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DST Infographics

Liu, Nick

Created on December 8, 2022

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Transcript

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062560/#:~:text=As%20illustrated%20in%20Figure%201,annually%20due%20to%20medical%20errors. medical error citation

https://www.transfusionguidelines.org/document-library/documents/component-wastage-f-sear-pdf/download-file/Component%20wastage%20F%20Sear.pdfRed cell waste citation

https://levelup.gitconnected.com/quantifying-the-risk-of-ai-bias-998a5542a5e0Data Bias Cycle

AI in healthcare

AI's potential impact

95%

15%

AI skin cancer detection rate compared to 87% of the doctors

of current work hours in healthcare could be automated by 2030

Challenges in the Healthcare Industry

(McKinsey & Company , 2020)

4.1M Estimated Healthcare worker shortfall in the EU by 2030

(World Economic Forum, 2018)

2.3M

0.6M

1.3M

30x

8%

faster than a cinician with 1% error rate in breast cancer diagnosis

of all hacking breaches are represented by hacking incidents on EMR Systems

Physicians

Nurses

Other professionals

(ERPS, 2022)

(Pwc, 2017)

(Critical Insight Inc., 2022)

>5,234

cases of Medical Errors reported in Japan, a country with excellent healthcare, in 2021

Potential Drawbacks for implementing AI

Current Adoption of AI in EU Healthcare Organizations

Data Bias Cycle

(Statista, 2022)

(Watari, 2022)

£94,474

EoE Regional red cell wastage just for Quarter 12017

48%

of respondents in the UK don't trust AI.

42%

28%

39%

(Sear, 2017)

(King, 2020)

(Statista, 2021)

Medical Robotics

Disease Diagnosis

Patients Monitoring

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https://www.statista.com/statistics/1312566/adoption-stage-of-ai-in-healthcare-in-the-eu/current adoption of ai citation

https://www.pwc.nl/nl/assets/documents/pwc-sherlock-in-health.pdf 30x faster citation

https://www.statista.com/statistics/950441/trust-in-artificial-intelligence-great-britain/ Not trust citation