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May 2024
Article: WHAT IS HUMAN-CENTERED DESIGN
The ISO 9241-210:2019 standard on Human-Centered Design prioritizes user needs and efficiency in interactive system development, promoting well-being and accessibility
while mitigating risks. It's relevant to digital and non-digital healthcare interactions, aiming to improve user experiences and system performance. Human-Centered Design integrates the human
perspective throughout problem-solving stages, emphasizing continual assessment and optimization.
November 2023
Research Article: Patient preferences in Pulmonary Arterial Hypertension (PAH), a Latent Class Analysis to Identify Preference Heterogeneity
The study aimed to understand patient preferences for pulmonary arterial hypertension (PAH) treatments. Patients completed an online survey selecting among hypothetical treatment profiles. Latent class analysis identified four preference classes: one prioritizing side effects, another physical activity limitations, a third survival and activity limits, and a fourth survival. Study results highlight the importance of considering patient preferences in treatment decisions for PAH.
November 2023
Research Article: Preferences for Monitoring Comprehensive Heart Failure Care: A Latent Class Analysis
The study examined patient preferences for monitoring systems in chronic heart failure using a best-worst scaling experiment and latent class analysis. Four distinct
preference classes were identified, with different priorities such as mobility, monitoring frequency, and risk factors. Despite varied preferences, most classes favored therapies with significant
improvements in mobility, mortality, and hospitalization. This approach enables personalized treatment options, enhancing clinical decision-making and data interpretation.
September 2023
Article: AI in Healthcare: Societal Preferences and Regulatory Imperatives
The rise of AI and Big Data in healthcare brings significant changes. It offers potential benefits like better patient outcomes and streamlined operations but also poses
risks such as misdiagnoses and ethical issues. Balancing these aspects is crucial. Thus article explores real-world applications, pitfalls, and strategic approaches for integrating AI into
healthcare, emphasizing the importance of assessing benefits, risks, and costs through the "value equation" framework.
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