Acute diarrhea is a common affection, among children under 59 months old in Sub-saharan Africa and Asia known to be a global public health concern. It is responsible for significant mortality in developing countries. The main purpose of this study was to identify drivers of acute diarrhea in mothers of children aged 6-59 months in Kinshasa households. This study was conducted in two health areas in Kinshasa namely Centre Supérieur Militaire Mobikisi and Hopital Militaire Central. It is a cross-sectional study of analytical type having a correlational design. In fact, 114 mothers having children aged 6 to 59 months old who had experienced at least three diarrheal episodes were selected and this research was carried out in January 2020. Independent variables were socio-economic factors and dependent variables were biological factors. Descriptive statistical analyses of which frequency and percentage were performed to describe the sampling profile. To measure the strength of association between different variables, the Pearson's Chi-Square (X²) test was used. The findings showed that 57% live in a high socio-economic environment compared to 43% who have a low socio-economic environment responsible for the occurrence of acute diarrhea. It was observed that 67.7% of participants knew the importance of access to health care services, compared to 32.3% who did not know. Meanwhile, 50.8% lived in a healthy environment versus 49.2% who had an unhealthy environment. Furthermore, 53.8% were in an acceptable demographic and biological situation, compared to 46.2% who were in a precarious demographic and biological situation. Acute diarrhea in children aged 6-59 months is one of the causes of morbidity and mortality in Kinshasa city. Obstacles to effective care are related to the lack of quality service provision. Policy makers must therefore put in place interventions to address these challenges in order to reduce infant morbidity and mortality in this area.

The healthcare access is fundamental rights for every human being. It is Governments responsibility to provide good healthcare services and infrastructure to its citizen. Since last few decades, Government and healthcare industries are struggling to minimize the adverse events impacting people health due to fake medicine. The world health organization also predicted that 4 out of 10 medicines in developing and poor countries are either fake or potentially adulterated. Counterfeit drugs cost billions of dollars deficit to world economy and reduce research and development (R&D) funds allocation from organizations. Stopping counterfeit medicine into supply chain is main challenge for Government and regulatory authorities. The Government and regulatory authorities are now making stringent guidelines to prohibit criminals and counterfeiters to supply fake medicine in markets. Healthcare industry need stringent regulations and secure technologies provide sage and authentic drugs to patients. The FDA has published the 10 years roadmap to implement the drug traceability in United States. The Healthcare Distribution Alliance (HDA) has also mandated to print several barcodes and human readable data in product packaging hierarchy. The FDA is participating in pilot project with leading pharmaceutical drug manufacturer and wholesales to use blockchain technology in interoperable digital network for securing digital traceability data transfer between authorized trading partners.

Background: Everywhere in the world, Pregnancy and birth possess a risk to the life and health of women and newborns, regardless of whether a pregnancy was intended or unintended. The level of risk depends on a woman’s health before she is pregnant, her living conditions and the care she receives during delivery which is aggravated by lack of access to maternal health care services, leading to increase in the magnitude of death from preventable health problems. This paper therefore diagnostically assessed health promotion strategies for increasing access to maternal healthcare services in some remote districts in Anambra state. Methods: The study is a cross-sectional study and utilized a structured instrument which was validated by three experts in measurement and evaluation and health education and pilot tested on 20 pregnant women using test-retest in Ugwunagbor Abia state. The reliability yielded 0.84. Percentage, mean and standard deviation were used to answer the research questions. The population was 620 confirmed pregnant women from 4 to 9 months in the area of study in health centers in the state. A sample of 60 participants was selected using simple random sampling technique. Results: Findings show that antepartum, Intra-natal care, puerperium and family planning cares were prevalent in the local governments under study and that access to skilled delivery was associated with age, educational background, number of children and income level of the mother among other findings. Recommendations and conclusion: The researchers therefore recommended that there is urgent need to build healthy public policy, create supportive environments amongst others which can add to the effective measures of reducing maternal mortality in the longer term.

This work details how the integration of cloud computing and advanced data engineering can innovate and reshape patient care and digital infrastructure. In the healthcare sector, cloud services offer the necessary support to generate digitally-oriented services and service kits. These services can contain high levels of availability, low levels of latency, and on-demand scaling capabilities, while following the strictest data protection laws and regulations. On the other hand, these services can be combined with data engineering techniques to construct an ecosystem that enhances and adds an optimized data layer on any cloud environment. This ecosystem includes technologies to acquire, process, and manage healthcare data while respecting all regulatory obligations and institutions and can be part of a comprehensive digitalization strategy. The objective is to augment the healthcare services that the industry offers by leveraging healthcare data and AI technologies. Designed services, processes, and technologies can be described either as industry-agnostic services or healthcare-specific services that process and manage electronic healthcare records (EHR). Industry-agnostic services offer a set of tools and methodologies to conduct optimized data experiments. The goal is to exploit any variety, velocity, volume, and veracity of medical data. Healthcare-specific services offer a set of tools and methodologies to connect to any common EHR vendor in a privacy-preserving manner. Participating companies are thus able to hold, share, and make use of healthcare data in real-time. The proposed architecture can be transformative for the healthcare industry, opening up and facilitating experimentation on new and scalable service models. The transition to a more digital health approach would help overcome the limits encountered in traditional settings. Limitations in the availability of healthcare facilities and healthcare professionals have underpinned the increasing share of telemedicine in the care process. However, the record-keeping of the patients that undergo care outside of traditional healthcare facilities is often missing and can severely influence the continuity of treatment. Identifying new methods to implement disease prevention and early intervention processes is crucial to avoid more extensive treatment and to support those on multiple line therapies. For chronic patients, having a service available that monitors the state of health and intervenes when parameters go off the wanted range is crucial. However, the same patients are the most under the influence of the decision of care providers; a second opinion might be given remotely which the patient can access at any time on-demand. To address these different kinds of services, an ecosystem composed of a dictionary's worth data layer is outlined, able to live and operate seamlessly in any cloud environment. This future work's envisioned outcome is the rapid evolution and re-definition of the European healthcare landscape.