We are delighted to announce that our use-case bazaar session during the 2022 Annual Conference will be hosted on Monday 20 June at the University of Oslo.
We will be showcasing the incredible work around various DHIS2 implementations from different Organisations in Asia, Africa and Europe.
DIGITALISATION DES DONNÉES DE LA VACCINATION ANTI COVID 19 : CAS DU MALI
Je me nomme Dr Aboudramane BATHILY, médecin de formation, Conseiller Suivi et Evaluation à PSI Mali
Résumé : L’avènement de la COVID 19 au Mali a suscité la mise en œuvre de la digitalisation des données de cette pathologie. PSI Mali avec le Ministère de la Santé à travers le projet DIGITAL square financé par l’USAID finalisé le paramétrage du package COVID de l’OMS, adaptation des différents formulaires au contexte, Importation des données de 2021 dans le formulaire agrégés de vaccination, formés 158 agents des DRS et des districts pour la remontée des données agrégées et individuelles dans le DHIS2, le taux de rapportage quotidien de la vaccination était de 81% au T1 2022.
Le défis majeur actuel est la dotation des agents de vaccination en tablette pour la remontée à temps réels des données individuelles de la vaccination dans le tracker.
eSismal Version 3 Development: Advanced National of Malaria Reporting System
Ratih Syabrina from HISP Indonesia
Malaria is a contagious infectious disease that can cause death and morbidity in infants, toddlers, and pregnant women. Malaria is still a health problem in Indonesia so that the malaria eradication program is still a priority at the national and global levels in 2022. MoH has built a malaria program information system called the Malaria Surveillance Information System (SISMAL) with the latest application version, SISMAL V2. SISMAL V2 began to be socialized in 2018 and has been fully used in 2019. A total of 9,155 health facilities have reported malaria data using SISMAL V2. As an information system that continues to develop, in practice SISMAL still needs to be improved to answer challenges and easier and more efficient users of health facilities and the latest information can easily appear on the dashboard at each level for policy making. However, related to the completeness and accuracy of the report, SISMAL V2 data collection has not been able to run optimally and has not met the expected target. There are also limitations to data analysis and visualization as well as frequent data input errors.
thanks for sharing @ratih.syabrina 
The Great Journey of HISP Indonesia: Enhance National Health Information System
Popy Meilani - HISP Indonesia
The implementation of the Health Information systems (HIS) is already growing all over the world to support the work process at any stage. In Indonesia, the process faces issues such as Half-implemented ICT and HIS in processing the health data among Indonesia healthcare facilities, Demographic conditions that could not support the use of the internet equally, and Fragmented HIS among programs at Ministry Level. The country needed an Integrating HIS or the availability of a data warehouse, HIS and data management experts.
MoH has initiated providing the availability of One Health Data since 2017 by using the DHIS2 platform and got the support from UiO. the implementation started by hiring a local consultant (individual-based) with a specific expectation needed. Over time, HISP Indonesia was established as an organization that focuses to contribute the enhancement of Health Information Systems by using the DHIS2 platform at all levels (district, province, and national).
All says above, we can conclude that Indonesia needs the advanced HIS and technology used in the health sector. However, there are some challenges facing up such as the half-implemented ICT and HIS, unsupported internet connection in some regions, fragmented systems or HIS, inappropriate infrastructure, and lack of HIS and data management experts. HISP is established as one of support and commitment to enhancing HIS Indonesia by serving an open-source platform that can manage the huge data named DHIS2 and provide the experts which are needed to implement the platform at both local and national levels.
Cher @Aboudramane_Bathily, merci pour le partage de ce cas d’utilisation 
Thanks @PopyMeilani. Great to read about the start and evolution of HISP Indonesia
Strengthening eIDSR through active case surveillance: A case of DHIS2 based COVID-19 digital surveillance tool in Tanzania
By @Bernard @rajab_mkomwa @jesse-justin @mikespe @honest @ibrahimwickama
My name is Bernard Mussa. I work as an academic and Senior Systems Analyst at the University of Dar es Salaam (UDSM) DHIS2 Lab in Tanzania.
Here is a brief summary of what I will showcase at the Use-case Bazaar Session on Monday 20 June
In collaboration with Tanzania’s Ministry of Health (MoH), the University of Dar es Salaam (UDSM) DHIS2 Lab implemented an electronic integrated disease surveillance and response system (eIDSR) to assist in disease surveillance, prevention, and response to disease outbreaks. The system in place allows the national response team to quickly identify cases and respond in order to contain and prevent disease spread. To enable real-time data reporting across all health facilities, USSD, Android, and web-based eIDSR applications have been implemented. Tanzania, like many other countries, sought to strengthen its disease surveillance system in preparation for the COVID-19 pandemic, which began in early 2020. This included improving digital surveillance tools to provide reliable data to aid in the country’s pandemic preparation and response. For COVID-19, the MoH implemented the PIMACOVID and AFYAMSAFIRI web-based applications to test for COVID-19 suspects at all ports of entry (PoEs). Another application, CHANJOCOVID, was implemented to manage and store COVID-19 vaccination data in the country. These applications are all based on the DHIS2 platform.
However, because these systems are mostly used at PoEs and for managing COVID-19 vaccination, ensuring active surveillance of new suspected COVID-19 cases at the health facility (HF) level was a challenge. The UDSM DHIS2 Lab devised an innovative solution and developed the COVID-19 digital surveillance application within the DHIS2 platform in collaboration with the MoH to enable active case-based surveillance of care-seeking populations who visit health facilities (HFs) across the country.
The COVID-19 digital surveillance application was piloted in five (5) regions of the country, where it was tested, trained, and deployed. By April 2022, the system had already been tested in over 90 HFs across five (5) regions. After receiving training, users are now able to enter COVID-19 cases and generate case-list reports. An interactive dashboard within the application allows health managers to see all COVID-19 confirmed and suspected cases reported from pilot HFs in real time. To synchronize all surveillance data, the application was integrated with existing COVID-19 surveillance systems. Finally, the system connects to the national eIDSR database by combining data from other COVID-19 surveillance systems. This COVID-19 Digital Ecosystem has facilitated better data-driven planning and decision-making by relevant authorities. To strengthen the eIDSR system, the ministry is currently deploying the application to more HFs in Tanzania.
XMART2DHIS: A DHIS2 interoperability experience
By Agua JFV (WHO), @ifoche
Dear community, I’m Ignacio Foche, director at EyeSeeTea. Company that works in the fields of the public research, NGOs and digital health.
We will be delighted to showcase you a new DHIS2 application that shows how DHIS2 can be easily interoperable with other data warehouse systems in a way that non programmers can manage the interoperability, mapping and data transfer. This will be exposed on Monday 20 June in the Use-case Bazaar Session.
The xMart platform is a WHO data harmonization and warehousing
solution used by WHO for health data. The Data Analytics and Delivery for Impact (DDI) and the Information Management and Technology (IMT) departments at WHO chose DHIS2 as a corporate data collection tool, and WHO is working in that direction. The largest DHIS2-based data collection platform (WHO Integrated Data Platform) will probably be turned into a corporate service and will have to interact with the rest of the corporate services, including xMart data warehouse.
XMART2DHIS is a DHIS2 application funded by Neglected Tropical Diseases (NTD) department at WHO, and developed by EyeSeeTea to overcome this challenge. It allows for:
thanks
tell me more about this
am interested
By @jaredeverett (Samaritan’s Purse) @adrianquintana (EyeSeeTea) @jarnold (Samaritan’s Purse)
My name is Adrian Quintana and I work as a project manager at EyeSeeTea.
This is a brief summary of what we will showcase at the Use-case Bazaar Session on Monday 20 June
The Central Planning and Reporting (CPR) platform is a project-oriented DHIS2 instance with a custom web application on top. CPR web application isolates the user from this complexity and offers in a single graphical interface the whole set of tools to monitor a project. Some of these sections simply wrap up and enrich existing functionalities such as data entry, capture and visualization objects. While some others provide a completely custom layout and logic that fits the user’s needs. Some of the main features you can find are: a custom data entry interface, multi-tab sections with data collection and analysis features on the interface, team, volunteer and staff approval workflows, request management module, logistics and shipping order management, etc.
2 posts were merged into an existing topic: Learning DHIS2 for the first time
Thanks for sharing this use case @Bernard
Thanks for sharing this use-case @ifoche - looking forward to seeing you at the Conference
I am Ramatu Usman Obansa, I work with African Field Epidemiology Network as a data manager on the DHIS2 project.
We are happy to showcase an offline analytic tool that integrates with the DHIS2 to improve feedback and evidence-based decision making in Nigeria.
The tool is used for tracking data quality, it pools data from the DHIS2 unidirectionally and flags errors in RI data reported on the platform using an embedded macro that facilitates the connection between the tool and DHIS2. It automatically executes complex weighting and calculations.
Users can easily switch between states’ data using a dropdown menu that triggers algorithms that connect to DHIS2 web Application Programming Interface (API) in the background and pool all necessary data. Indicators analysed include reporting rate, discrepancies between vaccine doses opened and the number of children vaccinated, vaccines administered versus devices (e.g., syringes) used, and data entry errors. The DQTT auto-calculates an overall data quality performance score for each facility and populates that on a summary sheet.
Félicitation!!
DIGITALIZATION OF ANTI-COVID 19 VACCINATION DATA: CASE OF MALI
My name is Aboudramane BATHILY, Medical doctor and Monitoring and Evaluation Advisor at PSI Mali
Abstract : The advent of COVID 19 in Mali has prompted the implementation of the digitization of data from this pathology. PSI Mali with the Ministry of Health through the DIGITAL square project funded by USAID finalized the configuration of the WHO COVID package, adaptation of the various forms to the context, Import of 2021 data into the aggregated vaccination form, trained 158 DRS and district agents for reporting aggregate and individual data in DHIS2, the daily vaccination reporting rate was 81% in Q1 2022.
The current major challenge is providing vaccinators with tablets for real-time feedback of individual vaccination data in the tracker.
Thanks for sharing this use case @RObansa and welcome to the CoP
Thanks for sharing the use case @Aboudramane_Bathily
Abstract-
Medical internships play an important role in the learning process of future healthcare professionals in Cote d’Ivoire and the whole world. Thus, in Côte d’Ivoire, there exists a traditional management system using Microsoft Excel used by teachers for collecting and keeping different marks obtained by the students from the training hospital.
• However, the current system using Microsoft Excel has several limits because of the difficulty to compile data from the Microsoft Excel files and the unavailable data in real-time.
• According to UNESCO, an Educational Management Information System (EMIS) is defined as a system for collecting, integrating and processing data to support decision-making.
• DHIS2 for education is an extended version of the DHIS software of the health sector which aims to collect monitor and visualize data from schools. It includes several useful functions for school management, student enrollment, and student attendance. Thus, the purpose of this study is to design and implement a new information system for monitoring and managing students from the Department of Medicine of the University of Felix Houphouet Boigny during their internship period.
• In this study, with the collaboration of the Medical Science Laboratory of Biostatic and Medical Informatic of the University of Felix Houphouet Boigny and HISPCI expert, we describe the prototype and the implementation process of DHIS2 for education
