An African Relational Approach to Healthcare and Big Data Challenges

Accessing HIV care services by key populations - An Ubuntu philosophy reflection

BACKGROUND

 Key populations are disproportionately affected by HIV despite the significant decrease in new HIV infections in Africa. They experience challenges like stigma and discrimination as they interface with the healthcare system. This results in reduced access to HIV care services for key populations. Therefore, the attainment of HIV epidemic control may not be easily realised if these gaps are not addressed.

OBJECTIVES

 To explore and synthesise factors associated with accessing HIV care services by key populations, as well as make a reflection of this process using Ubuntu philosophy.

METHOD

 An integrative literature review was conducted on studies published between 2014 and 2024. An electronic search was performed on several databases. Examples of key phrases that were utilised for the search included Africa, HIV care services, key populations and Ubuntu. The studies included were qualitative and quantitative from peer-reviewed journals and restricted to Africa.

RESULTS

 The following themes emerged: non-inclusive healthcare environment, attitudes of healthcare workers and stigma and discrimination. These findings illustrate the challenges and barriers affecting access to HIV care services for key populations.

CONCLUSION

 The insights from this review call for a paradigm shift in the training programmes of healthcare providers in Southern Africa.Contribution: Given the challenges that affect key populations as they access HIV care services, in-service and pre-service training of healthcare providers should incorporate the humane values of Ubuntu.

The Ubuntu Way: Ensuring Ethical AI Integration in Health Research

The integration of artificial intelligence (AI) in health research has grown rapidly, particularly in African nations, which have also been developing data protection laws and AI strategies. However, the ethical frameworks governing AI use in health research are often based on Western philosophies, focusing on individualism, and may not fully address the unique challenges and cultural contexts of African communities. This paper advocates for the incorporation of African philosophies, specifically Ubuntu, into AI health research ethics frameworks to better align with African values and contexts. This study explores the concept of Ubuntu, a philosophy that emphasises communalism, interconnectedness, and collective well-being, and its application to AI health research ethics. By analysing existing global AI ethics frameworks and contrasting them with the Ubuntu philosophy, a new ethics framework is proposed that integrates these perspectives. The framework is designed to address ethical challenges at individual, community, national, and environmental levels, with a particular focus on the African context. The proposed framework highlights four key principles derived from Ubuntu: communalism and openness, harmony and support, research prioritisation and community empowerment, and community-oriented decision-making. These principles are aligned with global ethical standards such as justice, beneficence, transparency, and accountability but are adapted to reflect the communal and relational values inherent in Ubuntu. The framework aims to ensure that AI-driven health research benefits communities equitably, respects local contexts and promotes long-term sustainability. Integrating Ubuntu into AI health research ethics can address the limitations of current frameworks that emphasise individualism. This approach not only aligns with African values but also offers a model that could be applied more broadly to enhance the ethical governance of AI in health research worldwide. By prioritising communal well-being, inclusivity, and environmental stewardship, the proposed framework has the potential to foster more responsible and contextually relevant AI health research practices in Africa.

Transforming healthcare with big data analytics: technologies, techniques and prospects

In different studies in the field of healthcare, big data analytics technology has been shown to be effective in observing the behaviour of data, of which analysed to allow the discovery of relevant insights for strategy and decision making. The objective of this study is to present the results of a systematic review of the literature on big data analytics in healthcare, focussing in technologies, main areas and purposes of adoption. To reach its objective, the study conducts an exploratory research, through a systematic review of the literature, using the Methodi Ordinatio protocol supported by content analysis. The results reveal that the use of tools implies work performance at the clinical and managerial level, improving the cost-benefit ratio and reducing the time factor in the practice of the workforce in health services. Thus, this study hopes to contribute to the technological advancement of computational intelligence applied to healthcare.