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

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Artificial Intelligence (AI) in Clinical Practice Thematic Report Overview

According to the survey, younger patients (18-55 years old) are more likely to be familiar with AI than the older (56+ years) patients as they have been exposed to technologies such as computers and smart devices from a younger age and thus, may be more comfortable with innovation use. Following this trend, patients familiar with AI selected more advantages associated with AI implementation in clinical practice compared to those unfamiliar with this technology. This suggests that people with deeper knowledge of AI are favoring technology adoption. These patients are also more convinced that AI could improve patient care. Additionally, AI also increases the efficiency of hospitals by helping out with challenges like staffing shortages.

The Artificial Intelligence (AI) in Clinical Practice – Patient Perspective thematic report 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.

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AI in Clinical Practice - Patient Perception and Comfort

Due to increasing life expectancy and the prevalence of chronic diseases, the older generations will need more medical care, primary healthcare, and long-term care. Technologies can help to address these future healthcare needs and fill the gaps when resources become limited. The current younger generation is more accepting of the application of technologies in healthcare due to their higher familiarity level with AI. Moreover, AI enhances human decision-making by offering big data processing and predictive analytics. This makes the technology a perfect fit for healthcare, which is rich in untapped data. However, a lack of in-person interaction, followed by increased medical errors and data privacy and security concerns, are the main concerns associated with HCPs using AI in clinical practice. Doctor-patient relationships make up an integral part of the care of a patient, especially if they need long-term care. This is a challenge that cannot be solved by AI and concerns patients who are both familiar and unfamiliar with its use. This suggests that in-person interaction is very important no matter whether patients have trust in AI.

Patients from India, Brazil, and Mexico expressed the highest comfort level with physicians using AI and were among the most positive about AI’s ability to improve care. However, patients from countries with a higher GDP were more skeptical regarding physicians using AI. These countries tend to spend more on health services, leading to greater expectations from the HCPs. With AI implementation poised to expand in healthcare settings, it is crucial to ensure that healthcare users understand technology, which in turn can increase comfort levels with inevitable AI use.

Perceived Benefits of AI by Geography

Perceived Benefits of AI by Geography

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AI in Clinical Practice - Digital Health, Telemedicine, and AI

AI technologies can help to create value by analyzing data that is generated through digital devices. For healthcare providers, this data can provide beneficial real-time insights and timely information related to patients’ health. Lack of awareness among healthcare professionals and patients acts as a barrier to the uptake of digital therapeutics. Hence, advocating for better digital awareness helps to innovate healthcare provision and create yet another case for further adoption of AI.

Telemedicine has been recognized as a critical strategy during the ongoing COVID-19 pandemic to limit the risk of person-to-person transmission of the virus as social distancing became the norm. The pandemic has helped realize the full potential of telemedicine. Regulations and policies governing reimbursement and use of telemedicine have also changed significantly, leading to expanded access and an unprecedented demand for these services.

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Key Takeaways

  • Younger patients were more confident that they understood 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.

Scope

This report combines information obtained from secondary sources and primary research with patients suffering from conditions such as heart disease, 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.

The objectives of this study include:

  • Assess patients’ comfort level with physicians using AI.
  • Capture patients’ opinions on AI use in clinical settings.
  • 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.

Key Highlights

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 and ethical to use and that both physicians and patients have trust in 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 patient comfort level by visiting healthcare practices that use AI.
  • Includes AI case studies.

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

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 GlobalData

12.2 A Connected Platform for a Dynamic World

12.3 Contact Us

Frequently asked questions

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