 So we're going to go ahead and start this session. I know some people are still wandering in. No problem. Let's start the session. My name is Rebecca. I work in the HSD implementation team. I'm here with my colleagues who are going to share the experience that has been going on for several decades. Since 2017, I've been doing a session in the center that we don't have the MS in relation to health information. So there are a lot of colleagues who are going to join us today from the different institutions in which we work. What we do, we're going to share the resources that make the data much more efficient. We're going to focus on governance and other mechanisms that make this system possible. We're going to focus on the targeted lessons and the tools that we have adopted to support the task. I'm going to introduce Nora Stoops. She works in the framework of MIS Integrate. She has worked as a nurse for several years. She has been in the post office for several years. She supports many countries for several years. She is going to share the lessons that have been taken over the past 20 years. There are also lessons that have been taken over the past few days. She understands the lessons that have been taken over in the context of what is happening in her life. I know that in this presentation, we are supposed to give quick messages. But I think we need to explore the problems. These are some of my thoughts. My thoughts that show how a system of regional health can play. We can see that this pattern is changing, that the interpretation and reports are changing. This is a special thing. You can understand that. There is a system that doesn't work for them. The system traditionally works for the inflexible system. MIS changes the data every time. Every time, we are in the old systems. We take into account the resources and the disaggregation. What are we going to take as the factors before the operation of the RHC? This is the application of the research method in the environment of the health information system. The data of the TIC, PDME, and the long-term management. Be careful because they look very beautiful, but there is a lack of data on clinical care. For the diabetic patients, how many diabetic patients have you seen today? There is not only the question of the management of diabetic data, but also clinical data. We need to review the automatic way. We can also compare to the notation system. There is everything that is taken into account. If you can take something, you have to use it carefully. First, you have to proceed with the data collection. You know, because of the structure of the RHC-S2, we don't have old data that go over the surface. If you enter the house without anything, you still have to start with this data collection. The health information system is the cornerstone of politics and planning information in the country. The district or the information system on health management allows us to control the implementation of this change, to translate politics into action. The health policy has been in place since the national and international levels. When you give your data in a regular way, we talk about RHC-S2. What is decided for the 6 is translated by the collection, the compilation, the analysis, and the communication of data in the local information system. The 6 RHC-S allows the district to evaluate the implementation of the goals, indicators and targets based on the plans. These are strategic, operational and annual. Now, for the principal, the directors, you need to use the names of the WHO in terms of routine data. Now, what the WHO puts into our disposal, the question is, where does it come from? It's normal. There are, for example, huge standards on pallidation. Now, what are the principal's principles? We have to look at that. You don't have to collect the data twice. If you collect it in a regular way, you don't have to do it in a regular way. You never have to ask for the total. You don't have to put the total in a regular way. You have to know what the wrong numbers are. Legally, this is based on a minimum amount of data, while the less, the more. No collected data that doesn't belong to the derivative indicator. So, I'll give you some examples. There are a lot of indicators and objectives. As much as possible. The RHS is ready to collect data from the derivative. The two administrations, etc. You can include the scientific demands of the programme when this is possible. Now, for the relative data, it's very difficult to collect. It's not very easy. Now, what does a RHS performance look like? It's a collection of data used for indicators and objectives. Disaggregation by sex. Except if it's crucial. But there was a controversial subject in the matter regarding gender. The campaign data and routine data are separately related. The campaign data will be collected in their boxes, in age codes, in other data. If the population is at the lowest level, it will be collected by age codes. In so many countries, you know, people say, no, we did it, we did it. There are only five years left. And you don't know the client's intention. You have to worry about the livable. What happened yesterday? There is one of the countries that asked yesterday, for example, if we give food three times a child, and they didn't answer. But no, we add three times a year to keep the evolution and not ask questions about the interventions of the client. You have to think about the utilization of other types of data to complete the existing data. You have to... Now, you have to see the quality of the data. If the data is not usable, you don't have to use them. The quality of the data is better when less data is collected and when a new tool is collected and is introduced, you have to review and organize three or four months later to see what has been collected. You also have to examine all the data errors that are often caused by misunderstandings about the wrong interpretation because there is still a risk that it will be reproduced again and again. You have to be able to keep the storage of data every year. Can we collect data for each year in the HHSD so that we can correct them? How can we correct them? We take into account the statistical variation in relation to the identification of the data. So, what is it? The RHS tool, the MS, as a number of routine data, SEGI, there are several of them. But here, we have done a work in a country in West Africa and we have tried to reduce the data collection tools. These are the tools of the MS. I helped Somalia with the HMIS revision in Somalia. We used a lot of U.S. nations. And the reduction of the costs for the U.S. nations was too complex. We reduced the waste by age as much as possible. We revised the formulas for hospitalized patients. We took the information to be able to be revised because hospitals spend more money on this. Now, I'm going to end with this diapo. I'm not going to read because this diapo speaks of itself. We have to make sure that we use the resources in the right way and make sure that we do the right thing. That's all I can say. Thank you so much, Nora, for sharing your decades. Thank you very much, Nora. We will share this with you. We will welcome Dr. Loetina to do the presentation on the indicators of the new year. Good evening, everyone. Thank you, Nora. Thank you again for the opportunity to present this conference. I'm going to present the names of my MPROs colleagues in relation to the amount of data on the new year and the dead and the preliminary results of the MPROs study. We will be back in Tanzania in Uganda. I put this photo where we will be called. Here is the list of my colleagues. This is collaborative research. There are colleagues in London. There are colleagues with African-Americans. There are colleagues in Italy, in Central Africa, in Ethiopia. And if you will, there are also academic partners who are in Tanzania, in the United Kingdom and in Uganda for the McCurray School of Public Health. We are going to see something. This afternoon, I have to say that we are recognized by our International Council at the University of Louis-Royce. I was saying that we have four things during this session. Why do we have access to the new year at the birth of a newborn and what are the new tools for the new year? There is a mini and it teaches us about the phase one of the study. It is important that there is an intervention for phase two. First of all, the date of birth. There is a month where this date of birth and the message here is that the number of newborns is inevitable. Evidently, it remains inevitable. The baby dies every year and a nine-year-old baby who dies after birth. So, for the improvement of the data, there are actions to be carried out. And this is very important. You have to think about how is it possible to help improve the data in relation to the death of the newborn and the death of the newborn. There are some 105 countries that can be studied. And we can see that it varies from 20% to 40% for newborn interventions. We have to make sure that it is part of the ODD. So, you have to take it as a priority and take actions in the matter. So, the measures of each newborn need to develop red leaves. So, first of all, each newborn needs to do the research on the indicators. And secondly, the measurement of the relative indicators of the newborn and the death of the newborn. And finally, there are studies to be shared with the others. But here, it is a question of the data in the TI program and the responsibility to be able to measure the number of newborns and the number of people who die after the birth. So, what are the new IN mini tours? In reality, this is on the website of USAID. There were collaborations with the teams in Bangladesh in the years of London School in terms of data. So, there were two versions of this study. We have the data of different sources whether it is the basis of the population, of civil registration and the IN mini tour helps to optimize the data of the routine. The data can be used to measure work, politics and actions. So, this concerns the question of the data parameters. How do we use the data that we register in the third phase? It is that it helps to improve the data collection of newborns and also to put necessary political places in the matter. And now, to support these directives we use several means to present. There are three domains and several subdomains or several tools. I will show you the tool cartography. Here are the tools and the missing ones. Now, there are the indicators that are already on the table. But the countries can add indicators as long as they have a capital sense. Now, there are summary formulas and aggregation registers. And also there are cartography. You can have it in Excel and in editable versions. So, I will share the results with the others after the study of Impulse. The use of data is a circular domain. And you have to consider the functionality of health facilities at a national and international level. And you have to consider that it is the same thing. There is also the question of algorithm. It is a question of evaluation that began 10 years ago to evaluate the HRIS to write down the indicators about birth for a city like this. So, I can show you the framework to improve the health system and how does the system contribute to this? So, here are the inputs and the results. Here is the general framework as you can see on the screen. Now, the tools are used, there is a framework and this helps us to hear the users in relation to the routine data. There are the two improvement tools to evaluate the routine data. So, when I say that we have tried to automate is to say that we have updated the tools and we are sure that it can be downloaded by the software and register the data. The software generates the tables that you can see but this one gives you the numbers in relation to your relationship. In relation to the I&Mini tools that we call I&Mini tools there are data collection platforms for the national level, the national infrastructure, but there are also actions for the new I&Mini tools that have three categories and you have to make sure that it has a straight line with the score of the I&Mini tools. Now, what are the lessons drawn from the I&Mini tools? I will show you the team here is our site to follow the progress of the I&Mini tools. The team started with a systematic review regarding the quality of the data of the new I&Mini. We have registered 19,000 tools and we have registered only 34. It is a question of registering of aggregated data and routine. And the quality of the data is also questioned, but when you do it, you have to make sure that it has a certain consistency and a certain exhaustivity. So, the elements of data are important like the countries where research is carried out, the age of people, and so on. In phase 2, I will show you the results of the phase 1 today. These are the results of four countries. I have not paid for these countries before, the Central African Revolution, Luganda and Tanzania. So, if the representatives are there, I would like to meet them to have a conversation. So, I went to 146 sites, either Calvin 16 Sanitary with different levels. There has been more people visiting until today. So, I read the ian mini 12 for phase 1. And the goal is to be able to categorize the figures and the systems that already existed. And that is the report that I showed you earlier. I will share the examples of countries like Tanzania and Ethiopia. Here, it is the relationship of cartography on the basis of the HSU system used by the two countries. Here are the indicators on the left extreme. There are the indicators available or not. So, you see, there are not available. There are other indicators that are much more available in relation to this section number 5. So, this is looking at among you registered not collecting more data than you need. So, the data is used as an indicator in relation to the normal of the OMS. For example, there are more data registered than in Ethiopia. Our second objective is to evaluate the indicators. We have just a couple of registers and also the notes of the cases. In reality, there are data that comes out of the registers. So, there are more columns for what concerns the registers. Here, here is the example of the notes. We call them Kiznot in these countries that were used. So, we need to make sure that we have two types of data that have links with each other. When we have the registers, we also need to take notes or documents where we can register the notes. But in relation to InminiTools, it is available in English and Swahili and in French. But it is also in American. In American. So, here is what we have of this tool. Now, in relation to the quality of data in the register, there are two denominators. We need to measure the total of births and living births. So, when we leave the electronic system of the six, there are registrations in the digital files and registrations on paper. It is also to determine the quality. We were on several sites, as I said but we needed a constant consistency, but it was it allowed us to see where it was missing and how to get out of it. But at least 8% of the people who answered answered by the affirmative in relation to the use of different indicators to have the best data. But now, in relation to case notes, there is a new tool and there are variables used for clinical information to free the patients at the hospital. There are clinical information that are used for the newborns. This is usable. We saw the information for the children or when we made a comparison you can see. We see the differences for what concerns this data. We also try to see the use of data. We see how the case notes affect the quality of the data. There are other determinants for what is the improvement of the quality of the data. We saw that districts have a better quality in terms of data at a health level. The objective of the death phase is to understand the use of data. So there is a colleague who is working to implement it in the Central African Republic. I'll show you now this capture to show you that there is a lack in the capture data for the use of data. There are about 74 who are covered to be able to collect the data. For what is data at the health level we see that the figures are relatively low compared to districts. Here we see schools and there are very low there are 40 to 70% of data that we managed to collect at all levels in the school establishments. The goal is to analyze the technical, organizational and behavioral factors to improve the indicators of data. I also remember that we are talking about the framework what concerns the entrants. So when we take into account the question of promotion of information culture there are 10 components. We talked about lack of information on the decision based on evidence and this is because the figures are relatively low in these two countries compared to the availability of resources we will talk about it later everyone has a register which is very encouraging when we see the availability this reduces when we take the tools and when we take the data on the paper there are differences by using electronic data it helps a lot also we have seen the question of the availability of the internet there are several days when the month is generally empty where the computer data we did not access the computer data there is the question of human resources we already planned but as you can see already on the screen everyone is not formed to register the data that is to say it is electronic data in relation to motivation also here is one of the schools where we are going to take the data there are 60 to 80% we answered that they were motivated to participate in the study and I would say there are other opportunities that have been offered to collect data in other schools and we have tried to work in the most effective way possible there is the question of lack of skills and confidence there are several scenarios that have been envisaged here is the example of the Tanzanian we have seen a lot of lack of skills between confidence and skills there are lack of 40% so in this world what needs to be changed for the moment there are very few who are listed but we want to ask to the users and health professionals what they want to change exactly for the moment we continue to learn I read the model here to be able to verify the lack of organizational, technical and behavioral to improve the data we still need to remind ourselves that we need to have a lot more respondents to be able to work on to have reliable data as I told you our goal is to improve the quality compared to the new ones so first of all we used Yanmini2 to see the current situation for the data analyzed quantitative data qualitative data and on this photo you see the colleagues who work presently with me but I would like to ask you what is the intervention for phase 2 I know that several are thinking about this for years at any moment we want to implement tests we can do the tests in different ways so we want to develop a group of advice and we also welcome the HHS community so there are some questions that we have to know first how can we show that we press the health agents of the first line to give them the data because there is pedagogical material of the first line we can use the data that they already have in the study of visualization visualization of the health data for the existing data is there a gap to take into account all the variables but now the question is we will reinforce the culture of the information we have to obtain the data but there is a poor culture of the information we will have to inform how to have the right environment for health agents to take care of the others also to register data so today I think I talked about the importance of data so whatever you do how can we reinforce what we already have there are the IN mini-tools that are available for each of you I shared the lessons of the first phase with the different colleagues and I invite you to help us determine the interventions for the second phase each of you and participate in the first phase of the study and the partners who are funding us, thank you very much thank you very much Luiz I appreciate the abstract it was it affected all the questions that were raised there is a lot of history about the impact of the use of these routine data I think we have to pay attention to the rationalization of these routine health information because they are expensive not only in terms of connectivity but also in terms of health agents if they are for example collecting data that are not used to make more decisions it is a waste of time so without lessons that are taken I will invite our colleague who also has a clinical background who is with me our expert in the implementation of the HS2 thank you very much Rebek I hope that you listen to me you are very inspiring I will upload the attributes of the health establishments we will see why this we must not leave the first positive if you please we will see how this aspect is considered to be integrated in the routine health information system for the improvement of the performance of the performance indicators when we talk about health establishments these are something that we have seen during the presentation during the review of the strategies that we have here so this type of information are information that are collected by different platforms in different programs and today we will see why it is really important that everything is integrated in a system of health information routine here what are the attributes of the health establishments for example there are information about human resources and the availability of personnel of personnel training the availability of services and the presentation of services so without information that are known about health establishments so the information that you can analyze are the data that are collected that come from directories and through other programs here is an example of what is collected the availability of infrastructure the availability of internet electricity and the preparation of our health establishments and the preparation of personnel for the emergency and the availability of services specifically how the data are collected there are already standard tools that have been agreed by the MS for example HFAA an investigation in different countries information that are collected there are main questions and questions speculative and these information are collected in the form of investigation or survey and the information collected for example with HFAA these really complete information so if you have the information collected in a particular place next to it there is what we call eRAMS platforms that are used for the information that we need in the management situations for example the number of sanitary establishments that are closed for specific services this year we have worked with Global Fund, with GAVI with the MS on the introduction of what we call a worldwide toolkit to put in place a pack for different countries so that these countries can collect these key information I will not give you too much detail because the information collected we try to standardize the toolkit that are already available HFAA eRAMS we will see how HFAA HFAA and HMAS are linked and the information are collected the sanitary establishments do not replace the tools the information that are collected are different what we say what we are talking about HFAA are information that are collected by sanitary establishments there are no external people who will collect these data you have to remember that the information system of sanitary management so the advantage of these information is the possibility of integrating them in the sanitary information of routine they are stored in separate instances here the most interesting part for me how how how these information can be useful first to plan the resources you can see at the central level if there are lacunes in different sanitary establishments in relation to the service then you identify the time-lapse the accessibility problems and then it prepares you to respond to different emergency to sanitary crisis we see the hospitals that need support so it is important to have this type of information here are the examples the visualizations the kits we developed in collaboration with the EMS in relation to the availability of services here are the simple information for example if we see the availability of specific services at the national level you can see if there are places available and then there is the availability of personnel qualified personnel to see if we have to store resources for example if we need to orient different donors in relation to a place that needs intervention we can do it thanks to these information and what is important is the triangulation what we try to integrate these information it allows you to do the triangulation of the attributes of sanitary establishments in other health indicators for example you can we will see another example here for example here we have the visualization which shows the number of personnel the members of the personnel we can see the number of consultations we can do more advanced research for example in relation to mortality diapalidism and is there all the equipment in such sanitary establishments to take charge these different cases so there is the improvement of sanitary health indicators there is another example for a situation of emergency it has just been published it gives you an idea it shows how these information can really motivate the donors for example it shows the problem of it shows for example the cases of tuberculosis or different establishments here is the summary there are health establishments of semi-permanent information in relation to sanitary establishments the information can be collected through the samples this is what we are trying to do and these information must be integrated into the routine systems these information must be analyzed with the other health information which comes from sanitary establishments to have an impact DHISD is a platform a platform of national health information that can make things more profitable for sanitary establishments in order to update their information so that's all thank you very much thank you Stefano the second part of the presentation is about new tools with Global Farm we are working with LMS on the development of tools to be able to integrate this in the DHISD system national health everyone collects the same data Global Farm collects the data so all organizations collect the same data so the idea of these tools is published there will be a publication of these tools there are metadata that are available we are working with Luganda, Tarzania and Lugana as a pilot country and the idea is to make the data more accessible and more available so that we don't waste money collecting the same data so our there are presenters of LMS there are lecturers of LESMO I will she will introduce us to a new tool that carries its name, there is an INAD Constance Tech who is an expert in classification and terminology and we will talk about ICD-11 and then we will with John Lewis who comes from HISP Vietnam and who will show us how different tools are developed to support the appropriate coding and I think it's really very interesting so our presenters are in a line you have the word good afternoon my name is Doris my brother and I work at LMS at the statistics department I am with Constance Tech we will start the presentation you give me a second so that I can increase the volume can you try thank you you can start again I am Doris my father statistician at the level of LMS I work with Constance Tech I will do a presentation on the role the sector has been in reinforcement of the CRS systems the which he read in 2020 shows that the lacunes compared to the birth of DC and the cause of DC there are a lot of lacunes what you see is the green color and the green color is it's in the development the map shows where the lacunes are and as I have already indicated it is above all in OP, where the red part is and the problem is the improvement of the records there are a lot of problems the HS2 is implemented in these countries we said maybe we can take advantage of the HS2 system to start to launch reports on the causes of DC why are we interested in this if you look at our files you will see that we can have the files in relation to DC there are countries where you have the records where the DCs are unregistered and those who want the certificates they can have them so so why do we say that the STP sector can contribute if you look at this map you will see that there are opportunities that we missed and the maternal health and the coverage is really important and the problem is that the DCs record is nothing compared to the record of birth because the record of birth is at the level of the hospitals and to have access to different health establishments or different health services you have to present certificates of birth but for the DCs it is really difficult to certify the DCs in a certain country so what we are showing to improve the system we guide huge standards in the collection, in the report and in the analysis of statistics about the DCs there is also the construction and operationalization of the collaboration between the health system and the CRVS for the mutual benefit by taking advantage of the RMNCH of the routine to improve the record of the DCs and of the birth but also by developing the data collection tools inside the routine health systems in the countries to have reports on the births and the DCs we also develop global products there is the guidance of the MS and the UNICEF on the role of the health sector in improving the record of the DCs and of the births there are also tools of training that can also be very useful what are the tools that we have developed so far in 2000 and 15 we have developed the SMOL but now with the ICD-11 there is a new application that has been developed with more functionality and it's better and it will help to do all the work during the Covid-19 period we have asked the countries to make the reports just of the total number of DCs and this little package has been developed in Oslo I will pass the floor to my colleague who will continue with the presentation there is a certain number of innovations there are ideas one day there is the electronic medical certificate there is the integration of the terminology what I said is of the statistics of 2017 there are synonyms that have been integrated what makes things easy for the clinic what they can find all the details what they do the transition from diagnosis of the clinic and then the second novelty is that in order to manage this complexity ICD has been disseminated as a book but ICD 11 is a tool that allows electronic research so it is a digital tool that is disseminated but it can also be used in the environment where there is no access to the internet you can see it is characterized by the relation of mortality these tools have been integrated in the application of DHS2 for the certification on the DC courses and on the human DC and then a guide of the tools and there are several categories of tools maintenance tools training tools and all these tools that are available have the ability to be integrated in whatever application and that is something that is very different from the way ICD had been integrated in the past now it consumes the APIs with the research that is done in the background it allows you to do a research using the style of Google it has allowed the integration of ICD 11 in DHS2 we have the development of the analysis and the dissemination of the data and the key functions that we have in the application of the data there is the integration of the code tool of ICD 11 as the research bar of Google it shows you the causes of the tests as written by the clinicians in the ICD 11 there is the integration of the points that show how we can make a selection what we have done in ICD 11 we have digitized and digitized the code tool manually or sometimes manually it is automatic of some countries used other software there is also a new functionality that will come that will allow not only the treatment of data of Covid-19 but also the text and we have the data analysis with the integration of ICD 11 3 the data can be analyzed immediately and then visualized and all of this can be the needs of the user and I think about the next steps the challenge here is to accelerate this automatic functionality it is something that is always in the course we are going to remember as much as we can and we are also going to integrate ICD 11 in different forms of relation about morbidity and I will talk to our colleague I will try to explain how to show a tool that was built inside the DHS-2 it is a generic application that will soon be put in the DHS-2 we will charge this application in the 36 version up to the 40 version if you use the DHS-2 you can really use this application I will directly show you the things I have already installed the DHS-2 application I will show you the different features and in the end if there is still time I will show you how we can install the application in this application there is a data input we will see how we can record I record the cause of the DHS-2 first the date and then the date of the DHS-2 and the name and here you can select the age date of birth in 26 years male sex and here are the facultative fields and then you will see this frame as you can find it on the DC certificate according to your selection about age or age there are things that will appear in a B frame here you can write something here as a clinic you can add for example DEM so it's like the ICD-11 code of MS for example it's the DEM PILMONEL and EGI and so what we will try to do now there is the list of words of the DHS-2 you have the list of all the details you can have the IRG you can also select and I will select this as a cause you will give me a moment so I will select any element sorry I will select the appropriate element because I will show you how to do the calculations so we see and we will choose 5 then we will add hyper-tension here we will put hyper-tension and the last element is it's a problem a problem a chronic dorain here that's what the doctor entered and then so you have to select before these cause of death but today we can research and it will do research and then here it will select the cause of death for you and then there is the KVLB where you can enter all the details and you want to enter there is no problem and in the application it itself there is the medical certificate for the cause of death which can be printed it can be personalized according to the needs so what we also have is the analysis of the board table here are the board tables that we have created that are in the application you don't have to go elsewhere to do the analysis the DSD is the same thing here here are all the board tables all the graphs that are predefined for one part of the things you really have you have different types of graphics different types of board tables you can for transmissible diseases there is also an element that you can select here so there are filters and you can select what you want here are the different things that you can find in the application after the installation you will find everything inside if you want to add some other attributes for example the addresses the information about the person who collects the data everything can be very configured by the DSD but you don't need a program but something else to really customize this application so you can add your logo on the medical certificate there are things that you can include or not and if someone if for example you already have a format that is predefined you can load it put it in line and then use it and then there is also the translation it's something on which you want to work sometimes you want to edit sometimes you want to edit your own translation you can add your different languages for example you can add Arabic so so it's long it's okay to translate to the language that is easy it's something that takes time depending on the data that you have what are the different data that you have several aggregated so you don't have to do an export I will quickly show you another element very quickly in the table first what you connect if you put WHEO CODI what you connect you will have these three resources you can you can see how the application works and if you have problems you can contact us and if you have the functionality CODI of the MS there is also the manual of the installation I will try to show you here here when you install you will have nothing to see you will see just this screen it will show you it will show you different things that you want to select so you can select the service that you have at home and then if you want to select the old attribute here in DHS2 it is as if you have all the attributes of the patients so there will be no application you can use your name SSX if there is an element that you can create sometimes our family is called the name that you have given so if you want to add some additional information you can add them in frame B in frame B so you can add elements of the patient so all the data that you need to collect which hospital you will select the hospital which is the question and often there are different roles for the administrator for the capture for the review so you can select if it is the administrator if it is the person who will do the exam or if it is the person who will collect the data so here so it is an important tool that I was about to show and you can download it it is the export to the code it is the name of the tool very quickly so so I hope that you have seen the demonstration that I am going to do so you can install it in a DHS 2 I finished thank you thank you so much before finishing this session I would I would I would like to give the floor to whom I thank Rebecca I will try to summarize the last presentation so old cordon a lot of work in the MS programs which put a work of two routines the evaluation of the attributes of the health I would like to appreciate the presentations they have approached very important things and we have seen what really motivates the data collection system for the cause of the tests there are a lot of countries 11 countries who really asked for the implementation of this application so the harmonization between the training and what is going on the terrain it is important to understand the way the countries design the coding the certification for the cause of tests the way we integrate the data what is the final product what will be the benefit or the advantages for health for the health here the different questions that we can continue to address during the break and we will be very happy if you contact us to see how we can continue this work and thank you for the opportunity to present thank you very much thank you very much in this this there is DHSD for health emergency in a few minutes there is a session in the S5 and then DHSD on the transmissible diseases and then if you are interested you can go in and then in the S4 there is also a session and it will start very very soon thank you very much