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How Big Data Will Unlock the Potential of Healthcare

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Navigating Transformative Forces in HealthcareHow Big Data Will Unlock the Potential of HealthcareHow Tech is Changing How Healthcare Must Communicate With PatientsThe Amazonification of HealthcareHow Artificial Intelligence is Transforming Clinical Trial RecruitmentEHR as a GPS for HealthcareMillennial Doctors Transforming Medicine

How Big Data Will Unlock the Potential of Healthcare

How Big Data Will Unlock the Potential of Healthcare

Data is driving the future of business, and any company not prepared for this transformation is at risk of being left behind.

This is a reality in almost every sector, but it’s especially relevant to companies in the healthcare industry. That’s because the amount of health data being created is growing at a 48% rate annually, and by 2020, a Stanford University study estimates that 2,314 exabytes of healthcare data will be produced per year.

Simply put, the companies that can extract meaningful insights from these mountains of data will have a serious and durable competitive advantage – and those that don’t have a proper strategy for this boom in data will get lost in the weeds.

Breaking Down Big Data

Today’s infographic comes to us from Publicis Health, and it shows why big data is one of the six forces transforming the life sciences and pharmaceuticals industries.

Big data in healthcare spans four different dimensions:

Volume
The sheer amount of data created can be processed and interpreted by AI.

Veracity
Noise, abnormality, and biases can undermine trust and accuracy of data. Data assurance can help guarantee analytics are credible and error-free.

Velocity
Healthcare is time sensitive, and being able to process large amounts of data in real-time is crucial.

Variety
Big data comes from a myriad of sources, such as social media or IoT devices. Actionable insights can be gained from analyzing different data sources together.

Healthcare businesses must learn to quickly distill information from masses of data and to transform them into actionable insights. The ability to extract these insights will power the future of health, and become a differentiator for companies to thrive and stay ahead of emerging competitors.

Analytical Nirvana

How can companies reach “analytical nirvana”, a state where analytics can be used for strategic differentiation?

Companies must move towards being more service-focused, by transforming data into compelling stories that bridge the gap between customer engagement and action.

Further, this change must be powered by predictive health intelligence that can interpret data to create more personalized experiences for customers. Finally, data must be democratized throughout an organization, so that even non-analysts can deploy gained insights to achieve these other goals.

This journey may seem like a daunting task, but companies that successfully navigate this transformation will gain an edge that will continue to grow in importance in the digital era.

This is part two of a seven part series. Stay tuned by subscribing to Visual Capitalist for free, as we go into these six forces in more detail in the future.

Navigating Transformative Forces in HealthcareHow Big Data Will Unlock the Potential of HealthcareHow Tech is Changing How Healthcare Must Communicate With PatientsThe Amazonification of HealthcareHow Artificial Intelligence is Transforming Clinical Trial RecruitmentEHR as a GPS for HealthcareMillennial Doctors Transforming Medicine

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Charted: The Gen Z Unemployment Rate, Compared to Older Generations

COVID-19 has impacted everyone, but one generation is taking it harder than the others. This graphic reveals the Gen Z unemployment rate.

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gen z unemployment

Putting the Gen Z Unemployment Rate in Perspective

There are more than 2 billion people in the Generation Z age range globally. These individuals, born between 1997 and 2009, represent about 30% of the total global population—and it’s predicted that by 2025, Gen Z will make up about 27% of the workforce.

Due to the global pandemic, unemployment has been on the rise across the board—but Gen Z has been hit the hardest. This chart, using data from the OECD, displays the difference between the unemployment rate for Gen Zers and the rate for older generations.

Note: The OECD defines the ‘unemployed’ as people of legal working age who don’t have work, are available to work, and have taken steps to find a job. The final figure is the number of unemployed people as a share of the total labor force.

The Generation Gap: Gen Z Unemployment

Compared to their older working-age counterparts, Baby Boomers, Gen X, and Millennials (Gen Y)—the most recent 2020 data shows that Gen Z has an unemployment rate of nearly 2x more in almost every OECD country.

CountryUnemployment Rate (Gen Z)Unemployment Rate (Millennial, Gen X, Boomer)
🇦🇺 Australia14.3%5.0%
🇦🇹 Austria10.5%4.7%
🇧🇪 Belgium15.3%4.8%
🇨🇦 Canada20.0%7.9%
🇨🇱 Chile24.8%9.6%
🇨🇴 Colombia27.5%13.9%
🇨🇿 Czech Republic8.0%2.3%
🇩🇰 Denmark11.5%4.7%
🇪🇪 Estonia17.7%5.9%
🇫🇮 Finland21.0%6.0%
🇫🇷 France20.1%6.8%
🇩🇪 Germany6.2%4.0%
🇭🇺 Hungary12.4%3.5%
🇮🇸 Iceland11.9%5.5%
🇮🇪 Ireland15.2%4.4%
🇮🇱 Israel7.9%3.7%
🇮🇹 Italy29.1%-
🇯🇵 Japan4.5%2.6%
🇰🇷 South Korea10.5%3.6%
🇱🇻 Latvia14.8%7.7%
🇱🇹 Lithuania19.5%7.7%
🇱🇺 Luxembourg22.4%5.6%
🇲🇽 Mexico8.0%3.8%
🇳🇱 Netherlands9.1%2.8%
🇳🇿 New Zealand12.4%3.3%
🇵🇱 Poland10.9%2.6%
🇵🇹 Portugal22.9%5.9%
🇸🇰 Slovakia19.3%6.0%
🇸🇮 Slovenia14.2%4.3%
🇪🇸 Spain38.3%14.0%
🇸🇪 Sweden23.8%6.4%
🇨🇭 Switzerland8.6%4.3%
🇬🇧 United Kingdom13.5%3.2%
🇺🇸 United States15.1%7.1%

Note: For the purposes of this article, we are only considering the Gen Zers of legal working age—those born 1997-2006. The rest—Baby Boomers, Gen X, and Millennials—are those born between 1946–1996.

The timing for the youngest working generation could not be worse. Gen Z is just beginning to graduate college and high school, and are beginning to search for work and careers.

Gen Z is also an age group that is overrepresented in service industries like restaurants and travel–industries that were equally hard hit by the pandemic. In the U.S., for example, around 25% of young people work in the hospitality and leisure sectors. Between February and May 2020 alone, employment in these sectors decreased by 41%.

Countries like Spain are facing some of the biggest headwinds among OECD countries. The country already has a high unemployment rate for those aged 25-74, at 14%. But the unemployment rate for Gen Z is more than double that, at over 38%.

Implications For the Future

While it may be true throughout history that this age group is often less employed than older cohorts, the share of labor held by those aged 15-24 dropped significantly in 2020.

labor share gen z

Note: This chart represents the data from G7 countries.

In terms of their future employment prospects, some economists are anticipating what they call ‘scarring’. Due to longer periods of unemployment, Gen Z will miss out on formative years gaining experience and training. This may impact them later in life, as their ability to climb the career ladder will be affected.

Starting out slower can also hit earnings. One study found that long periods of youth unemployment can reduce lifetime income by 2%. Finally, it is also postulated that with the current economic situation, Gen Zers may accept lower paying jobs setting them on a track of comparatively lower earnings over their lifetime.

Overall, there are many future implications associated with the current unemployment rate for Gen Zers. Often getting your foot in the door after college or high school is one of the hardest steps in starting a career. Once you’re in, you gain knowledge, skills, and the oh-so-coveted experience needed to get ahead.

The Kids are Alright?

One positive for Gen Z is that they have been found to be more risk averse and financially conscious than other generations, and were so even prior to COVID-19. Many of them were children during the 2008 Recession and became very cautious as a result.

They are also the first digital generation— the first to grow up without any memory of a time before the internet. Additionally, they have been called the first global generation. This could mean that they pioneer location-independent careers, create innovative revenue streams, and find new ways to define work.

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Healthcare

Explained: The 3 Major COVID-19 Variants

New variants of COVID-19 are spreading fast around the world. Here’s a look at the 3 major ones and how they differ from one another.

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3 Major COVID variants

Explained: The 3 Major COVID-19 Variants

As billions of people gear up for widespread vaccination against COVID-19, another issue has reared its head. Three major COVID-19 variants have emerged across the globe—and preliminary research suggests these variants may be cause for concern.

But what makes them different from the original strain?

The following visualizations answer some key questions, including when these variants were first discovered, how far they’ve spread worldwide, and most importantly, their potential impact on the population.

Some Context: What is a Variant?

Before diving in, it’s important to understand why viruses mutate in the first place.

To infect someone, a virus takes over a host cell and uses it to replicate itself. But nature isn’t perfect, and sometimes, mistakes are made during the replication process—those mistakes are called mutations.

A virus with one or more mutations is referred to as a variant. Most of the time, variants do not affect a virus’s physical structure, and in those instances, they eventually disappear. However, there are certain cases when a mutation impacts part of a virus’s genetic makeup that does change its behavior.

According to the U.S. Centers for Disease Control (CDC) a change in behavior can alter:

  • Rate of transmission
  • Deadliness
  • Ability to potentially infect someone with natural or vaccine-induced immunity

Preliminary research has detected some of these changes in the three major COVID-19 variants—B.1.1.7, B.1.351, and P.1.

The 3 Major COVID-19 Variants

The three major variants emerged at different times, and in different parts of the world. Here’s an overview of each variant, when they were discovered, and how far they’ve spread so far.

B.1.1.7

The B.1.1.7 variant was detected in the UK in the fall of 2020. By December 2020, it had spread across the globe, with cases emerging across Europe, North America, and Asia.

B117 COVID Variant

Currently, the variant has been reported in roughly 94 countries.

Early research suggests it’s 50% more transmissible than other variants, and potentially 35% more deadly than the standard virus. Luckily, studies suggest that some of the existing vaccines work well against it.

B.1.351

In October 2020, the second major variant was discovered—B.1.351. It was first identified in South Africa, but by end of the year, it had spread to the UK, Switzerland, Australia, and Japan.

B1351 COVID variant

There are approximately 48 countries with reported cases, and research suggests several of the existing COVID-19 vaccines may not be as effective against this variant.

P.1

The P.1 variant was the last to arrive on the scene.

It was first discovered in January 2021, when Japan reported four cases of the variant, which was found in travelers who had arrived from Brazil.

P1 COVID variant

Approximately 25 countries have reported cases of the P.1 variant, and early research suggests this variant is not only more contagious, but could also have the ability to infect people with natural immunity who had already recovered from the original strain.

Still Early Days

While there have been preliminary studies showing a dip in vaccine effectiveness, some experts emphasize that it’s too early to tell for certain. More data is needed to gain a deeper and more accurate understanding.

In the meantime, experts are emphasizing the importance of following our current public health strategies, which include physical distancing, vaccination, washing your hands, and using masks.

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