 Okay everyone, I see participants are coming in to the... Okay, thank you everyone. I think the participants are coming to this session. We are going to talk now about the use of global data or the design of data utilization. This year, we are focusing on how to design or develop DHS-2 for data utilization. Welcome to this full session. I am very happy to announce to you our colleague from OMS so that we can start this plenary session with us. He is the director of the department of data analysis and he has been at OMS for 20 years, working on the analysis and other research. We are going to talk more about this design of data utilization. So, please speak, we are Nath Chatterjee. Thank you Christine. You are all welcome. I am really happy that you can't see my face because you miss something very pleasant. But we are going to start talking about entering the life of the subject, which concerns the management of data, especially at our level at OMS. You know, data is not just for the purpose, but we also want to know how to generate data to have an impact on the health of the population. So today we have to focus on the way we have to use data to measure the impacts and see the profile of the health system of the countries. Our division that carries the analysis of data and the impact has been created during the OMS transformation to be able to have a focus on the results with the collaboration of each of you with our countries and our partners in order to support the ecosystem of data generation by generation to be able to use it well and ensure that data is used in a reliable way to make decisions in order to be able to inform the actions we know to be able to impact people around the world. So what have we done so far? We have put on foot, as you can see, a technical package to be able to manage the health information systems in the countries through tracking systems to account for populations, optimization of data that arrive in health services and in different health establishments that are then reviewed because in the different countries we will be sure that they have exam plans, review plans to be able to allow this data to have impacts. Our first evaluation of the status and capacity of health information systems in the countries we have several reports in terms of statistics that allow us to see the impact that we have on the progress in achieving sustainable development objectives in terms of health. We also have a data depot and we have developed a data hub so that in all countries we can keep the data, analyze them and disseminate them and be able to use them in all countries in the world. Here you see a sort of perception of what we know of the status of the health system and its capacity so that you can see it in each of these areas there are gaps. So the goal of this exercise today is to see in what way the health information systems can be integrated into different countries to be able to complete these gaps that we have. Why? As we often say, what we can't measure, what we can't manage, what we can't learn can't change. So in the different countries, where we have everything to have a significant impact so that the different actors can better manage their health information as you can see it today, with CRBS, the way we manage countries and even see how programs advance. And so despite this, there are always gaps despite the efforts we have made. Now, what concerns our efforts is that we have tried to reinforce the capacity in line with the resources in countries and also by improving the access to data in public health centers so that these data can be used and also we have done everything to support the exchange of data through the collecting and reporting platforms of data so that we don't let anyone account. We also have given the availability of aggregated data to all actors to be able to reach the different objectives and also allow everyone, including the actors that the final users have access to all these facilities. We have done everything so that these systems, this data, can belong to all communities to be able to do everything and respond appropriately to the needs of all countries. What we do then, in terms of the component of the health information systems of Routine, the OMS worked with the University of Slough to put on foot some programs and guides. So we worked with the University of Slough to have access to the health data of the OMS and we have also carried out reinforcement activities of capacity across regions and countries and also we have piloted and improved the implementation of cases of use in all countries to be able to have positive actions in countries. So as you all know, the University of Slough and its network of HIPPS across the world have started since 2018. We have focused our activity on the development of DHS-2 as a digital tool to allow implementation in the countries. Then we have reinforced the capacity in terms of standard, quality and data analysis and finally we have research and operations by sending the best practices in the world to be able to improve standards and to promote the fact that all countries can stop their information. As we have heard since then, our role at the OMS is to develop these standards and these guides and the University of Slough and the HIPPS produce the way of using software and to promote the implementation of the countries while providing their support to these countries in the use of not only this platform but also data across all areas of health. The idea for us is to work as a concert in order to develop this integrated approach and leave health data as a system of health data to be able to provide guide through these digital packages to facilitate access to data through the use of DHS-2. I don't need to explain this map but as you can see, here are the areas where the health data of the OMS has been used in the whole world and there are several countries that use these health data as a system of health data in the world. We must not forget that several countries also use these standards and guides that we have put on foot, especially in terms of COVID-19 and also several have been able to adapt to Android applications. Our ultimate goal, as I said, is to be able to use the data to be able to manage the reinforcement of the systems. We have also encouraged the systems to be able to provide the data and the visualization of the data so that everyone can support and support the use of technologies in an ultimate way, connect the data of the countries with the goals in health care. And as you know, there is an opportunity now with COVID-19 so that we can do everything to improve our system of health data management. As I told you, we do everything to put this platform in place and integrate it into the OMS system and represent our strong relationship of the same as the studies that we put into data. We also have a board table where we show the progress in terms of our triple-million objective to have a significant impact. As I said, we produce our relationship of global statistics every year. And there is also a platform in terms of the data that we have developed for COVID-19, especially. So this was the last diapos. So to conclude, what we want to say is that our partnership with the University of Oslo and all of you as members of the community of the HHSD is to see how we can work as a concert to be able to create a very simple platform in the countries where the districts or even the basic communities can use it and get to a global platform like the OMS to be able to have all the data that we need and also to make all the establishments able to access the data and be able to disseminate it. Thank you for your kind attention. Thank you very much for your brilliant presentation. It's very interesting. We will introduce you to the next orator. We have a professor from the University of Oslo who is one of the first people to be interested in this initiative of the HHSD, so to speak. Hello. We can start. We start with the pursuit of the motivation of this initiative of data visualization. And it is based on the work carried out on this subject in the different countries, especially in Africa, the East and Indonesia. And we have developed approaches to be able to improve the use of data in the districts around the world. We have tried to improve the HHSD platform and its use so that it is easier and more practical. If you see our approach, we have started to evolve this situation and we have suggested improvements. We have identified cases for the use of routine data. We have done studies, practices, and we have also identified shortcomings. We have made suggestions to improve this use. As we know, traditions are very important. The results of research in all these countries are that all countries have routine health management systems. So the use of data from the HHSD can be better than expected, but you can also see the way that the HHSD can adapt very easily to the local health management system. The systems that are in place. Probably because the dashboard that we use may not be put on foot for countries in particular for the different health centers, but as we have noticed, it is that several of these countries use more Excel to be able to record the data. That is why we find that it is easier for them to use the HHSD. So here are the subjects that we have talked about and that we can see the functionalities present in the HHSD. You can see that it can easily be comparable to Excel and it can extract and give Excel. However, if you can only use Excel, it's okay, there is no problem, but we have developed this to be able to do another analysis of data that can even be conformed to Excel. When we approached the data management system in the different countries, we saw that we had to see a social aspect. So we will try to engage the users to facilitate the approach. When we see all the level of use of data in districts, we see that in several situations, the data is collected and used to improve all this. We have worked with the users to identify key areas and improve them. If you look at our next diapo, you can see that we have discussed with the base communities because as you know, there are always meetings of routine where the data is discussed and used in districts, but also at the level of different health establishments. In Rwanda, for example, we clearly see that hospitals and health centers often meet each month in terms of insurance quality and in other meetings on data evaluation, each month, and also meetings of staff each month. What we have discovered together with the participants is that the improvements that can be seen are already in DHIS2, in the analysis and table of board for the city that it is there. So it is one of the means for which you have to focus on the conception of the use of data and engage the users to participate in this approach. What we have noticed almost everywhere is that the target populations of different establishments and the table of boards, districts that take into account all indicators, it is not very possible with the old ways and it is very difficult to put in place this, because the data is multiple and it is the kind of problem that we have tried to solve. In Rwanda, we have set up a data use project where several people or we have developed several approaches to bring conversations with the different ways to see how to improve the data in general and we even set up a WhatsApp group where all districts and health information managers are members and together we have discussed live, especially in three languages. So we have more or less run all the conversations to see the requirements and also to insert the improvements that were there. People wanted us to add maybe colors for tests, polices, among others, formats in DHIS2. We took all this into account and some asked for huge reporting materials, but we did not start from scratch because we are based on their different monthly reports. So we have discussed with the base teams for the developers and also the different actors at the base level. The requirements have been displayed in terms of software development and also in terms of users. So we all worked together with the University of Slo and other organizations to improve the platform. On an analytical perspective of the principles in terms of development or the implications of local population in terms of world development, we see that DHIS2, which is developed by the University of Slo to generate functionalities that can be adapted to all the possible and imaginable concepts. With the requirements at the local level, we saw that we had to improve the generic functionalities that we put in place because it is not adapted to all the possible and imaginable concepts. So this world development has been put on hold in all the countries, but we have developed specificities for the different countries. It is a bit too slow for some people, especially for the international community. So we have to take into consideration this development of users' applications as part of the general development of DHIS2. And it is not new, but what we have to do is to improve the functionalities of the development of DHIS2. And it is not new, but what we have to do is to improve the functionalities of DHIS2. And we have to improve this possibility there. As I said, it is not new. The dashboard in DHIS2 today was first developed. I think in the end, and through different needs there, this has become a general application in DHIS2 and development in Sri Lanka. We are trying to contribute to the improvement. We saw last year what happened with COVID-19 in Sri Lanka. They have developed customer functionalities that were intended to show how to visualize and trace the contact in a network to be able to see the cases and the contacts. This was popular in Rwanda. And this development of Sri Lanka applications, pardon me, these functionalities were integrated with DHIS2 with the base team of DHIS2 at the Osleigh University. We are now using it in several countries in Rwanda. One minute to be able to finish it, please, to allow others to be able to do the presentation. So next diapos. Here, it is still a summary of difficulties encountered and specific requirements that we have identified are linked to the problem of local civil population and the data of the nominators. And I think we are going to talk about it in 30 minutes. So we will come back to that. And another problem that we have encountered is that the board tables are not necessarily the best approach, but we are based on the standard practices in terms of norms in the world. Thank you very much to everyone here. We have talked a lot. So we will see what needs are needed at the local level and in the spectrum of the systems put on foot and the use. The goal is to improve the use of the routine and the practice. Development of DHIS2 globally was also requested. So we are trying with this system, in order to reinforce our network, to set up a concept that is not new, to set up practices that improve the system. So in terms of improvement, DHIS2 has been trying since the beginning to set up an activist foundation, that is to say, to set up an important local way to have a global impact. So we also set up a system based on certain specific areas and with the obvious information that pushes us to do research on the basis. We know that we are looking at it globally, how we can develop our capacities and actions. This is very interesting. We are developing several sectors. You can see it in the following diapositives, how we are trying to do this in the educational system. We will also see a few examples in the world of security and others. We also see the domain of innovation. When you have seen it in the diapositives, we want to ensure that the process meets the needs that come on the field. So we are trying to set up an analysis to improve the system. What are we trying to do here? We are trying to see the different aspects of the development of data. How can we develop the capacity in the development of data? So I would like to pass the floor to our colleague from Uganda who can give us some examples of the development of data. These examples come from our training. There are a lot of people who work on different levels. It's just a few directions. How can we set up these concepts that will allow implementation and that will not be an obstacle to have data? For example, in order to understand the implications in the configuration, we have seen some aspects of the impact that were not only on the users, but it has also been visible. We also saw how we can improve the quality of data and make it easier at all levels. So we are going to take out of the domain how we can impact our data, our data users. Without having time to see how we can set up the formula. So there are several types of formulas that we can set up, that is to say an electronic system. And in terms of developing the capacity, we are seeing how to define and identify a good design of formulas in practice, in principle, in practice. And who deals with the already existing situation? So all the questions of integration, how can we avoid certain incapacities? We have to do everything to avoid some variable that is repeated at several levels. So it's something that is also simple. The approach that comes is what we do to improve and apply the information. So we also have to see, in general, how to maintain the system, the maintenance of the system, in general, of DHS2. We see in the opening plan how we can set up analytical functionalities with DHS2. We must be able to maintain the general maintenance system in all countries. We see situations, that is to say the configuration of the organization units and the impact that this has in the configuration of the data. You are ready because the next session will talk more about the data. And we see how the organization, the configuration, also allows you to share the data. That is to say the sharing is given at all levels, you share the data. We want to make sure that the data is used at all levels, that the good person is given properly. So that, it is linked to the sharing of the data of the different organizations that can follow. So we see the quality of this data. So all this is based on the concept of the use of data. And we are also going to talk about the evaluation of the development implementation. I will pass the floor to my colleague, Dr. Prosper, who will show you how innovation is trying to improve the system for us. So you have the floor, Prosper. Thank you very much, Helen, for this introduction. Thank you very much to all of you who joined us. We want to share some of the innovations that we have had to do in general from the HSS2 platform. Next slide. So what we see is that HSS2 is also doing a great job by trying to put in place the data in the system. And on your general level, on your individual level, the way in which we can make data in the system. So for Uganda, we have tried to see the access as one of the ways to be able to promote the use of data from the country. So having the data and putting the accessibility of people. So that was a few times by this challenge. The initiative that we saw at the beginning is what we used in the development of the HSS2 platform. It was first, we tried to put in place what we are putting in place. That is to say, how much you can have the HSS2 system with a level of data on the internet at a minimum requirement. The HSS2 will allow us to use several users. So they telephone and have access to all the data. And we have also seen that this system has allowed to use this at several levels of decision and also at a national level. It has a very, very, very low cost, very good. So we see this over time. When we had a COVID surveillance, we also had to implement this HSS2 system that was really beneficial for us. So this was an initiative that was supported by partners, especially if the government and the ministers could give it. We know that in one way or another, with this kind of service, the communities will have more accessibility to this service and will be able to give at their own level. Also at a local level. We also tried to introduce a report system through the semesters. The notifications, the different responses, the replicas. We saw that this had really been taken into account and the different notifications were sent by others. Also for the most important surveillance, what we do, our analytical research, we are able to get information through the notification base. We also have an SMS that helps us in the transmission of reports by the community, the employees, the districts. They are now transmitting this report to DH2 and this makes a very low cost for the most beneficial. Also, we saw in the use of data that we were able to get this report. And also, our introduction of DH2 for education in Uganda. After seeing all the defeats, we decided to evaluate the access. We put in place an initiative, that is to say how we can have a quick payment for the health of the districts. We went further in the implementation and beyond the district and it was shared in different departments. And in other areas, outside of the health, how can we put in place the pre-paid connectivity system and you will see how this connectivity can be used. So many people put it in place and they saw how they can visualize the data in the health sector and others. Here are some things that have promoted access in the use of this system of data. Also, when you see the use of data, you try to see the HHS2P to see a single general photo of the data while we are implementing it. So we had the reports in a fast way at the level of the districts and we saw that the collection of data in a regular way made the analysis more accurate. The image that you see is one of the quick implementation teams of the HHS2P that have been mobilized. And we started with the tracking of the VIH2P and how to follow some of the diseases. This allowed us to put in place this tracking data. We were able to do this using imported data, more in a generic way and we can return this to the normal way under the applications that we have at our disposal. So with the tracking system, we have collaboration work with the national data system and we have been able to implement in a regular way the HHS2P system at a different level. Also, during the COVID pandemic we saw how several challenges have been raised easily. We also had to have several requirements in the decision-making process. Regarding the presentation, we saw that several users, several people were able to put in place several types of data information and data in general. The analysis that was done to support the analysis we are trying to put in place this session that allows to use different areas. With this application we are able to have real-time data on the board tables. So here is as you can see the data notifications in real time. As you can see, the results have been more implemented in different areas like education. As you can see the people are getting closer and you can see the different data in real-time. We also want to improve the system and promote the use within the health system. For example, regarding the COVID surveillance system we can put in place a system that allows us to monitor the travelers also for the vaccination we have seen. We have developed a map of vaccination and certificates that allow you to travel all over the country. We know that the use of data is a field that we have to promote and this can be done in a generic way. The different ministries, the different actors involved in the field can see the importance of this in the health system and promote the use of data. The next slide is the last one. So in the promotion system you can see the data in the innovation system before some HIS-2 sectors where we try to use the system for education and health. This has helped a lot regarding the education world. What you see here is the companion in our speaker. She starts this with the vaccination of the children who had a place for them in schools. More than we have the data of schools we can also transfer this data synchronized in the health system. We have also been able to integrate the COVID surveillance i.e. utility and surveillance for the vaccination system. As you can see the teachers receive the data which is compiled in the education system and we use these two systems to promote the data. Thank you very much I think we can now thank you very much for this we have been able to capture what you wanted to show in the use of data. Today it is really a good meeting and as it was at the beginning and for the last few minutes I would like to pass the floor to Paul Bondage who will talk to us there is a general feeling of what we have to talk about of how we can work and build the system and HS2 to use the availability of the data so that I have the opportunity to talk about this community over the years the information of the data is very important and we all know that we need this to reach our goals and to have innovative means to put a system in place to improve the result of the data that we are talking about the treatment of the accident and over time we have seen around these experiences these experiences are not always organized so all these opportunities are not always managed in a coordinated way so people are occupied working giving patients the best they can and do not really understand the importance of innovation a lot we are trying to see how all those who are supporting this system can improve over time we are going to say this following the work of the community that we are doing at different levels also at a lower level there are several people who have developed the means by which they take care of patients through information so far we have had several community members who represent several countries we have had these countries who have commented to put in place the use of the data of DHCS2 also of the system and in some cases we could respond to several needs in a specific way and we have seen that at different levels we have been in the process of developing and sharing a network so you are going to see a lot of information from several people who are representing the system the ultimate way the general way we see how people are identifying documents which allow to put in place a more general and more complete work we know the use of the data of information of the next steps so we are seeing a set of activities that we are doing to put in place the use of community each month we have a meeting with several practitioners sharing their data by different parts of the world they are developing a model a short term a medium term an interaction with the others we are writing a number of innovations that we have to put in place in different countries so as you can see the general way we hope new tools new approaches new innovations will emerge from this experience so last one if you are interested to know how to use it the use of data we have another email and also see how we can work together there is a place where you can see nothing and you want to join in an easy way so you can also work in a faster way in terms of this system whether in the educational system or in the other systems I know there are questions that come thanks a lot Paul, it's really interesting different levels I think we still have 2-3 minutes so thank you very much for all the presentations it was really an interesting session we wanted to give a brief summary of what we have done in the last few years what we have had to innovate what we have had to do in a way to collaborate in a positive way so we don't have the time to present everything but it's one of our great projects now I think if you are able to join the different groups of different practices that have been put in place that is to say how to put the data system in place so we can increase the challenges that we have also innovative solutions that can support the use of data so we have the next session but we have several sessions today in which we are committed to several sessions that come in a few minutes we will also have a research session or we will talk about research projects so welcome of course there are several other sessions we also have a session that will talk to all of you we have had a good time so I think we will end here and we will see you next session goodbye