Posters

The aim of this study was to assess the performance of the warehouse and inventory management practices since the implementation of the health commodity management information system (HCMIS), executed by Tikur Anbessa Specializes Hospital (TASH). Mixed method research designs using quantitative and qualitative methods were used in this study. Descriptive and inferential statistics was used to analyze the quantitative data for which Microsoft excel and SPSS version 20 software were used while thematic analysis was used for the qualitative data.  The findings show that there was a significant improvement in order fill rate, line fill rate, inventory turnover rate, stock wastage amount and rate, and order turnaround time with percentage improvements following HCMIS implementation. Qualitative investigation revealed that the HCMIS had brought many advantages through real time data visibility and information sharing.

Improving the health of Nepali citizens and supporting the country's National Health Policy and Health Sector Strategy 2015-2020 has been the primary objective of USAID's Global Health Supply Chain Program-Procurement and Supply Management (GHSC-PSM) project in Nepal. The project aims to reduce health commodity stockouts and strengthen health systems, infrastructure, human resource management, procurement, supply chain management, and health information management in rural communities in Nepal. The award-winning cloud and mobile-based ERP platform of Bileeta "Entution Vesta" recently became part of USAID's GHSC-PSM project to streamline the health commodity supply chain management process; it reduces manual paperwork involved in the inventory management, communication, and approval process and becomes the central access point for real-time logistics status. Entution Vesta is also linked with mobile apps, which ensures that everyone involved in the process, from central procurement to last mile service delivery point including midwives, are well equipped with information to make timely decisions to serve the community.

Success of UHC programme in Kenya is dependent on timely availability of pharmaceutical products at the facilities. Currently there are no plans to assess the challenges faced by counties regarding the logistics of supplying pharmaceutical products. The study utilized both qualitative and quantitative approaches. The population was drawn from Nyamira County with 120 health facilities. The study adopted a questionnaire for gathering data. Key findings clearly indicate that there was no proper selection supports system that ensures the high quality product selection, appropriate quantity of the product to be selected and the need satisfaction of the product also the County drug policy document are not being used irrespective of being a very important document, procurement support system was discussed to check whether it accommodates the element of planning in terms of budget and supply planning however, the one in place is not effective in the County, forecasting and development of a system using dispensed user data in the procurement support system in universal health coverage is not effective. Findings revealed that medical practitioners are even not aware of distribution data in the issue of the procurement support system and are not even aware of forecast being done using distribution data. The study recommends a logistic management information system to be implemented in the facilities the system for pharmaceutical logistics management to enhance performance of public hospital in Kenya.

The convergence of unsolicited non-priority in-kind donations has been coined as the second disaster wave. It hampers the delivery of critical supplies to disaster-affected locations and obstructs efforts in meeting demand with supply in humanitarian emergencies. Based on eliciting the opinions of two expert panels, the present research puts forward potential combinations of supply chain configuration-strategy that allow better management of unsolicited donations in different disaster scenarios. Using resources orchestration theory, this study identifies supply chain capabilities and related practices needed in each combination. In doing so, supply chain researchers and practitioners can prioritise the most relevant supply chain capabilities, considering the constraints of the prevalent conditions.

Zenysis Technologies is a big data and artificial intelligence software company based in Silicon Valley dedicated to accelerating global development goals and improving lives everywhere and is led by software engineers and data scientists from Google, Amazon and NASA. The Zenysis software takes advantage of powerful open source technologies, machine learning, fuzzy logic and artificial intelligence to rapidly integrate, clean, standardize and store data from multiple fragmented sources across sectors, giving decision-makers a global view of their data for the first time. The Zenysis platform is highly flexible and extensible and can be quickly configured to meet the needs of a diverse range of users at different levels of the health system. Zenysis has already implemented its platform in ten countries across Africa and South Asia where the platform has been tested and validated as an effective tool for improved decision-making.