Data Blog

Introduction The eHealth for Everyone Foundation, in collaboration with the Federal Ministry of Health (FMoH) and the National Universities Council (NUC), introduced the Health Data Analytics (HDA) Research Fellowship programmes in 2021. The fellowships are targeted towards postgraduate student researchers and staff members of Ministries, Departments and Agencies (MDAs). The overall goal of these fellowships[...]

The rapid advancements in artificial intelligence (AI) and data science have brought transformative changes to various industries. However, this progress has also raised important ethical considerations that cannot be ignored. As data scientists and AI developers harness the power of data, they face a growing responsibility to ensure ethical practices throughout the entire data lifecycle.[...]

Introduction In a world where technology is reshaping industries, eHealth4everyone stands at the forefront of transforming healthcare. With a steadfast commitment to making healthcare accessible to all through technology-driven innovations, eHealth4everyone believes that proven digital health solutions are extremely important. In this post, we explore the exciting frontier of mental health treatment, where data analytics[...]

Data mining is the process of extracting valuable insights and knowledge from large datasets. There are various data mining techniques that can be used to analyze data and identify patterns, such as decision trees, neural networks, and clustering. However, not all techniques are equally effective for every dataset or problem. Therefore, it is important to[...]

In the world of healthcare, data is the driving force behind informed decisions and effective interventions. Efficient data management and analysis are crucial for effective decision-making and the successful implementation of health interventions. DHIS2, a dynamic platform, not only collects and manages health data but also serves as a catalyst for transforming data into action.[...]

Health data security refers to the measures and practices implemented to protect sensitive and confidential information related to patients’ health. This information includes personal medical records, treatment histories, diagnoses, etc. The main objective of health data security is to prevent unauthorized access, use, or disclosure of this information, ensuring its confidentiality, integrity, and availability. Several[...]

  In today’s digital era, the healthcare industry is embracing analytics to drive significant improvements in patient care. By harnessing the power of data and applying advanced analytics techniques, healthcare providers are unlocking valuable insights that optimize diagnoses, treatments, and patient outcomes.  Enhancing Diagnoses and Clinical Decision-Making: Accurate and timely diagnoses are critical in healthcare,[...]