 I would like to welcome you to this DHS2 for LMIS course. The learning objectives for this course are to understand the general structure and characteristics of a public health supply chain, understanding and describing the LMIS features in DHS2, and the ability to conduct a high level of assessment for implementation. So what is DHS2, LMIS, and how is it used? First, discussing public health supply chains. Those working in public health supply chains view the supply chain as one among a number of different interdependent systems for service delivery, for information, for human resources, finances, communication, and behavior change that together comprise an integrated health system. The supply chain is focused on delivering medicines and other supplies that enable the health worker to meet a client's or patient's health needs. This is a very broad description of public health supply chains and focuses on the need to improve the quality of health needs. The distribution models in the supply chain generally start from a central medical warehouse and is distributed down to regional or district levels all the way down to facilities where patients are treated. The public health supply chain generally mirrors the structure of the health service in country. Forecasting in a supply chain can be done using different models where forecasting is done and orders sent from facilities to an upstream system. Another model can also be using vendor managed inventory where shipping facilities send orders based on consumed stock and other models may also be present. Regardless of the model, an important aspect is to have correct consumption level data to inform the demand. One key aspect of this is avoiding the bullwhip effect which is generally distortions within a demand system when incorrect assumptions are made on the amounts being consumed. This is one of the key aspects we try to reduce by having correct consumption level data. Different systems can be used for managing supply chain from an ELMIS, an electronic logistics management information system focusing on the data, to an ERP, an enterprise resource planning software which has much broader functions and incorporates finance in other aspects. Some of the specific functionality of the central software is warehouse management, procurement management, distribution management, and transport management. When assessing the need for an LMIS, integration and interoperability with other related systems should be considered from the start. This will influence decisions on basic components such as system design, reporting forms, and the alignment of different types of master data. Common challenges when implementing this type of system are having siloed programming or activities where the system is implemented within a limited number of programs or a single program. The use of paper-based management which is oftentimes present at the last mile of supply at the service delivery level. The lack of integration between existing systems systems that collect health or logistics data or operating across programs do not share data with each other and the issues related to data quality both completeness accuracy and also timeliness of data. Now moving on to DHS2 LMIS features. These features are focused on the last mile and the service delivery level looking to digitize and integrate data into a central ELMIS or ERP. The first feature being stock reporting using the DHS2 aggregate model. This allows for stock reporting on a daily, weekly, but generally monthly basis and allows this data to be integrated with a central system. The next feature is a transactional stock management tool using DHS2 Capture Mobile. This allows for transactions to be captured when they happen for each item providing an actual real-time stock system whenever the application is synchronized with a central server. There's also a tool for remote temperature monitoring capturing data from a Bluetooth temperature monitor and connecting it to the Android captured device and also integrating this with a central server. A biomedical equipment lifecycle management program which allows for managing different types of equipment including cold chain equipment from the moment it's installed capturing alerts, managing status, service and repairs down to its end of life and disposal allowing for an integrated and complete stock card for that item. There's GS1 data matrix code which allows for different applications including track and trace and anti-counterfitting. These allow for reading and parsing GS1 data matrix and integrating it with relevant databases for these functions. A simple product management catalog which gives product information for the user holding and issuing these items and finally integrated analytics and performance management dashboards. These allow for users at any level using DHS2 to see custom and targeted analytics for their products and activities allowing to bring decision making information into the hands of the people collecting the data. Building on analytics and performance management we're looking to then improve two specific outcomes. The first is that of health program management by comparing both health data and stock data and showing any potential discrepancies in the number of patients treated and stocks used and looking for ways to improve program management. Second is that of improved supply chain management by using accurate consumption level data to improve demand planning and forecasting. With the use of consumption level data there is a reduction in the amount of demand amplification and potential distortion which otherwise happens when using previous orders or upstream data as a surrogate for consumption. This way there is a reduction of stockouts and medicines available for patients who need it. Lastly assessment and planning considerations. An initial landscape analysis should be conducted following these and other questions which will inform the current state of the supply chain and the supply chain information system. A DHS2 maturity assessment will also inform the ability to use and make use of the existing DHS2 implementation to support the LMIS activities. Making these considerations will help identify which of the specific features previously mentioned will be best adapted for improving the supply chain and supply chain management. Bringing the data from this last mile to the centralized system making it available to decision makers. And of course financing and budgeting are important aspects to ensure proper resources for conducting this analysis and assessment, developing and designing an implementation plan, being able to pilot and eventually scale up the solution and then having resources to maintain capacity over time and support any eventual integration or interoperability. Recurring costs that will happen following an implementation are also important to give the project sustainability. In summary the LMIS features in DHS2 can be used to support digitization and information management in the health supply chain. It can help to bring end user consumption level data to a centralized system. Making use of these different features can help to support both supply chain and health management in country. Thank you.