Artificial Intelligence in Healthcare
AI in healthcare is transforming how we tackle challenges like data overload, staff shortages, and rising costs.
Embracing digitization and improved algorithms, AI-enhanced care helps streamline workflows, interpret results, and predict outcomes.
Though we need clearer guidelines and effectiveness assessments, HTA’s role is crucial in guiding policy and resource allocation. Together, let’s unlock AI’s full potential in healthcare!
Read more on our perspectives of AI.
Recent Posts
China Medical Research Challenges: Pushing Boundaries Amid Ethical and Quality Concerns
China's medical research challenges are starkly evident in Kamran Abbasi's editorial in The BMJ, which portrays the country's medical research landscape as a dual-edged sword. It highlights rapid modernization, massive investments in infrastructure and cohort studies, and i...
Medical Schemes Affordability Crisis: Insights from the CMS Annual Report 2024/25
The CMS Annual Report 2024/25 highlights significant medical schemes affordability challenges in South Africa, where relevant healthcare expenditure per beneficiary surged by 8.70% year-on-year, far outpacing both contribution growth and general inflation. Solvency ratios have declined for three ...
Barriers to African Pharmaceutical Growth: Navigating Regulatory and Procurement Challenges
African Pharmaceutical Growth remains stifled by significant barriers, as highlighted in a recent plenary address at the Conference on Public Health in Africa (CPHIA) 2025 (reported by Health Policy Watch). Dr. Stavros Nicolaou, group senior executive for strategic trade at Aspen Pharmacare and c...