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How Artificial Intelligence is Transforming Clinical Trial Recruitment



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 Artificial Intelligence is Transforming Clinical Trial Recruitment

How AI is Transforming Clinical Trial Recruitment

The medical world is shifting underneath our feet.

To keep up with the rising demands of empowered patients, physicians and pharma businesses regularly test innovative treatments and medicines during rigorous clinical trials.

But one misguided move can trigger a domino effect, such as when the wrong patients are selected for a clinical trial.

Today’s infographic comes to us from Publicis Health, and it highlights why the current model of clinical trial recruitment urgently needs to change.

The Cost of Clinical Trials

Clinical trials help to determine if a new treatment, drug, or device is safe for the larger patient population.

Patients are at the heart of these clinical trials, and poor patient recruitment has dire consequences:

  • 50% of sites enroll one or no patients in studies
  • 85% of clinical trials fail to retain enough patients
  • 80% of all clinical trials fail to finish on time

A single trial can cost anywhere from $44 million to $115 million. But here’s the kicker – according to a CenterWatch survey, delays can cost a trial between $600,000 and $8 million per day.

For these reasons, it’s crucial for pharma trial sponsors to find the right fit for clinical trials from the start.

A 360° View

The healthcare industry is moving towards a people-based marketing approach, to discover and engage the right patient one-on-one.

Advanced technology and connected patient data work in tandem with millions of real-time consumer behaviors, creating a rich and accurate profile of the perfect patient match.

The use of artificial intelligence, machine learning, and predictive analytics unearth further insights, weighting those patients with the behavioral tendencies most suited for the trial:

Omni-channel targeting
Actively reaching out to patients, wherever they are.

Predictive analytics
Continually refining media channels and messaging to further patient interest.

Ongoing communications
Nurturing relationships with patients, starting with the initial outreach.

Transforming Value

Applying a people-based approach to patient recruitment has a myriad of benefits, many of which live on long after the original trial’s completion.

AdvantageValue added
Recruitment- Accurate insight generation
- Real time optimization
- Faster and improved quality
- More efficient
- Increased conversion
- Reduced costs
Engagement- Behavioral-based messaging
- Personalized trial participation experiences
- Precise engagement at scale
- Drives patient adherence and retention during a trial
Long-term benefits of data collected- Develops patient profiles for future trials
- Guides the planning of the patient demographic
- Informs drug launch activities
- Accelerates recruitment and reduces start-up costs
- Speeds up commercialization of new drugs
- Supports disease awareness and educational campaigns

As clinical trials are successfully completed on time – allowing new drugs to reach the market faster than before – patients will benefit from easier access to groundbreaking treatments.

This is part five of a seven part series. Stay tuned by subscribing to Visual Capitalist for free, as we wrap up with the final two transformative forces shaping the future of healthcare.

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: Global Tobacco Use by Country and Sex

This visual shows tobacco use by country and sex, highlighting which countries still have a high prevalence of smoking.



Chart of tobacco use by country and sex in 2022

Charting Global Tobacco Use by Country and Sex

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Globally, rates of tobacco use have been falling for decades. Today, it is estimated that one-in-five people around the world use tobacco products, according to data from the World Health Organization (WHO).

That’s still enough people to have a sizable impact on both global healthcare and the environment. And the prevalence of tobacco use by country, and by sex, varies widely.

This chart shows current tobacco use in selected countries around the world using WHO estimates for 2022.

Which People Smoke the Most?

Below we examine the entire dataset of global countries by 2022 tobacco use. Estimates are of people aged 15 years and older and include both smoked and smokeless tobacco (including vaping). Countries that had no data for 2022 have been omitted.

In almost every country, males use tobacco more than females. Globally, 36% of men are tobacco users compared to just 8% of women.

CountryTotal Prevalence (%)Male (%)Female (%)
🇦🇫 Afghanistan22.138.35.9
🇦🇱 Albania22.438.76.6
🇩🇿 Algeria21.641.90.7
🇦🇩 Andorra33.633.333.8
🇦🇷 Argentina23.128.218.1
🇦🇲 Armenia22.549.31.7
🇦🇺 Australia12.514.810.3
🇦🇹 Austria22.023.720.5
🇦🇿 Azerbaijan19.339.60.1
🇧🇸 Bahamas10.720.62.1
🇧🇭 Bahrain18.125.74.9
🇧🇩 Bangladesh31.148.914.2
🇧🇧 Barbados6.511.71.7
🇧🇾 Belarus27.947.212.0
🇧🇪 Belgium24.727.422.1
🇧🇿 Belize8.715.51.9
🇧🇯 Benin5.59.51.7
🇧🇹 Bhutan19.627.211.0
🇧🇴 Bolivia12.220.44.1
🇧🇦 Bosnia and Herzegovina35.141.029.5
🇧🇼 Botswana18.130.26.5
🇧🇷 Brazil12.315.79.1
🇧🇳 Brunei Darussalam17.131.32.2
🇧🇬 Bulgaria34.038.130.2
🇧🇫 Burkina Faso13.521.75.5
🇧🇮 Burundi10.015.25.0
🇨🇻 Cabo Verde10.516.25.0
🇰🇭 Cambodia16.127.35.5
🇨🇲 Cameroon5.610.21.1
🇨🇦 Canada11.413.79.2
🇹🇩 Chad6.812.31.4
🇨🇱 Chile28.230.625.8
🇨🇳 China24.947.32.0
🇨🇴 Colombia8.212.14.5
🇰🇲 Comoros16.226.26.2
🇨🇬 Congo15.028.22.0
🇨🇰 Cook Islands25.530.321.4
🇨🇷 Costa Rica8.813.24.5
🇨🇮 Cöte d'Ivoire8.616.40.7
🇭🇷 Croatia32.634.231.1
🇨🇺 Cuba18.526.910.4
🇨🇾 Cyprus34.046.022.1
🇨🇿 Czechia27.531.723.3
🇨🇩 Democratic Republic of the Congo11.119.92.6
🇩🇰 Denmark16.216.416.0
🇩🇴 Dominican Republic10.214.06.5
🇪🇨 Ecuador10.117.62.6
🇪🇬 Egypt24.748.90.3
🇸🇻 El Salvador8.315.61.9
🇪🇪 Estonia25.632.919.1
🇸🇿 Eswatini8.616.21.4
🇪🇹 Ethiopia4.67.81.4
🇫🇯 Fiji27.341.713.1
🇫🇮 Finland19.623.915.4
🇫🇷 France29.231.327.3
🇬🇲 Gambia9.618.70.6
🇬🇪 Georgia29.054.77.1
🇩🇪 Germany18.821.316.4
🇬🇭 Ghana3.15.90.3
🇬🇷 Greece29.633.126.3
🇬🇹 Guatemala12.022.71.7
🇬🇼 Guinea-Bissau7.514.80.6
🇬🇾 Guyana10.519.32.2
🇭🇹 Haiti7.312.62.3
🇭🇳 Honduras12.222.71.7
🇭🇺 Hungary29.434.724.5
🇮🇸 Iceland9.49.49.4
🇮🇳 India23.936.810.4
🇮🇩 Indonesia38.573.63.4
🇮🇷 Iran (Islamic Republic of)13.924.83.1
🇮🇶 Iraq18.736.01.6
🇮🇪 Ireland18.220.516.1
🇮🇱 Israel19.826.413.3
🇮🇹 Italy20.424.116.8
🇯🇲 Jamaica9.515.83.5
🇯🇵 Japan16.826.57.7
🇯🇴 Jordan36.357.813.4
🇰🇿 Kazakhstan21.738.26.9
🇰🇪 Kenya9.216.62.1
🇰🇮 Kiribati38.251.625.7
🇰🇼 Kuwait22.735.62.1
🇰🇬 Kyrgyzstan26.451.33.3
🇱🇦 Lao People's Democratic Republic25.843.28.4
🇱🇻 Latvia30.345.617.2
🇱🇧 Lebanon34.043.125.7
🇱🇸 Lesotho22.942.04.8
🇱🇷 Liberia7.112.51.7
🇱🇹 Lithuania27.940.117.3
🇱🇺 Luxembourg21.823.320.3
🇲🇬 Madagascar25.741.79.9
🇲🇼 Malawi7.113.01.7
🇲🇾 Malaysia22.643.80.7
🇲🇻 Maldives29.343.610.1
🇲🇱 Mali7.614.40.7
🇲🇹 Malta23.225.520.6
🇲🇭 Marshall Islands30.451.88.6
🇲🇷 Mauritania9.417.22.0
🇲🇺 Mauritius20.038.12.8
🇲🇽 Mexico14.623.16.9
🇲🇳 Mongolia29.352.67.3
🇲🇪 Montenegro32.130.933.2
🇲🇦 Morocco13.125.31.0
🇲🇲 Myanmar43.969.419.2
🇳🇦 Namibia12.521.34.7
🇳🇷 Nauru49.550.348.7
🇳🇵 Nepal24.942.79.4
🇳🇱 Netherlands (Kingdom of the)20.122.517.7
🇳🇿 New Zealand11.412.710.2
🇳🇪 Niger7.714.01.3
🇳🇬 Nigeria2.95.40.4
🇳🇴 Norway14.014.813.2
🇴🇲 Oman11.017.40.4
🇵🇰 Pakistan16.927.76.2
🇵🇼 Palau17.026.37.3
🇵🇦 Panama5.18.41.9
🇵🇬 Papua New Guinea40.455.424.9
🇵🇾 Paraguay10.617.43.8
🇵🇪 Peru7.011.62.6
🇵🇭 Philippines20.436.24.3
🇵🇱 Poland23.227.619.1
🇵🇹 Portugal20.927.115.5
🇶🇦 Qatar18.824.62.3
🇰🇷 Republic of Korea18.932.75.4
🇲🇩 Republic of Moldova27.852.76.3
🇷🇴 Romania27.537.418.5
🇷🇺 Russian Federation27.242.014.8
🇷🇼 Rwanda12.017.76.7
🇱🇨 Saint Lucia13.624.83.0
🇼🇸 Samoa22.231.013.2
🇸🇹 Sao Tome and Principe7.112.61.8
🇸🇦 Saudi Arabia17.428.42.1
🇸🇳 Senegal6.011.70.6
🇷🇸 Serbia36.638.834.6
🇸🇨 Seychelles20.834.65.7
🇸🇱 Sierra Leone11.417.35.5
🇸🇬 Singapore16.427.94.0
🇸🇰 Slovakia30.235.425.4
🇸🇮 Slovenia18.120.215.9
🇸🇧 Solomon Islands37.655.319.6
🇿🇦 South Africa20.335.16.5
🇪🇸 Spain24.927.522.5
🇱🇰 Sri Lanka19.137.82.4
🇸🇪 Sweden22.128.315.9
🇨🇭 Switzerland23.326.320.4
🇹🇭 Thailand18.937.71.8
🇹🇱 Timor-Leste37.664.59.8
🇹🇬 Togo5.610.20.9
🇹🇴 Tonga30.746.815.5
🇹🇳 Tunisia20.139.71.6
🇹🇷 Türkiye30.741.919.6
🇹🇲 Turkmenistan5.410.60.5
🇹🇻 Tuvalu33.848.319.0
🇺🇬 Uganda5.39.01.8
🇺🇦 Ukraine22.038.38.5
🇦🇪 United Arab Emirates11.715.52.5
🇬🇧 United Kingdom13.115.011.4
🇹🇿 United Republic of Tanzania7.513.12.2
🇺🇸 United States of America23.028.617.5
🇺🇾 Uruguay19.323.016.0
🇺🇿 Uzbekistan16.231.81.0
🇻🇳 Viet Nam22.844.32.2
🇾🇪 Yemen20.833.77.9
🇿🇲 Zambia12.021.82.7
🇿🇼 Zimbabwe9.219.00.8

From a regional perspective, we can see many countries in Europe and Asia have higher rates of tobacco use. Indonesia and Myanmar specifically have some of the highest tobacco use rates in the world, with 73.6% of Indonesian men estimated to smoke or use tobacco.

In many Asian countries we also see a greater difference between male and female smokers compared to the rest of the world. In China for example, 47.3% of males are estimated to use tobacco compared to just 2.0% of females.

On the other hand, the Americas and especially Africa have a lower prevalence of tobacco use. Nigeria at 2.9% had the lowest rate of tobacco use in the world in 2022.

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