AI is poised to improve healthcare in several ways, including streamlining clinical workflow, alleviating staff shortages, and enhancing patient diagnoses and treatment. In this Thematic Intelligence: AI in Clinical Practice - 2023 report, the publisher examines the use of AI in clinical practice. The report provides an overview of current use and future outlook of AI in the eight major pharmaceutical markets - US, France, Germany, Italy, Spain, UK, Japan, and China.
- 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 towards 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.
Key Highlights
- 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.
Scope
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 (hematology, pediatric hematology, hematology-oncology, cardiology, gastroenterology, hepatology, and dermatology). The interviews and surveys with physicians and KOLs were conducted during March-June 2023. The objectives of this study include:
- Assess the current use of the AI in clinical practice.
- Capture physicians' opinions on the use of AI.
- Identify the processes within clinical practice that AI can improve the most.
- Explore future opportunities for AI.
- Investigate how AI is being used outside clinical practice.
Reasons to Buy
- The publisher'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 the important themes early, enabling companies to make the right investments ahead of the competition, and secure 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.
- Stay up to date on the industry's major players and where they sit in the industry trend and value chain.
- Identify emerging industry trends to gain a competitive advantage.
Table of Contents
01. Executive Summary02. Study Design
03. AI Use in Clinical Practice
04. Comfort With Using AI
05. AI Impact on Clinical Practice
06. Use Cases
07. Summary of Key Findings
08. About the Authors
09. Our Thematic Research Methodology
10. Contact the Publisher
List of Tables
- Table 1: Exective summary
- Table 2: Executive summary
- Table 3: Key findings
- Table 4: Bibliography
- Table 5: Abbreviations
- Table 6: Related reports
- Table 7: AI in clinical practice - A closer look at what physicians think
Figure 1: Respondent mix - geography
Figure 2a: Respondent mix - specialty
Figure 2b: Respondent mix - country
Figure 3: AI use in clinical practice
Figure 4: AI use in clinical practice - by geography
Figure 5: AI use in clinical practice - by geography and activity type
Figure 6a: Physician perceptions towards usefulness of AI - HCPs who have never used AI in their practice
Figure 6b: Physician perceptions towards usefulness of AI - HCPs who have used AI in their practice
Figure 7: Physician perceptions towards usefulness of AI - by geography
Figure 8: Physician comfort level with using AI
Figure 9: Physician comfort level with using AI - by geography
Figure 10a: Physician comfort level with sales representatives using AI - HCPs who have never used AI in their practice
Figure 10b: Physician comfort level with sales representatives using AI - HCPs who have used AI in their practice
Figure 11: Physician comfort level with sales representatives using AI - by geography
Figure 12a: Patients comfort level with physicians using AI - HCPs who have never used AI in their practice
Figure 12b: Patients comfort level with physicians using AI - HCPs who have used AI in their practice
Figure 13: Patients comfort level with physicians using AI - by geography
Figure 14a: AI impact timeline on clinical practice - HCPs who have never used AI in their practice
Figure 14b: AI impact timeline on clinical practice - HCPs who have used AI in their practice
Figure 15: AI impact timeline on clinical practice - by geopraghy
Figure 16: Use of AI as an inflation reduction measure
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- National Health Service (NHS)
- World Health Organization (WHO)
- US Food and Drug Administration (US FDA)
- Qure.ai Technologies Inc
- AstraZeneca
- Deloitte
- ODAIA
- HEVI AI
- International Organization for Standardization (ISO)
- Hippocratic AI
