, Boeing’s 707 and IBM’s 360 and it becomes clear that while digital technology has done much to disrupt industries, it’s done relatively little to create significant new value, at least in comparison to earlier technologies.

The Uncertain Promise of Globalization

The aftermath of the fall of the Berlin Wall was a time of great optimism. With the Cold War over, books like Francis Fukayama’s The End of History predicted a capitalist, democratic utopia in which free markets would conquer the world making everyone more prosperous. Those that refused to reform would be unable to compete.

While there were genuine achievements, especially in lifting up the world’s poorest, it’s hard to see how globalization has made us significantly better off. In fact, rather than the triumph of freedom, we’ve seen a global rise in populist authoritarian movements, the polar opposite of what intellectuals like Fukayama predicted.

In the United States, the situation has become especially dire. Social mobility and life expectancy in the white working class are declining, while anxiety and depression are rising to epidemic levels. While wages have stagnated, the cost of healthcare and education has soared, squeezing the middle class. Income inequality is at its highest level in 50 years.

So, while it’s true that there have been real benefits from globalization, such as curbing inflation, we’ve done little to mitigate the costs to the average citizen. That didn’t just happen but was the result of choices that we made.

We Need to Choose Resilience and Grand Challenges Over Output and Disruption

The Covid-19 crisis has unmasked us. We thought that markets, technology and globalization would save us, that we could just set up some sensible rules of the road and everything would run on autopilot. That’s clearly untrue. We took short-term profits while ignoring long-term costs, loaded up on debt and hoped for the best.

The current crisis has followed the same pattern. We simply failed to prepare for known risks because it seemed expedient not to. George Bush warned about the possibility of a pandemic as did his Health and Human Services Secretary. Jay Leno mocked them. The Obama administration set up a step-by-step playbook and it was ignored. The long list of failures goes on.

Yet we don’t have to be victims of our failed choices. We can learn to make better ones. After the 1918 Spanish Flu pandemic, we embarked on a 70-year productivity boom. Out of the ashes of World War II, we built a new era of peace and prosperity that was unprecedented in world history. We can do so again. We have that power.

New technologies, under development as we speak, will likely give us the power to cure cancer, create clean energy, save the environment and colonize space. We can rebuild the middle class, usher in a new era of peace and prosperity, increase life expectancy while improving quality of life. These are all things we may be able to achieve in the next decade or two.

Yet those possibilities are merely potential that we can succeed or fail to actualize. We can, as we did after World War II, choose to invest in the future and tackle grand challenges. We can build new infrastructure, spawn new industries and create an educated workforce. Or we can, as we did after the end of the Cold War, choose disruption over construction.

What’s clear is that nothing is inevitable. The digital revolution didn’t have to be a dud. The Great Recession didn’t have to happen. The Covid-19 Pandemic could have been, at the very least, greatly mitigated. We are responsible for the choices we make. Now is the time to shoot for the moon (and Mars), not to grade ourselves on a curve.

— Article courtesy of the Digital Tonto blog
— Image credit: Pixabay

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

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:

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

Innovative Applications of AI in Healthcare

Innovative Applications of AI in Healthcare

GUEST POST from Chateau G Pato

As a human-centered change and innovation thought leader, I’ve always believed that true progress emerges when technology serves humanity’s deepest needs. In no field is this more evident than healthcare, where Artificial Intelligence (AI) is rapidly transforming possibilities. We’re moving beyond incremental improvements to truly innovative applications that are reshaping patient care, operational efficiency, and even the very nature of medical discovery. This isn’t just about automating tasks; it’s about augmenting human intelligence, freeing up clinicians for higher-value activities, and delivering more personalized, proactive, and precise care.

The healthcare industry, traditionally cautious with radical technological shifts due to regulatory complexities and inherent risks, is now at an inflection point. The convergence of vast data availability, exponential computing power, and urgent global health needs has created the perfect storm for AI’s rapid adoption. Its capacity to process immense datasets, identify intricate patterns, and make predictions with astonishing accuracy is making it an indispensable tool. These innovative applications are not only addressing long-standing challenges like diagnostic errors and administrative burdens but also opening entirely new avenues for treatment and prevention, fundamentally improving the human experience of healthcare.

Revolutionizing Diagnostics and Treatment Planning

One of AI’s most profound impacts in healthcare is its ability to dramatically enhance diagnostic accuracy and personalize treatment plans. Machine learning algorithms, meticulously trained on massive repositories of medical images, comprehensive patient records, and intricate genomic data, can detect anomalies and predict disease progression with a precision that often surpasses human capabilities. This leads to earlier detection, more targeted interventions, and ultimately, significantly better patient outcomes.

Consider the realm of medical imaging. While radiologists are highly skilled professionals, the sheer volume of images they must review can lead to fatigue and occasional oversight. AI acts as an intelligent co-pilot, flagging suspicious areas for closer examination, thereby reducing diagnostic errors and speeding up the process. This means faster diagnoses and more timely treatment for patients. Similarly, in pathology, AI can analyze tissue samples, identifying cancerous cells with remarkable accuracy, which is crucial for early and effective treatment, ultimately saving lives and improving quality of life.

Streamlining Operations and Personalizing Care Delivery

Beyond diagnostics, AI is making significant strides in optimizing healthcare operations and enabling more deeply personalized care delivery. From automating tedious administrative tasks to empowering virtual health assistants, AI is constructing a more efficient, responsive, and truly patient-centric healthcare ecosystem.

The administrative burden on healthcare professionals is staggering, often consuming valuable time that could be spent on direct patient interaction. AI-powered tools can automate complex scheduling, streamline billing processes, and efficiently manage electronic health records (EHRs), allowing clinicians to refocus on what matters most: compassionate, high-touch patient care. Furthermore, AI-driven predictive analytics are transforming population health management. They can forecast patient no-shows, optimize resource allocation within hospitals, and even predict potential disease outbreaks, enabling proactive public health interventions that benefit entire communities.

Personalized medicine, once a distant dream, is now becoming a tangible reality thanks to AI. By meticulously analyzing an individual’s unique genetic makeup, lifestyle data, and comprehensive medical history, AI algorithms can identify the most effective treatments and even predict how a patient will respond to specific medications. This fundamentally shifts healthcare from a generalized, one-size-fits-all approach to highly tailored interventions, maximizing efficacy, minimizing adverse effects, and ensuring each patient receives the care best suited to their individual needs.

Case Studies in Action: AI as a Human Enabler

Case Study 1: Accelerating Drug Discovery with AI – BenevolentAI

The traditional process of drug discovery is notoriously time-consuming, immensely expensive, and fraught with high failure rates. Identifying potential drug candidates, thoroughly understanding complex disease pathways, and accurately predicting drug interactions can take years, even decades. BenevolentAI, a pioneering AI company, is revolutionizing this process by leveraging AI to dramatically accelerate drug discovery and development, bringing life-saving treatments to market faster.

Their cutting-edge, AI-driven platform ingests and synthesizes vast amounts of biomedical data, including millions of scientific papers, comprehensive clinical trial results, and intricate genomic information. Through sophisticated machine learning algorithms, the platform identifies novel drug targets, generates groundbreaking new drug hypotheses, and even designs innovative molecular structures. This dramatically reduces the time and cost associated with early-stage drug discovery. A compelling example is BenevolentAI’s success in identifying existing drugs with potential to treat amyotrophic lateral sclerosis (ALS) by analyzing vast datasets of scientific literature, showcasing AI’s ability to uncover hidden connections and accelerate the repurposing of existing medicines for new indications.

By automating parts of the research process and uncovering insights that human researchers might miss, BenevolentAI is directly helping to bring life-saving medications to patients faster, transforming the pharmaceutical pipeline and offering renewed hope for previously untreatable diseases.

Case Study 2: Enhancing Diabetic Retinopathy Detection – Google DeepMind Health

Diabetic retinopathy is a leading cause of blindness worldwide, yet it is largely preventable if detected and treated early. However, effective screening traditionally requires skilled human graders to meticulously examine retinal scans, a process that can be resource-intensive and prone to inconsistencies, especially in underserved areas with limited specialist access.

Google DeepMind Health developed an AI system capable of detecting diabetic retinopathy from retinal scans with an accuracy comparable to, and in some cases even exceeding, that of human ophthalmologists. The system was trained on an immense dataset of millions of retinal images, meticulously labeled and verified by expert eye specialists. This AI can rapidly analyze scans and pinpoint signs of the disease, even subtle ones that might be overlooked by the human eye. This innovation holds immense potential for scaling up vital screening programs, particularly in regions with limited access to specialized medical professionals. It allows for significantly earlier intervention, preserving vision for countless individuals globally and alleviating the immense burden on healthcare systems.

This case powerfully highlights AI’s ability to augment human expertise, improve accessibility to critical diagnostic tools, and ultimately, prevent debilitating conditions on a global scale, directly impacting the quality of life for millions.

The Human Element: Ethics, Trust, and Shaping Our Future

While the technological advancements are breathtaking, it’s crucial to always remember that AI in healthcare must remain unequivocally human-centered. This means prioritizing ethical considerations above all else, diligently building public and professional trust, and ensuring that AI serves to profoundly empower both patients and providers, rather than replacing the irreplaceable human touch.

Significant challenges such as patient data privacy, the potential for algorithmic bias, and the critical need for explainable AI are paramount. We must rigorously ensure that AI models are trained on diverse, representative datasets to avoid perpetuating or even amplifying existing health disparities. Transparency in how AI systems arrive at their decisions is also absolutely vital for clinicians to trust and effectively integrate these powerful tools into their practice. The “black box” problem of AI must be addressed with robust governance frameworks, continuous oversight, and a commitment to clarity.

The future of AI in healthcare is not one where machines replace doctors, but rather a synergistic partnership where AI acts as an intelligent, tireless assistant. It will free up clinicians to focus on the compassionate, empathetic, nuanced, and inherently human aspects of care that only humans can provide. It’s about empowering healthcare professionals with unparalleled insights, enabling more informed and precise decision-making, and ultimately, creating a healthier, more equitable world for everyone. As we continue to innovate, our unwavering focus must remain on the human at the heart of every interaction, ensuring AI is a powerful force for good, a true partner in advancing health and well-being for all.

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: Pixabay

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

Land Mines of Intrapreneurship

Land Mines of Intrapreneurship

GUEST POST from Arlen Meyers, M.D.

Entrepreneurship is the pursuit of opportunity under VUCA (volatile, uncertain, complex and ambiguous) conditions with the goal of creating user/stakeholder defined value through the deployment of innovation using a VAST business model.

Intrapreneurs are employees trying to act like entrepreneurs within their organizations or non-profits. Here is the textbook of physician intrapreneurship.

Here is how to get your ideas noticed:

If you are trying to develop and deploy an AI solution in your sickcare organization, have you answered these questions?

Here are some reasons why your initiative will fail.

Do you have a VAST edupreneur business model?

Studies show that around 60 to 80% of new products fail. The same is probably true for programs and new educational offerings. It is difficult to determine the exact number of unreported cases, because who would like to talk about his innovation flops? The odds are against you.

So, what are the landmines to detect and avoid?

  1. You did not do your homework because you where unwilling, unable to do so ,or ,you do not have an entrepreneurial mindset and think because you already have 2 people who said they were interested that you could forge ahead.
  2. You did not have an exit strategy.
  3. You did not read the field manual.
  4. You don’t have the right sponsor with staying power.
  5. You tried to bite off more than your stakeholders are willing or able to chew.
  6. You are a bad rebel and chalk it up to “being authentic.”
  7. You do not have the right clinical champions on board.
  8. You have empty seats on the bus or the wrong people sitting in them.
  9. You are making these rookie intrapreneur mindset mistakes.
  10. You are not addressing the dysfunction of teams.
  11. You are not aligned with your organization’s strategy or vision.
  12. You are working in the wrong place with a toxic or fixed culture or for the wrong person.
  13. You don’t have an innovation strategy
  14. You don’t get sales and marketing
  15. You didn’t ask and answer these four questions before you started
  16.  If you’ve got a major change on the horizon, here’s how to avoid three of the most common saboteurs of company transformation. First, understand that significant change will be harder than you think it will be to achieve. Next, be realistic about your organization’s capacity to implement changes. Finally, make sure your organization understands how and why the transformation is important to you.
  17. You have not learned how to win at Survivor  1) Don’t expect friendship. Invest in relationships outside your company to meet your emotional needs; 2) Manage sideways. Your reputation with your peers becomes an important factor as you’re being considered for senior ranks; and 3) Hone your political skills.

If you get too far ahead of your troops, it is hard to tell the difference between you and the enemy. De-risk yourself. Be careful out there.

Image credit: Pixabay

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

Should you be a physician entrepreneur?

Should you be a physician entrepreneur?

GUEST POST from Arlen Meyers, M.D.

Not every doctor is cut out to be a physician entrepreneur. Are you?

It seems to me there is confusion about physician entrepreneurship, its definition and whether it represents a threat to professionalism. I’m not alone. Is a physician entrepreneur someone who starts and runs a business, or is it something more?

Entrepreneurship is the pursuit of opportunity under variable, uncertain, complex and ambiguous conditions. The goal of all entrepreneurs, including physician entrepreneurs, is to create user defined value through the deployment of innovation using a VAST business model to accomplish, in the case of medical professionals, the quintuple aim or, if applicable, shareholder value.

Here are three things to know about physician entrepreneurship.

Because of the many changes in the art and practice of medicine, many doctors have decided to get involved in non-clinical side gigs or, in some instances, leave medicine entirely. Here is a guide to non-clinical careers.

Doctors are practicing the art of entrepreneurship for many reasons:

  1. It helps patients
  2. It’s fun and challenging
  3. It gives them the ability to exercise creativity
  4. It creates alignment and engagement with organization
  5. The profit motive
  6. It creates meaning
  7. It satisfies psychic needs
  8. It provides another sources of external vaidation
  9. It’s a way to get outside of your comfort zone
  10. It allows you to take more risk
  11. The sick care business model is broken and they want to be part of the big fix after feeling ignored and disempowered
  12. They have to to surthrive

Whether you are a pre-med, a medical student, a resident, a fellow or a practicing clinician thinking about beginning the entrepreneurial journey, you should take some time to identify your persona.

You career strategy starts with answering:

  1. Where are you now?
  2. Where do you want to go?
  3. How do you want to get there?

Begin by matching yourself with one of the four core entrepreneurial personas as defined by their willingness and ability to practice entrepreneurship successfully.

The Convinced and Confident know entrepreneurship should be part of their career pathway. In fact, many of them have had entrepreneurial life experiences prior to medical school.

The Curious but Clueless don’t know what they don’t know but are willing to learn more. Many have never held a job in their life. Some might be willing, but unable to develop an entrepreneurial mindset. . Others discover their innerpreneur, and move on.

The I Couldn’t Care Less are unwilling and unable to give it a try. Their attitude is , “I went to medical school to take care of patients, not take care of business”. What they don’t realize is that if you don’t take care of business, you have no business taking care of patients.

The Conflicted have yet to discover their “innerpreneur”, but are conflicted about whether to step outside of their comfort zones and cut the chord.

Your persona will help lead you to the next steps:

  1. The Convinced and Confident: Continue to improve your knowledge, skills, abilities and competencies and learn from your experience.
  2. The Curious but Clueless: Start with education, building your networks and finding mentors
  3. The I Couldn’t Care Less: Pass on entrepreneurship until or unless you change your mind. Here are the many reasons why you should not be a physician entrepreneur.
  4. The Conflicted: Start with the 6Rs of physician career transitioning, beginning with reflection.

Where you are in the thought process will depend on who you are.

Moving from unawareness to awareness to intention to decision to action might show you someone in the mirror you would have never recognized in the past. Or, you might be looking at the same old person.

Image credit: Pixabay

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

Challenges of Artificial Intelligence Adoption, Dissemination and Implementation

Challenges of Artificial Intelligence Adoption, Dissemination and Implementation

GUEST POST from Arlen Meyers, M.D.

Dissemination and Implementation Science (DIS) is a growing research field that seeks to inform how evidence-based interventions can be successfully adopted, implemented, and maintained in health care delivery and community settings.

Here is what you should know about dissemination and implementation.

Sickcare artificial intelligence products and services have a unique set of barriers to dissemination and implementation.

Every sickcare AI entrepreneur will eventually be faced with the task of finding customers willing and able to buy and integrate the product into their facility. But, every potential customer or segment is not the same.

There are differences in:

  1. The governance structure
  2. The process for vetting and choosing a particular vendor or solution
  3. The makeup of the buying group and decision makers
  4. The process customers use to disseminate and implement the solution
  5. Whether or not they are willing to work with vendors on pilots
  6. The terms and conditions of contracts
  7. The business model of the organization when it comes to working with early-stage companies
  8. How stakeholders are educated and trained
  9. When and how which end users and stakeholders have input in the decision
  10. The length of the sales cycle
  11. The complexity of the decision-making process
  12. Whether the product is a point solution or platform
  13. Whether the product can be used throughout all parts of just a few of the sickcare delivery network
  14. A transactional approach v a partnership and future development one
  15. The service after the sale arrangement

Here is what Sales Navigator won’t tell you.

Here is why ColdLinking does not work.

When it comes to AI product marketing and sales, when you have seen one successful integration, you have seen one process to make it happen and the success of the dissemination and implentation that creates the promised results will vary from one place to the next.

Do your homework. One size does not fit all.

Image credit: Pixabay

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

Real-World Applications of Design Thinking

Real-World Applications of Design Thinking

GUEST POST from Chateau G Pato

As a human-centered change and innovation thought leader, I’ve witnessed firsthand how design thinking can revolutionize the way organizations approach complex problems. Design thinking is not just a process but a mindset that prioritizes empathy, experimentation, and iteration. In this article, I’ll explore some real-world applications of design thinking, showcasing its transformative potential through two compelling case studies.

The Essence of Design Thinking

Design thinking emphasizes an iterative process and involves stages like empathy, definition, ideation, prototyping, and testing. Its power lies in its ability to break down silos, foster collaboration, and create solutions that are deeply aligned with user needs.

Case Study 1: Improving Public Transportation in Singapore

Singapore’s Land Transport Authority (LTA) faced challenges in optimizing the city’s public transportation system. With overcrowding and inefficiencies impeding commuter satisfaction, the LTA needed innovative solutions. They turned to design thinking for help.

The LTA began with the empathy phase, conducting in-depth interviews and surveys with commuters, bus drivers, and staff. This approach helped them to uncover pain points such as long waiting times, insufficient information about bus schedules, and crowded carriages.

In the ideation phase, multiple brainstorming sessions were held, bringing together diverse perspectives from designers, engineers, and everyday commuters. Ideas like real-time tracking apps, the redesign of bus stops, and enhanced user information systems were prototyped and tested with actual users.

Through iterative prototyping, the LTA successfully implemented real-time digital screens at bus stops, providing exact arrival times and occupancy levels. This innovation not only improved commuter satisfaction but also led to a 15% increase in public transport usage.

Case Study 2: Revolutionizing Healthcare through Human-Centered Design

Healthcare can often be a challenging field for both patients and providers. The Mayo Clinic, recognized globally for its patient-centered care, saw an opportunity to enhance patient experience further using design thinking.

The clinic embarked on an empathy-driven exploration by gathering insights from patients, families, and medical staff. They discovered that while the clinical care was excellent, the waiting experience and navigation through the facility were areas needing improvement.

With these insights, multidisciplinary teams engaged in ideation sessions, which led to the design of a patient-centric app. This app provided real-time updates on appointment timings, directional aid within the hospital, and educational content about their medical procedures.

Prototypes of the app were developed and tested with patients and staff, leading to refinements based on feedback. The final product was launched, significantly improving patient satisfaction scores and reducing perceived waiting times by 30%.

Conclusion

Design thinking is a powerful tool for organizations seeking to innovate and address complex challenges. By putting the user at the center of the process, organizations can create solutions that truly resonate with people’s needs. Whether it’s revolutionizing public transport in Singapore or enhancing patient care at the Mayo Clinic, the examples above illustrate the tangible impacts of this approach. As we move forward, the continued application of design thinking promises to unlock even greater potential in various sectors worldwide.

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

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

What will it take to create a national medical records system?

What will it take to create a national medical records system?

GUEST POST from Arlen Meyers, M.D.

Almost every person that has experienced the US sickcare system has been frustrated by the lack of data interoperability. We are all paying the costs, now pegged at $4.1T. About $1T of the tab is waste.

Here is the case for data interoperability.

Larry Ellison, the CEO of Oracle, is the latest person who says he wants his company to fix that.

Like those that preceded him, he will face:

  1. Stakeholders that don’t play nice with each other
  2. An enormous cost
  3. Trying to create a VAST business model
  4. Inconsistent technical standards
  5. Competition
  6. The lack of a national patient unique identifier system
  7. Privacy and confidentiality issues
  8. A highly regulated system for patients sharing their data
  9. End user resistance to dissemination and implementation
  10. Cybersecurity
  11. Connecting the kaleidoscope of the disparate elements of the US sickcare system of systems, like the VA, safety net hospitals, rural hospitals, academic centers and DOD facilities
  12. Combining financial data with clinical data
  13. Combining research data with clinical care data
  14. Varying levels of data maturity in the system
  15. Accessing data that is created outside of traditional medical service facilities
  16. The growth of retail sickcare and sicktech companies
  17. Harnessing data from the internet of medical things
  18. Integrating artificial intelligence to not only achieve the quintuple aim, but also create shareholder value that will conflict with one another
  19. Winning the “cloud wars”
  20. The lack of trust and growing sickcare technoskepticism
  21. The Cerner VA implentation FUBAR halo effects.
  22. Changing the EMR “SHIT” -single most hated information technology- to a whole product solution
  23. Accessing unstructured data on social media sites
  24. Governance of the enterprise
  25. Regulatory oversight of software as a medical device and digital therapeutics
  26. Low levels of sickcare professional and patient data literacy
  27. Barriers to international data sharing in a era of pandemics and required rapid response
  28. Fax facts
  29. Push back from patients who want to be paid for their data
  30. Decentralized clinical trial data issues
  31. DEI
  32. Leaderpreneurship skills
  33. UI/UX Will he eliminate passwords?

Wouldn’t it be nice if Sickcare USA, Inc. could provide you with the same experience as your bank ATM system?

Is Larry really the smartest person or just in the wrong room?

Image Credit: Pixabay

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