Artificial Intelligence (AI) in Clinical Practice – Thematic Intelligence

Access and explore in-depth trends and insights in our ‘Artificial Intelligence (AI) in Clinical Practice’ report:

• This report combines information obtained from secondary sources and primary research with healthcare industry professionals, key opinion leaders (KOLs), and physicians from different therapy areas.
• It assesses the current use of AI in clinical practice.
• Captures physicians’ opinions on the use of AI.
• Identifies the processes within clinical practice that AI can improve the most.
• Explores future opportunities for AI.
• Investigates how AI is being used outside clinical practice.

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• GlobalData’s thematic research ecosystem is a single, integrated global research platform that provides an easy-to-use framework for tracking all themes across all companies in all sectors. It has a proven track record of identifying important themes early, enabling companies to make the right investments ahead of the competition, and securing that all-important competitive advantage.
• Develop and design your corporate strategies through our analysis of artificial intelligence in healthcare by understanding the primary ways in which this theme is impacting the healthcare industry.
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• Identify emerging industry trends to gain a competitive advantage.

 We recommend this valuable source of information to anyone involved in:

• Technology Leaders/Startups/Distributors
• Healthcare & Pharma Manufacturers (Innovative, Biotech, Generics, Biosimilars, Rare/Orphan Disease)
• Clinical Research Organisations (CROs)
• Government/Financial Institutions (Investors in Pharma/Biotech, Pricing Consultancies)
• Professional Services – Investment Banks, PE/VC firms
• M&A/Investment, Management Consultants, and Consulting Firms

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Ai In Clinical Practice Trend Analysis Thematic Report Overview

Artificial intelligence (AI) is becoming embedded in the provision of healthcare. AI in clinical is more commonly used to alleviate treatment-related tasks such as supporting diagnostics, treatment decisions, and treatment plans. Across surveyed markets, China had the highest percentage of physicians who had already used AI in their practice to relieve the burden on hospitals and healthcare systems. Given the fast evolution of AI, aging populations, increasing prevalence of chronic diseases, and the ongoing need to optimize healthcare provision, clinical practices will gradually shift to more widespread adoption of AI.

The AI In Clinical Practice Trend Analysis thematic report examines the use of AI in clinical practice. The report provides an overview of the current use and outlook of AI in the eight major pharmaceutical markets (8MM) namely, the US, France, Germany, Italy, Spain, the UK, Japan, and China.

AI Use in Clinical Practice

According to most of the HCPs in March–June 2023, their practices did not use AI to support activities like diagnostics, treatment decisions, treatment plans, referrals, or administrative tasks. Several practices, such as oncology, were already using AI to calculate risk prediction and support disease diagnosis. The physicians who are prone to using AI in their clinical practices are mainly using the technology to alleviate treatment-related tasks such as supporting diagnostics, treatment decisions, and treatment plans. However, privacy and data security regulations can make it difficult to collect and utilize health data, which may obstruct the wider adoption of AI.

The extent to which AI could be perceived as beneficial or as concerning differs greatly according to its specific use. Nevertheless, the complexity and increasing amount of healthcare data, aging populations, increasing prevalence of chronic diseases, and workforce shortages will continue to build a strong case for AI to be applied across healthcare.

AI Use in Clinical Practice by Geography and Activity Type

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AI Impact on Clinical Practice

Respondents who had previous experience using AI expected shorter timelines for the technology to have an impact on clinical practice. In contrast, respondents who had never used AI before were more doubtful about the speed of AI adoption. The impact of AI might still be in the early stages in most markets, but it is expected to redefine the provision of healthcare. The rise of big data, the increasing importance of RWE, increased usage of cloud computing and smart devices, the shift in tech-savvy consumer behavior, and the growing use of technologies will contribute to a further increase in AI use.

AI Impact on Clinical Practice by Geography

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Key Highlights

• Artificial intelligence (AI) is becoming embedded in the provision of healthcare.
• China has emerged as one of the leading markets for AI adoption in healthcare.
• Physicians who had previous experience with AI were more supportive of the use of the technology in clinical practice.
• Most physicians felt more comfortable using AI to automate administrative tasks compared to directing patient care.
• HCPs who had previous experience using AI in their practices were more comfortable with sales representatives using AI to personalize their messaging.
• Respondents who had previous AI experience were more positive about patients being comfortable with the use of AI to support clinical decisions.
• AI will require time and careful consideration before its benefits can be fully exploited.
• AI could be among the technologies with the potential to curb inflation in healthcare.
• AI is set to power the future of healthcare provision.
• AI appreciation comes with hands-on experience and understanding of the technology.
• While AI has enormous potential to improve healthcare, it needs to be implemented with responsibility and foresight.