Approaches to Human-Centered AI in Healthcare

Price: $380.00
(as of Dec 27,2024 05:53:44 UTC – Details)

ASIN ‏ : ‎ B0CR1W5KX9
Publisher ‏ : ‎ IGI Global (May 10, 2024)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 356 pages
ISBN-13 ‏ : ‎ 979-8369322383
Item Weight ‏ : ‎ 1.83 pounds
Dimensions ‏ : ‎ 7 x 0.81 x 10 inches

In recent years, the integration of artificial intelligence (AI) in healthcare has become increasingly prevalent. From improving diagnostic accuracy to optimizing treatment plans, AI has the potential to revolutionize the way healthcare is delivered. However, it is crucial that AI systems are designed with a human-centered approach in mind to ensure they are effective, ethical, and trustworthy. Here are some key approaches to human-centered AI in healthcare:

1. User-Centric Design: One of the most important principles of human-centered AI is to design systems with the end-user in mind. In healthcare, this means involving healthcare professionals, patients, and other stakeholders in the design process to ensure that AI systems meet their needs and preferences. By understanding the unique challenges and workflows of healthcare providers, AI solutions can be tailored to support and enhance their decision-making processes.

2. Transparency and Explainability: Healthcare AI systems must be transparent and explainable to build trust and confidence among users. Patients and healthcare providers should be able to understand how AI algorithms work and why specific recommendations are being made. By providing explanations and justifications for AI-driven decisions, users can better understand and trust the technology.

3. Ethical Considerations: Ethical considerations are paramount in the development and deployment of AI in healthcare. This includes ensuring that AI systems respect patient privacy, confidentiality, and autonomy. Additionally, AI algorithms should be designed to minimize bias and discrimination, and decisions made by AI should be aligned with ethical standards and guidelines.

4. Continuous Monitoring and Evaluation: Human-centered AI in healthcare requires ongoing monitoring and evaluation to assess the impact and effectiveness of AI systems. This includes tracking key performance indicators, collecting feedback from users, and making adjustments as needed to improve the usability and efficacy of AI solutions.

By adopting a human-centered approach to AI in healthcare, we can harness the power of technology to improve patient outcomes, enhance the efficiency of healthcare delivery, and ultimately transform the way healthcare is delivered. Let’s work together to ensure that AI in healthcare is designed with the needs and values of patients and healthcare providers at its core.
#Approaches #HumanCentered #Healthcare