AI’s Evolution in Healthcare: Advancements, Challenges, and Ethical Considerations

By Sumona Bose

January 10, 2024

Introduction: AI’s Evolution in Healthcare

From improving imaging and electronic medical records to aiding in laboratory diagnosis and treatment, AI has become an indispensable tool in augmenting the intelligence of physicians and advancing medical knowledge. It has also played a crucial role in new drug discovery, preventive and precision medicine, extensive data analysis, and streamlining processes for health organizations.However, as AI continues to evolve, it faces several ethical and legal challenges. One of the key issues is the lack of accessibility to AI technologies in low-income and developing countries. While AI has made significant strides in improving healthcare outcomes, its benefits are not equally accessible to all societies. This disparity raises concerns about social gaps and the need for inclusive healthcare practices. AI’s evolution in healthcare can be identified as both complex and rewarding.

Figure 1: Tommy, the robot nurse, helps keep flesh-and-blood doctors and nurses safe from coronavirus at the Circolo Hospital in Varese, Italy

Challenges of AI in Healthcare

Ethical dilemmas, privacy and data protection, informed consent, and social justice are among the challenges associated with AI in healthcare. Before integrating AI into the healthcare system, practitioners and specialists must consider the four medical ethics principles: autonomy, beneficence, non-maleficence, and justice. These principles should guide decision-making and ensure that AI is used responsibly and ethically in all aspects of healthcare.

To address privacy concerns, the General Data Protection Regulation (GDPR) was enacted by the European Union (EU), influencing privacy legislation in other countries. Informed consent, a crucial aspect of ethical responsibility, involves effective communication between patients and healthcare providers. Patients have the right to be fully informed about their diagnoses, treatment processes, test results, costs, and other medical information. Informed consent should be specific, freely given, and unambiguous.

Another challenge posed by AI is the widening social gap. While AI provides access to vast amounts of information, it also exacerbates social inequality. Integrating AI into healthcare systems is a complex task, as human emotions and medical robots may not evolve together seamlessly. Collaboration and consultation between healthcare professionals become crucial in ensuring the ethical use of AI.

Figure 2: India’s robots such as Mitra are being used to reduce the risk of infection for medical staff and taking care of Covid-19 patients

Conclusion

Despite the immense potential of AI in healthcare, it is essential to consider the negative aspects that may outweigh its benefits. Experts must prioritize humanity and ethics when developing and implementing AI technologies in healthcare. Striking a balance between technological advancements and ethical considerations is crucial to ensure that AI serves the best interests of patients and society as a whole. AI’s evolution in healthcare has brought about significant advancements, but it also presents ethical challenges.

Reference url

Recent Posts

South African National Health Insurance Bill
          

High Court on South African National Health Insurance Bill

📢Latest update on the NHI! 📢 Dive into our latest piece on the judicial review of the South African National Health Insurance Bill. Learn about the intriguing case and its implications on the healthcare industry. 🏛️💼💡 #HealthcarePolicy #LegalReview #NationalHealthInsuranceBill

Global Perspective on Orphan Medicines
                

A Global Perspective on Orphan Medicines and Rare Diseases

Discover the global perspective on orphan medicines and their role in treating rare diseases. Learn about the unique challenges and incentives in their development. 🌍💊 #OrphanMedicines #RareDiseases #HealthcareInnovation #RareDiseaseDay. Read more here

            

The Impact of Universal Health Coverage on Poverty Reduction in Low and Middle-Income Countries

📚 New research findings alert! 🚨 A recent study shows that increasing coverage of maternal, child and inpatient services is associated with reduced poverty in low and middle-income countries. 💡 This supports pro-poor approaches towards Universal Health Coverage. 🌍 Let’s work together to ensure #HealthForAll and #EndPoverty. Read more here 📖 #UHC #GlobalHealth #HealthEquity

When you partner with Syenza, it’s like a Nuclear Fusion.

Our expertise are combined with yours, and we contribute clinical expertise and advanced degrees in health policy, health economics, systems analysis, public finance, business, and project management. You’ll also feel our high-impact global and local perspectives with cultural intelligence.

SPEAK WITH US

CORRESPONDENCE ADDRESS

1950 W. Corporate Way, Suite 95478
Anaheim, CA 92801, USA

JOIN NEWSLETTER




SERVICES

© 2024 Syenza™. All rights reserved.