Category Archives: Healthcare

Top 100 Innovation and Transformation Articles of 2021

Top 100 Innovation and Transformation Articles of 2021

2021 marked the re-birth of my original Blogging Innovation blog as a new blog called Human-Centered Change and Innovation.

Many of you may know that Blogging Innovation grew into the world’s most popular global innovation community before being re-branded as InnovationExcellence.com and being ultimately sold to DisruptorLeague.com.

Thanks to an outpouring of support I’ve ignited the fuse of this new multiple author blog around the topics of human-centered change, innovation, transformation and design.

I feel blessed that the global innovation and change professional communities have responded with a growing roster of contributing authors and more than 15,000 newsletter subscribers.

To celebrate we’ve pulled together the Top 100 Innovation and Transformation Articles of 2021 from our archive of over 700 articles on these topics.

We do some other rankings too.

We just published the Top 40 Innovation Bloggers of 2021 and as the volume of this blog grows we may bring back a monthly ranking to complement this annual one.

But enough delay, here are the 100 most popular innovation and transformation posts of 2021.

Did your favorite make the cut?

1. All Leadership is Change Leadership – by Randy Pennington

2. Next Generation Loyalty – Part One – by Braden Kelley

3. Visual Project Charter™ – 35″ x 56″ (Poster Size) and JPG for Online Whiteboarding – by Braden Kelley

4. Where Do Innovation Strategies Usually Go Wrong? – by Jesse Nieminen

5. Black Friday Shows No Loyalty – by Braden Kelley

6. The Fail Fast Fallacy – by Rachel Audige

7. Top 40 Innovation Bloggers of 2020 – by Braden Kelley

8. What is Human-Centered Change? – by Braden Kelley

9. 10 Clever Ways to Stop Ideation Bullies from Hogging Your Brainstorming Sessions – by Howard Tiersky

10. 50 Cognitive Biases Reference – Free Download – by Braden Kelley

11. Free Customer Experience Maturity Assessment – by Braden Kelley

12. The Human-Centered Change Methodology – by Braden Kelley

13. Innovation vs. Invention vs. Creativity – by Braden Kelley

14. America Drops Out of the Ten Most Innovative Countries – by Braden Kelley

15. The One Movie All Electric Car Designers Should Watch – by Braden Kelley

16. Nine Innovation Roles – by Braden Kelley

17. No Regret Decisions: The First Steps of Leading through Hyper-Change – by Phil Buckley

18. Free Innovation Maturity Assessment – by Braden Kelley

19. Myths About Physician Entrepreneurs – by Arlen Meyers

20. Human-Centered Change – Free Tools – by Braden Kelley

21. The Five Keys to Successful Change – by Braden Kelley

22. Discipline Has a Role in Innovation – by Jesse Nieminen

23. Advances in the Management of Worthless Meeting Syndrome – by Arlen Meyers

24. 550 Quote Posters – by Braden Kelley

25. The Jobs-to-be-Done Playbook – by Braden Kelley

26. We Need a More Biological View of Technology – by Greg Satell

27. Free Human-Centered Change Tools – by Braden Kelley

28. Stoking Your Innovation Bonfire – by Braden Kelley

29. The Pyramid of Results, Motivation and Ability – by Braden Kelley

30. Experience Thinking – The Next Evolution for Design Thinking – by Anthony Mills


Build a common language of innovation on your team


31. Scaling Innovation – The What, Why, and How – by Jesse Nieminen

32. Charting Change – by Braden Kelley

33. The Experiment Canvas™ – 35″ x 56″ (Poster Size) – by Braden Kelley

34. To Change the World You Must First Learn Something About It – by Greg Satell

35. Digital Transformation Virtual Office Hours – Session One – by Braden Kelley

36. Lead Innovation, Don’t Manage It – by Arlen Meyers

37. Are doctors wasting their time on entrepreneurship? – by Arlen Meyers

38. What is design thinking? – EPISODE FIVE – Ask the Consultant – by Braden Kelley

39. Zoom Tutorial – Amazing New PowerPoint Background Feature – by Braden Kelley

40. COVID-19 Presents an Opportunity to Create an Innovation Culture – by Pete Foley

41. Increasing Organizational Agility – by Braden Kelley

42. Innovation Requires Going Fast, Slow and Meta – by Greg Satell

43. Remote Project Management – The Visual Project Charter™ – by Braden Kelley

44. Is innovation everyone’s job? – by Braden Kelley

45. What is your level of Innovation Maturity? – by Braden Kelley

46. Flaws in the Crawl Walk Run Methodology – by Braden Kelley

47. Innovation Teams Do Not Innovate – by Janet Sernack

48. We’re Disrupting People Instead of Industries Now – by Greg Satell

49. Don’t Forget to Innovate the Customer Experience – by Braden Kelley

50. Change Management Needs to Change – by Greg Satell


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51. Everyone hates to fail, why do you? – by Janet Sernack

52. Going with the Flow – by John Bessant

53. Can You Be TOO Strategic? – by Howard Tiersky

54. Competing in a New Era of Innovation – by Greg Satell

55. Fast Company is Wrong – by Braden Kelley

56. A New Age Of Innovation and Our Next Steps – by Greg Satell

57. Avoid the Addition Bias – by Paul Sloane

58. Visualizing Project Planning Success – by Braden Kelley

59. Innovation Ecosystems and Information Rheology – by Arlen Meyers

60. Rise of the Evangelist – by Braden Kelley

61. Creating 21st Century Transformational Learning – by Janet Sernack

62. Re-Skilling and Upskilling People & Teams – by Janet Sernack

63. Creating a Movement that Drives Transformational Change – by Braden Kelley

64. How to Scale Your Culture – by Arlen Meyers

65. A Trigger Strategy for Driving Radical, Transformational Change – by Greg Satell

66. Human-Centered Innovation Toolkit – by Braden Kelley

67. You Must Play and Experiment to Create and Innovate – by Janet Sernack

68. Managing Both the Present and the Future – by Janet Sernack

69. Why Change Failure Occurs – by Greg Satell

70. Developing a Future-Fitness Focus – by Janet Sernack

71. Using Intuition to Drive Innovation Success – by Braden Kelley

72. The Academic Intrapreneur Dossier – by Arlen Meyers

73. The Rise of Employee Relationship Management (ERM) – by Braden Kelley

74. An Example of Successful Alchemy – by John Bessant

75. The Dreaded Perfect Entrepreneur – by Arlen Meyers

76. Should intrapreneurs really ask for forgiveness and not permission? – by Arlen Meyers

77. Don’t Stop Thinking About Tomorrow – by Robert B. Tucker

78. Importance of Long-Term Innovation – by Greg Satell

79. Co-creating Future-fit Organizations – by Janet Sernack

80. What you should learn from the Google Health failure – by Arlen Meyers


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81. Teaching to Win the 4th Industrial Revolution – by Arlen Meyers

82. Catalysing Change Through Innovation Teams – by Janet Sernack

83. Innovation and the Scientific Method – by Jesse Nieminen

84. Being Too Focused on the Test is Dangerous – by Arlen Meyers

85. Architecting the Organization for Change – by Braden Kelley

86. Healthcare Jugaad Innovation of a 17-Year-Old – by Braden Kelley

87. New Capability Mapping Tools for Business Architects – by Braden Kelley

88. How can I create continuous innovation in my organization? – EPISODE TWO – Ask the Consultant – by Braden Kelley

89. Thank You for Your Thinkers50 Nominations – by Braden Kelley

90. Preparing for Organizational Transformation in a Post-COVID World – by Greg Satell

91. Why Change is Hard – by Braden Kelley

92. Building a Better Change Communication Plan – by Braden Kelley

93. What is digital transformation? – EPISODE THREE – Ask the Consultant – by Braden Kelley

94. ACMP Standard for Change Management® Visualization – 35″ x 56″ (Poster Size) – Association of Change Management Professionals – by Braden Kelley

95. Borrow an Idea from a Different Field – by Paul Sloane

96. How to Go From Nail It to Scale It – by Arlen Meyers

97. Innovation in the time of Covid – Satisfycing Organizations – by Pete Foley

98. Sickcare Culture of Conformity versus a Culture of Creativity – by Arlen Meyers

99. Start 2021 with a Free Innovation Audit (Now in Portuguese or English) – by Braden Kelley

100. Outsmarting Those Who Want to Kill Change – by Greg Satell

Curious which article just missed the cut? Well, here it is just for fun:

101. Why so much medical technoskepticism? – by Arlen Meyers

These are the Top 100 innovation and transformation articles of 2021 based on the number of page views. If your favorite Human-Centered Change & Innovation article didn’t make the cut, then send a tweet to @innovate and maybe we’ll consider doing a People’s Choice List for 2021.

If you’re not familiar with Human-Centered Change & Innovation, we publish 1-5 new articles every week focused on human-centered change, innovation, transformation and design insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook feed or on Twitter or LinkedIn too!

Editor’s Note: Human-Centered Change & Innovation is open to contributions from any and all the innovation & transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have a valuable insight to share with everyone for the greater good. If you’d like to contribute, contact us.

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Why So Much Innoflation?

Why So Much Innoflation?

GUEST POST from Arlen Meyers

Inflation is all over the news and at your kitchen table. In case you cut all those economics classes, inflation happens when too much money chases too few goods. It’s happening now because of COVID variations in consumer demand, government stimulus, some fed actions and supply chain glitches. Who knew? The Goldilocks economy describes when prices are not too high, but not too low. Instead, they are just right to stimulate the growth of the economy and the standard of living.

In the midst of all this, we have been seeing a simultaneous rise in sickcare innoflation (i.e. too many overfunded startups and companies creating too few valuable products and services that don’t scale). What’s the answer?

  1. Rethink hospital-based care innovation centers
  2. Create more scalerators and euthanators instead of accelerators
  3. Involve healthcare professionals with the appropriate knowledge, skills, abilities and competencies with an entrepreneurial mindset early in the startup and product development lifecycle.
  4. Change the rules and regulations
  5. Build better ecosystems
  6. Change medical education and training
  7. Fix how we disseminate and implement sickcare solutions and make them equitably accessible.
  8. Close innovation silos
  9. Teach physician entrepreneurs how to play nice with others
  10. Change how we recruit, develop and promote sick care system of system leaders

Building back better will just get us to where we used to be. Instead, we need to create the future better to get us where we want to go. Not too much. Not too little. Just right.

Image credit: Pixabay

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Sickcare Culture of Conformity versus a Culture of Creativity

Sickcare Culture of Conformity versus a Culture of Creativity

GUEST POST from Arlen Meyers

Sickcare is a culture of conformity and competition. Premeds know it. Medical students and residents learn it. But, once they graduate, they are told they will be paid for value. Unfortunately, few will teach them how to do it and reconcile the culture of conformity and competition with an innovative culture of creativity, collaboration and interprofessional communication.

We should be thankful that we are starting to see some cracks in the armor.

Here are some ways to balance the two mindsets:

  1. Start with higher education reform  To prepare students for a post-Covid future, colleges and universities need to double down on preparing them for digital jobs. But even teaching platform skills aren’t enough. Few employers are interested in hiring candidates who’ve just completed a training program, they’re looking for relevant work experience. The good news is that there are two promising models for colleges to go beyond the traditional career services function to provide students with relevant digital training and work experience.
  2. Overcome the fallacies about creativity. To avoid premature closure, teams should arrive at an “almost final” decision and then intentionally delay action in favor of additional incubation time. During this time, everyone should commit to thinking about the problem and sharing their ideas. If the team can’t find a better approach during the incubation period, they should proceed with their original solution. Leaders can improve group creativity by paying close attention to how ideas are discussed in diverse group settings. They should encourage team members to build on each other’s ideas instead of pushing individual ideas. This doesn’t mean that ideas should be accepted blindly when they contain flaws; instead, they should approach ideas with an open mind to acknowledge useful aspects and improve weaknesses using plussing or the similar “yes, but, and” approach. To promote more creative ideas, leaders should utilize simple tools to capture individual ideas before they are opened to the whole group. Group discussions should be conducted asynchronously, where team members look at each other’s ideas and use them to refine and create new ideas. If done remotely, leaders should find other ways to bring the team together to bond and build trust with each other
  3. Teach creativity and entrepreneurship in medical school and residencies. Here is something so you don’t have to do reinvent the wheel.
  4. Rethink how we recruit and accept medical students Medical education is not alone, as noted in a recent HBR article describing how Goldman Sachs changed how they recruited new hires. Perhaps it is time for medical schools to adopt three new ways of recruiting and accepting medical students.
  5. Give medical students the opportunity to get experience working in a more creative culture as part of an internship or rotation.

6.Train the trainers. Provide faculty with the knowledge, skills, abilties and competencies they need to integrate creativity, innovation and entrepreneurship as part of their basic science and clinical rotations. But, what should an introduction to entrepreneurship teaching and learning include for basic science and clinical faculty who do not have innovation and entrepreneurship domain expertise include?

The learning objective of the module should be to know how to integrate healthcare innovation and entrepreneurship topics into basic science courses and clinical rotations by challenging students with case based, problem based and project based learning in real world settings and applications to help them perfect sickcare entrepreneurial knowledge, skills, attitudes and competencies.

7. Let medical students and residents take a gap year to learn how to create and sell something. Over half of medical schools already have an arrangement whereby students can take a one year leave of absence. But they call it something other than a gap year. They call it getting an MBA. Or, offer them a fellowship in entrepreneurship and innovation.

8. Close the doctor-data scientist digital divide to create a more cooperative culture of data analytics creativity.

9. Hire leaderpreneurs to become department chairs and deans. Rethink the triple threat.

10. Give medical students and residents an exit ramp. The next phase of medical school education reform is in progress. One question medical educators and Deans will have to address is, “What business are we in?” Are you in the business of graduating doctors who will only take care of patients directly, or, are you in the business of creating opportunities for graduates to pursue biomedical careers of their choice, including non-clinical careers that do not involve seeing patients face to face for a significant part of their working life? Patients are not the only stakeholders that have a dog in the sickcare hunt.

11. Teach philanthropreneurship Philanthropreneurship has four elements. First, the driving force must be a passion to make life better for others, especially those who are underprivileged. Second, there has to be an element of giving, whether this is in terms of money or time. Third, there needs to be creativity, the envisioning of novel approaches to solving problems. And finally, philanthropreneurship requires leadership and strategic thinking– directing, organizing, and influencing the efforts of others.

12. Destroy your innovation silos Sick care badly needs innovation if it is to become healthcare . Yet, it’s questionable whether it can be fixed from inside. Despite the popularity of open innovation and community based, participatory innovation networks, healthcare organizations and doctors seem to shun outside ideas and collaboration and are perceived as arrogant know-it-alls, stuck in the ivory tower or healthcare city , when it comes to knowing what’s best for patients. They have a silo mindset that blocks collaboration with other stakeholders in the innovation supply chain. The challenge for most organizations is to create and engage stakeholders.

Innovation starts with mindset. The clinical mindset is different from the entrepreneurial mindset and the ethics of medicine are different from the ethics of business. We need to give experience, educate and train doctors who can reconcile the two. Thankfully, it is starting to happen and it will make better doctors.

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Are doctors wasting their time on entrepreneurship?

Are doctors wasting their time on entrepreneurship?

GUEST POST from Arlen Meyers

Medical students, residents and practitioners around the world are getting more and more interested in entrepreneurship for many reasons. With that, some are questioning the wisdom of doctors bothering themselves with “the business of medicine” , innovation and entrepreneurship given how difficult it is for most doctors to maintain state of the art medical skills, cope with a constantly challenging regulatory environment and keep up with the explosion of medical knowledge. One fundamental question that challenges every doctor is how to reconcile the ethics of medicine with the ethics of business where they practice.

The idea that we are living in an entrepreneurial age, experiencing rapid disruptive technological innovation on a scale amounting to a new “industrial revolution” is a pervasive modern myth. Scholars have written academic papers extolling the coming of the “entrepreneurial economy”. Policymakers and investors have pumped massive amounts of funding into start-up ecosystems and innovation. Business schools, universities and schools have moved entrepreneurship into their core curricula.

The only problem is that the West’s golden entrepreneurial and innovation age is behind it. Since the 1980s entrepreneurship, innovation and, more generally, business dynamics, have been steadily declining—particularly so in the US. As economist Tyler Cowen has found: “These days Americans are less likely to switch jobs, less likely to move around the country, and, on a given day, less likely to go outside the house at all […] the economy is more ossified, more controlled, and growing at lower rates.”

For all the entrepreneurship cheerleading of the last 15 years, the Great Recession accelerated an already alarming decline in new business formation in this country. In the United States, our rates of entrepreneurship have been declining for decades, and those new firms that have been created are employing fewer and fewer people. Meanwhile, techno-oligopolies continue to increase.

After remaining remarkably consistent for decades, the number of new businesses launched in the United States peaked in 2006 and then began a precipitous decline – a decline accelerated by the Great Recession. From 2002 to 2006, the economy produced an average of 524,000 new employer firms each year. Since 2009, however, the number of new business launched annually has dropped to about 400,000, meaning the United States currently faces a startup deficit of 100,000 new firms every year – and a million missing startups since 2009.

COVID has had a significant impact on entrepreneurship. Here is another take on the effect of COVID on entrepreneurship. But, entrepreneurship by necessity has its dark side.

Research suggests that over the past two decades, the number of high-value startups has declined, sparking significant debate over what’s causing the drop, how to fix it, and whether or not it’s a problem that needs fixing. Here are six reasons why that might be true:

  • Theory 1: Entrepreneurs are motivated more by the lifestyle than by viable business ideas
  • Theory 2: Tougher regulation is hurting high-growth companies
  • Theory 3: Big businesses have changed the way they operate
  • Theory 4: Entrepreneurs lack the right training
  • Theory 5: The gig economy is affecting would-be entrepreneurs’ experience
  • Theory 6: The problem is a measurement issue

Here is the tale of the tape:

  • In 1980, 15% of all U.S. firms had been created the year before. In 2011, that share had been halved, according to census data.
  • In 1997, for the first time in this country’s history, more Americans worked at companies with 250 or more employees. The gap has steadily grown since, aside from a notable blip in the early 2000s. The biggest single percentage increase was between 2007 and 2008, as the Great Recession took hold.
  • Three-quarters of U.S. incorporations that we do have issue no payroll, mostly for the self-employed.
  • Though our outsized venture capital market means we have a high share of iconic, rocket-ship growth companies, the United States is lagging other rich country peers in the crucial middle category: new, growing, innovative companies trying to bring efficiencies to industries that may last.

Part of the problem derives from some misconceptions and differences in our interpretations of physician entrepreneurship:

  1. Each doctor has his or her definition of physician entrepreneurship, value and innovation
  2. Physician entrepreneurs play many different roles creating user defined value
  3. Those roles depend on whether they are medical practice entrepreneurs, social entrepreneurs, technopreneurs, intrapreneurs, educational entrepreneurs, physician service providers or investors
  4. Innovation ecosystems vary from one domain e.g. digital health to another, like biopharma
  5. There are vast international cultural, social and political systems differences that help or hinder physician entrepreneurship.
  6. Rules drive ecosystems. Rules variation around the world often reflects the values of a given citizenry at a given point in time. While health system problems are universal (cost, access, quality, changing demographics, supply, demand, equity), the solutions vary tremendously.
  7. Creating value and wealth is but one step. Sharing the wealth that results, justice and equity are separate issues that can either raise the overall standard of a health system in a given country or drive another wedge between the haves and have nots. It also determines how physician entrepreneurs are perceived as either ruthless, greedy profiteers or instruments of social justice and improvement.
  8. The gaps between how younger generations and older rulers see the world are widening (e.g China and somewhat reflected by Sanders supporters in the US elections) The “dream” constantly evolves from financial security to higher levels of needs like democracy, international connectedness and security and a better life for families and children.
  9. Regardless of which way physicians choose to pursue entrepreneurship, it takes teamwork and the involvement of many different participants with varying skill sets. Each contributes something different.
  10. Biomedical entrepreneurship is a marathon relay race. As such, any team is only as strong as its weakest link.
  11. Few health professionals have an entrepreneurial mindset, in large part because of how they are chosen and the lack of bioentrepreneurial education and training in their programs.
  12. Politics, ego and greed get in the way of substantive change in the US sickcare system of systems.

Judging by the headlines on their LinkedIn profile, more and more MD/DOs are innovators, entrepreneurs and non-clinical consultants. Many are starting or working with biomedical and clinical startups, including a group of medical school graduates who don’t do a residency. But:

  1. They are not trained to do so
  2. Entrepreneurship in the US has been in a downward spiral in the US for the past 40 years.
  3. Most startups will fail
  4. Most startups don’t have money to pay people
  5. There is an innovation bubble.
  6. Job security is low
  7. You have to deal with people who have entrepreneurial psychopathologies are simply untrustworthy.
  8. Students loan burdens are rising
  9. Many are not in it for the long run
  10. There are unrealistic expectations on both the consultant/employee and employer side.
  11. Most MD/MBA programs should be terminated
  12. Innovation theater is pervasive.

If you thought getting a side gig or pursuing a non-clinical career was Plan B but now realize the grass really isn’t that much greener, maybe it’s time for Plan C.

The underlying assumption behind creating incentives for early involvement of physicians in entrepreneurship is that it will improve outcomes and company success. However, we lack the data that validates that assumption.

Doctors are wasting their time typing into EMRs, complying with administrivia, being on hold to get prior authorization, and answering unnecessary phone calls from patients that could be avoided with proper engagement and education. If anything, they are not spending enough time creating user defined value through the deployment of innovation.

At its core, though, we need to change the rules about measuring quality, clearing products, paying to things, providing equitable access and insurance coverage, and eliminating waste and administrivia cost, and narrowing inequitable value sharing. Otherwise, we are just parading shiny new objects.

We need to fix sickcare USA before we decide how or whether we change how we fund it. Otherwise, we will be just wasting more and more money.

We need to do a better job of measuring the input, output and impact of physician entrepreneurship including not just creating new companies, but interventions in medical practice entrepreneurship, social entrepreneurship, intrapreneurship, edupreneurship and other non-commercial roles as well.

International biomedical entrepreneurship will continue to grow With that, however, will be more challenges to use the results to make patients, systems and societies better. By doing good, physician entrepreneurs can do well, but there are formidable headwinds preventing them from doing so. Unless we have evidence to the contrary, the null hypothesis is physician entrepreneurship is a waste and , in retrospect, just sounded like a good idea at the time. I hope the results prove me wrong.

Image credit: Pixabay

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The Adoption of Robotics and Automation in Healthcare Industry

The Adoption of Robotics and Automation in Healthcare Industry

GUEST POST from Art Inteligencia

In recent years, the healthcare industry has seen a rapid increase in the adoption of robotics and automation technologies. These advanced technologies have the potential to revolutionize the way healthcare services are delivered, offering improved efficiency, accuracy, and patient outcomes. From surgical robots to automated medication dispensing systems, the possibilities for robotics and automation in healthcare are vast and exciting.

One prominent example of the adoption of robotics in healthcare is the da Vinci Surgical System. This cutting-edge robotic surgery system has been used in thousands of procedures worldwide, offering surgeons enhanced precision and control during minimally invasive surgeries. Studies have shown that surgeries performed using the da Vinci system result in faster recovery times, reduced pain, and improved outcomes for patients. This technology has not only improved patient care but has also revolutionized the way surgeons approach complex procedures.

Automated Medication Dispensing Systems

Another example of the adoption of automation in healthcare is the use of automated medication dispensing systems in hospitals and pharmacies. These systems use robotics to accurately dispense medications to patients, reducing the risk of medication errors and improving overall patient safety. By automating the medication dispensing process, healthcare facilities can streamline operations, reduce costs, and ensure that patients receive the correct medications in a timely manner.

The adoption of robotics and automation in healthcare is not without challenges. Healthcare providers must navigate regulatory hurdles, address concerns about job displacement, and ensure that new technologies are integrated seamlessly into existing workflows. However, the potential benefits of these technologies are too great to ignore. By embracing robotics and automation, healthcare providers can improve patient outcomes, enhance efficiency, and revolutionize the delivery of healthcare services.

Conclusion

The adoption of robotics and automation in the healthcare industry holds great promise for the future of patient care. From surgical robots to automated medication dispensing systems, these technologies have the power to transform the way healthcare services are delivered. By learning from successful case studies such as the da Vinci Surgical System and automated medication dispensing systems, healthcare providers can harness the potential of robotics and automation to improve outcomes and enhance patient care. The future of healthcare is bright, and robotics and automation are leading the way.

Bottom line: 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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Big Data Analytics in Healthcare

Unlocking Insights for Better Patient Outcomes

Big Data Analytics in Healthcare: Unlocking Insights for Better Patient Outcomes

GUEST POST from Art Inteligencia

In today’s technologically driven world, data plays a crucial role in almost every sector, and healthcare is no exception. With the rise of electronic health records and wearable devices, the healthcare industry has access to a vast amount of patient data. Big data analytics in healthcare is revolutionizing the way patient care is delivered by unlocking valuable insights that can lead to better outcomes.

One of the key areas where big data analytics is making a significant impact is in personalized medicine. By analyzing large datasets of patient information, healthcare providers can tailor treatment plans to individual patients based on their unique characteristics and medical history. This allows for more targeted and effective treatments, ultimately leading to better outcomes for patients.

Case Study 1: Mayo Clinic

A notable case study showcasing the benefits of big data analytics in personalized medicine is the work being done by the Mayo Clinic. By leveraging advanced analytics tools, the Mayo Clinic has been able to identify patterns in patient data to predict disease progression and customize treatment plans. This approach has resulted in improved patient outcomes and reduced healthcare costs, highlighting the potential of big data analytics to transform the healthcare landscape.

Another area where big data analytics is making a difference in healthcare is in population health management. By analyzing data from large groups of patients, healthcare providers can identify trends and patterns that can help improve overall health outcomes for entire communities. This proactive approach allows for early intervention and targeted interventions to prevent the onset of chronic diseases and improve population health.

Case Study 2: Pittsburgh Medical Center (UPMC)

An excellent example of the success of population health management through big data analytics is the partnership between the University of Pittsburgh Medical Center (UPMC) and IBM Watson Health. By combining UPMC’s wealth of patient data with IBM’s advanced analytics capabilities, the organizations have been able to develop predictive models that identify patients at risk for various health conditions and tailor interventions to prevent or manage these conditions effectively. This partnership has led to better health outcomes for patients and reduced healthcare costs, demonstrating the power of big data analytics in improving population health.

Conclusion

Big data analytics in healthcare is transforming the way patient care is delivered by unlocking valuable insights that lead to better outcomes. By leveraging advanced analytics tools, healthcare providers can personalize treatment plans, improve population health, and ultimately enhance the overall quality of care. The success stories of organizations like the Mayo Clinic and UPMC demonstrate the potential of big data analytics to revolutionize healthcare and improve patient outcomes. By embracing this technology and incorporating it into everyday practice, healthcare providers can truly unlock the full potential of big data analytics and provide better care for patients.

Bottom line: 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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Augmented Reality and Healthcare

Improving Patient Experiences

Augmented Reality and Healthcare: Improving Patient Experiences

GUEST POST from Art Inteligencia

In recent years, the use of augmented reality (AR) technology has been steadily gaining momentum across various industries. One field where AR has shown significant potential is healthcare, particularly in improving patient experiences. By overlaying digital information onto the physical world, AR has the power to revolutionize the way healthcare providers deliver care and interact with patients.

Case Study 1: Surgical Navigation

One of the most promising applications of AR technology in healthcare is surgical navigation. Traditional surgical procedures often require doctors to rely on 2D images to guide their actions, which can be imprecise and time-consuming. By using AR, surgeons can now visualize 3D representations of a patient’s anatomy in real-time during surgery, allowing for more accurate procedures and shorter recovery times.

For example, the Cleveland Clinic has successfully implemented AR technology in their neurosurgery department to assist with complex brain surgeries. By using AR headsets, surgeons are able to see virtual 3D models of a patient’s brain overlaid onto their field of view, allowing for more precise navigation and minimally invasive procedures. This has led to improved patient outcomes, reduced complications, and shorter hospital stays.

Case Study 2: Pain Management

Another area where AR is making a significant impact in healthcare is in pain management. Chronic pain is a widespread issue that affects millions of people worldwide, often leading to decreased quality of life and reliance on medications. AR technology offers a non-invasive and drug-free alternative for managing pain through distraction therapy.

For instance, Cedars-Sinai Medical Center in Los Angeles has implemented AR technology to help pediatric patients cope with painful procedures such as injections or blood draws. By immersing patients in interactive virtual environments through AR headsets, healthcare providers are able to distract patients from the pain and anxiety associated with medical procedures. This has not only reduced the need for sedation and pain medication but also improved patient satisfaction and compliance with treatments.

Conclusion

Augmented reality technology has the potential to transform the healthcare industry by enhancing patient experiences and outcomes. From surgical navigation to pain management, AR offers innovative solutions to some of the most pressing challenges in healthcare today. As the technology continues to evolve, we can expect to see even more groundbreaking applications that will revolutionize the way we deliver care and improve the lives of patients around the world.

Bottom line: 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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Blockchain and Innovation

Beyond Cryptocurrency

Blockchain and Innovation - Beyond Cryptocurrency

GUEST POST from Chateau G Pato

Blockchain technology, most commonly associated with cryptocurrencies like Bitcoin, has far-reaching applications that extend beyond the realm of digital currencies. As a human-centered change and innovation thought leader, I will explore how blockchain technology is redefining various industries, driving efficiency, transparency, and trust. In this article, we will examine two case studies that showcase the transformative potential of blockchain: Supply Chain Management and Healthcare.

Case Study 1: Transforming Supply Chain Management

In the intricate world of supply chain management, where product authenticity, tracking, and operational efficiency are paramount, blockchain technology has emerged as a game-changer. By creating an immutable and transparent digital ledger, blockchain provides end-to-end visibility and traceability, revolutionizing how supply chains operate.

Example: Walmart and IBM’s Food Trust Blockchain Platform

Walmart, in collaboration with IBM, has implemented a blockchain-based platform called Food Trust to enhance food safety and traceability. The traditional system of tracking produce and other products through paper-based or siloed digital records was time-consuming and prone to errors. With blockchain, all stakeholders, including farmers, processors, distributors, and retailers, have access to a unified and tamper-proof record of information.

In one notable instance, the time taken to trace the source of mangoes in Walmart’s supply chain was reduced from seven days to merely 2.2 seconds. This significant improvement not only enhances food safety by swiftly identifying contamination sources but also builds consumer trust by providing transparent product information.

Case Study 2: Revolutionizing Healthcare

Healthcare systems worldwide grapple with issues of data security, patient privacy, and interoperability. Blockchain technology addresses these challenges by offering a decentralized platform for securely managing and sharing medical data.

Example: MedRec—Patient-Centric Health Records

MedRec, an MIT-affiliated project, is leveraging blockchain to create a patient-centric electronic health record (EHR) system. Traditional EHR systems are often fragmented and controlled by various entities, leading to inefficiencies and limiting patient access to their own health records. MedRec uses blockchain to aggregate medical data from multiple sources into a single, decentralized ledger that is accessible to patients and authorized healthcare providers.

This approach enhances data interoperability, reduces administrative burdens, and, most importantly, empowers patients by granting them complete control over their own health records. The blockchain ensures that all health data is secure, tamper-proof, and easily transferable among different providers, furthering seamless continuity of care.

Conclusion

Blockchain technology’s potential extends well beyond cryptocurrencies, offering groundbreaking solutions to complex challenges in various industries. The case studies of Walmart’s Food Trust and MedRec demonstrate how blockchain can drive innovation, enhance transparency, and build trust in supply chain management and healthcare. As we continue to explore and harness the power of blockchain, it is evident that this technology will play a crucial role in shaping the future of numerous fields, propelling us towards a more efficient and trustworthy world.

SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.

Image credit: Pixabay

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Being Too Focused on the Test is Dangerous

Being Too Focused on the Test is Dangerous

GUEST POST from Arlen Meyers

Like most premeds, I got into medical school, mostly, because I am good at taking standardized tests, I can memorize lots of information , I had some cultural and economic advantages and I knew what to say to interviewers who did not know how to interview. It certainly was not about my being creative or imaginative.

Fortunately, for this generation, that is gradually changing.

As more and more medical educators try to reform the structure, process , goals, learning objectives and outcomes of medical undergraduate and post-graduate education, they run into some recurring questions:

  1. How do we find the right people to teach new subjects?
  2. How do we find the time to teach all of this new information when we are already constrained by the explosive growth of new basic science and clinical information?
  3. How do we make sure that our students and residents pass the tests required to graduate and get board certified so that they can practice and so that the education and training programs get accredited? In other words, how do we practice educational ambidexterity
  4. Should we change how and who we admit?
  5. How do we bridge the now, with the next with the new?

The latest trend in management theory is what’s called organizational ambidexterity. It’s the social scientists take on being a switch hitter, and is defined as an organization’s ability to be aligned and efficient in its management of today’s business demands while simultaneously being adaptive to changes in the environment. In other words, being able to simultaneously lead the now, the new and the next. Some describe it as bimodal people management.

While some are very vocal about eliminating standardized tests, it is unlikely they will be eliminated. The rate of growth of scientific and clinical information will increase. New faculty develoment is always a challenge. So, what are some answers?

  1. Faculty development programs that are people-centric and expand their knowledge, skills, abilities and competencies about introducing and integrating new subjects into their existing subject matter expertise. Engage the champions, build innovation teams around them, set the standards and goals then get out of their way. Identify the skeptics and either convert them or just let them do what they do best now. Sabateurs should be quickly exposed and “rehabilitated”.
  2. Recruit, develop, promote and reward for skills, like innovation, entrepreneurship , data analytics and artificial intelligence
  3. Create interdisciplinary and cross functional teaching teams
  4. Encourage industry collaboration
  5. Decrease, don’t increase, lecture time and give students the flexibility to learn when and how they do it best.
  6. Focus on competencies, while at the same time making it clear to students what they will be tested on to practice medicine
  7. Reform the standardized test and maintenance of certification process
  8. In the age of search, teach students how to learn, not what to memorize. Take advantage of how students learn, not how you think they learn.
  9. Accelerate up the hierarchy of learning from recall to interpretation to problem solving to creativity
  10. Take small steps in integrating the new subjects into the traditional four year/three year curriculum
  11. Test new ideas and incorporate the results into the next iteration
  12. Encourage students to be prosumers (producer/consumers) and help you build the product
  13. Rethink how and who you admit to medical school. In one recently opened school, 75% of the first year class have engineering or computer science degrees.
  14. Integrate and continue to build medical school education with post-graduate education and training
  15. Change and define GME required competencies and accreditation standards to meet contemporary needs.

Here are themes/motifs that are becoming part and parcel of the practice of medicine and are incrementally being intergrated into the medical school curriculum:

Some new schools are leapfrogging the old ways and launching entirely new curriculum maps from the start.

We should strive for educational ambidexterity and evolve from teaching and learning to the test and forgetting about all the rest.

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How to Scale Your Culture

How to Scale Your Culture

GUEST POST from Arlen Meyers

Facebook, Apple, BoeingMcDonald’s and Starbucks are not the only high profile companies that have lost their way as they just got bigger and bigger. Experts and pundits will offer many reasons, some organizational and some more personal about the CEO and the leadership team. Just read the transcripts and review the videos of Congressional hearings about companies breaking bad as they are conducted, seemingly, on a more regular basis. Or, you can see the highlight reel on 60 Minutes or YouTube.

Most would agree, though, that a main cause of a company loosing its bearings during explosive growth is a loss of culture. The term “company culture” is something of a nebulous concept, but most culture professionals can agree on the very basics of a definition. In short, company culture is defined as a shared set of values, goals, attitudes and practices that make up an organization. How an organization goes about crafting its own culture is totally up to them .

In other words, culture is mostly about “how we do things around here”.

The US “healthcare” system is actually a dysfunctional sickcare system of systems masquerading as a healthcare system that includes academic medical centers, community hospitals, government hospitals and other health service organizations. Recent entrants include retailers, online vendors and pharmaceutical companies.

I have worked in many of these kinds of organizations. They all have a unique culture. Working in a VA hospital is much different than working in a for profit community integrated delivery network. In fact, one of the main causes of failed mergers, acquisitions or hospital consolidations is “cultural mismatch”.

The average tenure of a hospital CEO is 5.6 years with a median of 3.6 years. Very few (3.4%) had continuous tenure of 20+ years. Half (51%) had previously been a CEO at another hospital. First-time CEOs were often (57%) promoted from within their organizations.

So, how do you scale culture when the music stops for one CEO and starts for another as consolidation relentlessly surges forward?

Here is an anthology of culture continuity hacks:

  1. Forbes
  2. Harvard Business Review
  3. Bob
  4. 15five
  5. Inc
  6. What about scaling culture during the pandemic?

Some have observed that company culture is a reflection of the founder or leader. But, once the founder goes, pong, pool and picnics will only get you so far. Instead, many will get lost in the wilderness next to where you are holding your koombaya event including your investors and bankers.

I once worked with a Dean who remarked, “The problem is that we have no soul”

Rounding up stakeholders and getting them back to base camp is not something you will learn in scaling school ,medical school or your health adminstration degree program. 

Not learning how to scale culture, however, is career suicide.

Image credit: Pixabay

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