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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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Healthcare

Charted: Average Years Left to Live by Age

Visualizing the number of years left to live for Americans at every age, reveals the broader trends in American life expectancy.

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Chart showing the average years left to live at every age for men and women.

How Many Years Do You Have Left to Live?

At the start of the 19th century, when there fewer than 1 billion humans on the earth, global life expectancy at birth stood at roughly 29 years.

This is a startlingly low figure—because life expectancy is a statistical projection of how many more years a person can expect to live, based on the mortality rates at the time. And since the infant mortality rate in particular was so high, life expectancies accurately summarized the low likelihood of many babies living to adulthood.

However, since the 1920s, life expectancy across all ages has improved leaps and bounds, thanks to rapid advancements in nutrition, healthcare, and sanitation.

We visualized the current American life expectancy by age and gender, using data from the Office of Social Security, which bases their current projections on 2020 mortality rates.

American Life Expectancy at Every Age

A key takeaway with life expectancy is that it increases as one gets older. This is easily seen in the table below, which lists the remaining years left to live at a given age for an American male and the projected life expectancy.

AgeYears Remaining (Men)Life Expectancy (Men)
074.1274.12
173.5574.55
272.5874.58
371.6074.60
470.6274.62
569.6374.63
668.6474.64
767.6574.65
866.6574.65
965.6674.66
1064.6774.67
1163.6874.68
1262.6974.69
1361.7074.70
1460.7174.71
1559.7374.73
1658.7674.76
1757.7974.79
1856.8474.84
1955.9074.90
2054.9774.97
2154.0475.04
2253.1275.12
2352.2175.21
2451.3075.30
2550.3975.39
2649.4875.48
2748.5775.57
2847.6675.66
2946.7675.76
3045.8675.86
3144.9775.97
3244.0776.07
3343.1876.18
3442.2976.29
3541.3976.39
3640.5076.50
3739.6276.62
3838.7376.73
3937.8576.85
4036.9776.97
4136.0977.09
4235.2177.21
4334.3477.34
4433.4677.46
4532.5977.59
4631.7377.73
4730.8777.87
4830.0178.01
4929.1778.17
5028.3378.33
5127.5078.50
5226.6778.67
5325.8678.86
5425.0679.06
5524.2779.27
5623.4879.48
5722.7179.71
5821.9579.95
5921.2180.21
6020.4780.47
6119.7480.74
6219.0381.03
6318.3281.32
6417.6381.63
6516.9481.94
6616.2682.26
6715.5882.58
6814.9182.91
6914.2483.24
7013.5983.59
7112.9483.94
7212.3084.30
7311.6784.67
7411.0585.05
7510.4685.46
769.8885.88
779.3286.32
788.7786.77
798.2587.25
807.7487.74
817.2588.25
826.7788.77
836.3189.31
845.8889.88
855.4790.47
865.0791.07
874.7091.70
884.3592.35
894.0293.02
903.7293.72
913.4494.44
923.1895.18
932.9695.96
942.7596.75
952.5797.57
962.4298.42
972.2899.28
982.15100.15
992.04101.04
1001.93101.93
1011.83102.83
1021.73103.73
1031.63104.63
1041.54105.54
1051.45106.45
1061.36107.36
1071.27108.27
1081.18109.18
1091.10110.10
1101.02111.02
1110.95111.95
1120.88112.88
1130.82113.82
1140.76114.76
1150.70115.70
1160.65116.65
1170.60117.60
1180.56118.56
1190.52119.52
1200.48120.48

At birth, an average American baby boy can expect to live till just past 74. But if the boy reaches adulthood, then at 21 he might live to a full year more, past 75. This trend persists even towards the end of life when the years we have left drop rapidly, influenced by the higher likelihood of death.

American women, on the other hand, have a higher life expectancy than men. At birth the gap is close to six years, narrowing steadily to around one year by 85.

AgeYears Remaining
(Women)
Life Expectancy
(Women)
079.7879.78
179.1780.17
278.1980.19
377.2180.21
476.2280.22
575.2380.23
674.2480.24
773.2580.25
872.2580.25
971.2680.26
1070.2780.27
1169.2780.27
1268.2880.28
1367.2980.29
1466.3080.30
1565.3180.31
1664.3280.32
1763.3480.34
1862.3680.36
1961.3880.38
2060.4180.41
2159.4480.44
2258.4780.47
2357.5080.50
2456.5480.54
2555.5880.58
2654.6180.61
2753.6680.66
2852.7080.70
2951.7480.74
3050.7980.79
3149.8480.84
3248.8980.89
3347.9480.94
3447.0081.00
3546.0681.06
3645.1281.12
3744.1881.18
3843.2481.24
3942.3181.31
4041.3881.38
4140.4581.45
4239.5281.52
4338.6081.60
4437.6881.68
4536.7681.76
4635.8581.85
4734.9481.94
4834.0482.04
4933.1482.14
5032.2482.24
5131.3582.35
5230.4782.47
5329.5982.59
5428.7282.72
5527.8682.86
5627.0183.01
5726.1683.16
5825.3283.32
5924.4983.49
6023.6783.67
6122.8583.85
6222.0484.04
6321.2484.24
6420.4584.45
6519.6684.66
6618.8884.88
6718.1085.10
6817.3485.34
6916.5885.58
7015.8285.82
7115.0886.08
7214.3686.36
7313.6486.64
7412.9486.94
7512.2687.26
7611.6087.60
7710.9587.95
7810.3188.31
799.7088.70
809.1089.10
818.5389.53
827.9889.98
837.4490.44
846.9390.93
856.4491.44
865.9991.99
875.5592.55
885.1593.15
894.7693.76
904.4194.41
914.0895.08
923.7895.78
933.5196.51
943.2797.27
953.0598.05
962.8598.85
972.6899.68
982.52100.52
992.37101.37
1002.23102.23
1012.09103.09
1021.96103.96
1031.84104.84
1041.72105.72
1051.61106.61
1061.51107.51
1071.41108.41
1081.32109.32
1091.24110.24
1101.16111.16
1111.09112.09
1121.02113.02
1130.96113.96
1140.90114.90
1150.85115.85
1160.80116.80
1170.75117.75
1180.70118.70
1190.66119.66
1200.62120.62

Interestingly, women outlive men in nearly every country in the world, due to a mix of sociological, behavioral, and biological reasons.

COVID-19: Reversing A Decade of Increasing American Life Expectancy

While the current American life expectancy at birth seems reasonably high, it is nearly two years lower than the 2022 figure which used the 2019 mortality rate. It is also lower than the life expectancy at birth in 2009, which used 2005 mortality rate.

YearLife Expectancy
at Birth (Men)
Life Expectancy
at Birth (Women)
200974.1279.95
201476.1080.94
201976.0480.99
202374.1279.78

American mortality rates went up 17% between 2019–2020, in part because of COVID-19, in turn affecting life expectancy. The U.S. also had a higher COVID-19 mortality rate compared to its peers two years after the pandemic first struck.

Thus, American life expectancy may not improve immediately to 2019 levels, which can affect insurance premiums, pension benefits, and plans.

Where Does This Data Come From?

Source: Office of Social Security, U.S. Government.

Note: The life expectancy at a given age is the average remaining number of years expected prior to death for a person at that exact age, born on January 1, using the mortality rates for 2020 over the course of their remaining life.

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