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Artificial Intelligence (AI) in Clinical Practice - Patient Perspective - Thematic Intelligence

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    Report

  • 52 Pages
  • October 2023
  • Region: Global
  • GlobalData
  • ID: 5894348

Summary

In this AI in Clinical Practice: Patient Perspective - 2023 report, the author examines the patient perspective on the use of AI in healthcare settings in the US, France, Germany, Italy, Spain, the UK, Japan, Brazil, Canada, India, and Mexico.

Key takeaways from this report include:

  • Younger patients were more confident that they understand artificial intelligence (AI) compared to older generations.
  • Lack of in-person interaction was the number one patient concern associated with physicians using AI in clinical practice.
  • Faster healthcare delivery and mitigation of healthcare staff shortages were selected as the main benefits associated with AI use in clinical practice.
  • Patients familiar with AI were more convinced that AI could improve patients’ care.
  • Most patients felt more comfortable with physicians using AI to automate administrative tasks compared to directing patient care.
  • Patents who were familiar with AI were more comfortable visiting healthcare practices that were using this technology.
  • Physicians who had previous AI experience were more positive about patients being comfortable with the use of AI to support clinical decisions.
  • AI implementation can improve patient monitoring technologies that are already used in healthcare.
Despite being a relatively new technology, AI has been touted as a key driver of future healthcare innovation. AI is poised to improve healthcare in several ways, including streamlining clinical workflow, alleviating staff shortages, and enhancing patient diagnoses and treatment. While AI has enormous potential to disrupt clinical practice, and is expected to become a part of healthcare delivery processes, it is essential to ensure that it is safe, ethical to use, and that both physicians and patients have trust in AI.

Scope

This report combines information obtained from secondary sources and primary research with patients suffering from conditions such as heart diseases, diabetes, multiple sclerosis (MS), cancer, chronic respiratory conditions, rheumatoid arthritis (RA), psoriasis, and inflammatory bowel disease (IBD). The patient survey was fielded between July-August 2023. The interviews and surveys with physicians and KOLs were conducted during March-June 2023.

Study objectives

  • Assess patients’ comfort level with physicians’ using AI.
  • Capture patients’ opinions on AI use in clinical setting.
  • Identify the processes within clinical practice that AI can improve the most.
  • Explore the perceived advantages and disadvantages of AI.
  • Compare patients’ and physicians’ opinions on the use of AI.

Reasons to Buy

  • This report combines information obtained from secondary sources and primary research with patients, 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’ and patients’ opinions on the use of AI.
  • Identifies the processes within clinical practice that AI can improve the most - according to both patients and physicians.
  • Explores patients comfort level with visiting healthcare practices that use AI.
  • Includes AI case studies.

Table of Contents

1 Executive Summary
1.1 Executive Summary
2 Study Design
2.1 Objectives and Design
2.2 Respondent Mix
2.3 Respondent Profiles
3 Patient Perception of AI
3.1 Patient Familiarity Level with AI
3.2 Patient Concerns Associated with HCPs Using AI - by Geography
3.3 Perceived Benefits of AI - by Geography
3.4 Patients’ Agreement Level with AI Improving Care
3.5 Patients’ Agreement Level with AI Improving Care - by Geography
4 Patient Comfort with AI
4.1 Patient Comfort Level with Physicians Using AI
4.2 Patient Comfort Level with Physicians Using AI - by Geography
4.3 Patient Comfort with Visiting Practice that Uses AI
4.4 Patient Comfort with Visiting Practice that Uses AI - by Condition
5 Comfort with AI: Patients vs. Physicians
5.1 Physician Comfort Level with Using AI
5.2 Physician and Patients Comfort Level with Using AI
5.3 Physician Comfort Level with Using AI
6 Digital Health, Telemedicine, and AI
6.1 Patient Use of Digital and Connected Devices
6.2 Patient Use of Telemedicine
7 Use Cases
7.1 AI Tasked with a Challenge to Identify Breast Cancer
7.2 AI Helps to Organize Electronic Healthcare Records
7.3 AI’s Bid on Tackling and Easing NHS Pressure
7.4 Revolutionizing Public Health Management with Big Data and AI
7.5 AI Proves to Be Helpful in Diabetic Care
8 Summary of Key Findings
8.1 Key Findings
9 Appendix
9.1 Bibliography
9.2 Abbreviations
9.3 Related Reports
10 About the Authors
10.1 About the Authors
11 Our Thematic Research Methodology
11.1 Our Thematic Research Methodology
12 Contact Us
12.1 About the Author
12.2 A Connected Platform for a Dynamic World
12.3 Contact Us

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Brunei’s Ministry of Health
  • Cedars-Sinai
  • DreaMed
  • Dyad
  • EVYD
  • Lunit
  • National Health Service
  • Teton.ai
  • US Food and Drug Administration
  • Vantage Health