Due to the COVID-19 outbreak, BAO Systems made the difficult, yet necessary, decision to postpone the DHIS2 Symposium. The DHIS2 Symposium 2020 has been rescheduled to October 1-2, 2020 (Washington, DC, USA). Tickets already purchased will be valid for the rescheduled Symposium. The DHIS2 Symposium continues to serve as an essential pillar in the DHIS2 community and we look forward to seeing you in October.
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Registration and Breakfast
Nicola Hobby, BAO Systems
Keynote Mobile Helping Babies Survive: Innovative application of DHIS2 platform to educate, train, and empower health care providers to save newborn lives
Newborn mortality is an urgent global health challenge; each year, around 2.5 million babies die within the first month of life. Most newborn deaths are preventable, but require that health care providers – particularly in low/middle-income countries (LMICs) – are equipped to recognize and manage newborn complications. Our multidisciplinary, international team has developed a suite of open-source, DHIS2-integrated digital health tools for LMIC health care providers called mobile Helping Babies Survive powered by DHIS2 (mHBS/DHIS2). mHBS/DHIS2 supports offline functions related to education, training, decision support, quality improvement, monitoring, and evaluation. mHBS/DHIS2 recently completed a field trial in Nigeria and Kenya among 230+ nurses/midwives from 18 health facilities. Attendees will learn more about the design, development, and evaluation of mHBS/DHIS2, as well as our vision for sustainable global scale-up.
Dr Sherri Bucher, Indiana University School of Medicine
Daniel Messer, PSI
Having the Data is Half the Battle
CDC will present best practices for analyzing and reporting data from DHIS2. The session walks through the process of conducting a valid and meaningful analysis of malaria cases reported to DHIS2, beginning with appropriately documenting data selection, data munging, and time-series analysis.
John Painter, CDC
PMI Data Lakes and Predictive Analytics
USAID’s President’s Malaria Initiative is developing a data lake in order to prototype analytical approaches for becoming a more data-driven organization. Simultaneously, PMI has also established a new Quarterly Report requirement, wherein partner countries are requested to report malaria-related health data, disaggregated by month and by district, on a quarterly basis. PMI’s Malaria Data Integration and Visualization for Eradication (M-DIVE) platform serves as a new tool for ingesting, housing, analyzing, and visualizing epidemiological, supply chain, financial, entomological, demographic, climate, and other data from various sources, including the monthly data reported from countries on a quarterly basis. M-DIVE platform is designed to integrate with and complement existing tools such as DHIS2. The goal is to turn the M-DIVE platform into an analytics tool that is useful for National Malaria Control Programs and other key partners in the malaria community.
Lungi Okoko, USAID
Panel Integrating Upstream Data Collection Tools with DHIS2: CommCare, KoBo, ODK, g-Sheet
Integration of primary data collection tools with DHIS2 enables programs to conduct more holistic data analysis. In this session, BAO Systems, Jhpiego, Pact, and Pathfinder will present on their reasons for wanting DHIS2 integration, approaches to facilitating upstream integration, and how these integrated datasets have improved analysis and decision making.
Sarah Searle, BAO Systems
Scott Merritt, Jhpiego
Carolyn Vopelak, Pact
Blake Erhardt-Ohren, Pathfinder
Get situated for next breakout session
Break - get situated
PEPFAR's Approach to Standardized Analytics Objects
Use of native DHIS2 features and outside expertise to deploy large numbers of analytic objects quickly and accurately, with reproducibility.
Kristin Roha, OGAC
Couper Turkewitz and Tim Harding, BAO Systems
DHIS2 for Supply Chain
DHIS2 is being deployed as last-mile logistics management in numerous countries, and the University of Oslo is developing a logistics roadmap and metadata packages. Come and find out how DHIS2 can address supply chain data capture and monitoring.
Scott Russpatrick, University of Oslo
Registration and Breakfast
Let's see if you pay attention! Join the Kahoot quiz for a chance to win a fabulous prize.
Nicola Hobby, BAO Systems
DHIS2 - What's New & What's Coming?
The DHIS2 platform offers data warehousing, data visualization features, and the possibility for data users and policy makers to generate analyses from data in near real-time. In this session, you will learn about the newest DHIS2 features and apps, and what’s in store for the upcoming releases.
Lars Helge Øverland and Marta Vila, University of Oslo
Developing Global WHO Standards
An overview of the standardized WHO packages that have been created for aggregate and tracker data, with details on different programmatic areas including logistics and community health and current deployments.
Mike Frost, University of Oslo
Knut Staring, WHO Collaborating Center at UiO
Data eXchange Platform: Connecting Data Systems to Facilitate HMIS Integration and Triangulation
The Data eXchange Platform (DXP) is a novel approach to data exchange and integration with the aim of integrating robust data from external data systems into HMIS to facilitate triangulation, data use and data quality checks in a systematic and sustainable way. To do this, an intermediary platform has been developed in DHIS2, which calls data from global databases, reshapes them into an HMIS-compatible data standard that can be imported into national HMIS, and customized to meet a range of national/subnational use cases. Once fully developed, this pathway will also provide a mechanism through which countries could report routine data to increase representation in global database and potentially reduce the burden of routine global reporting. This session will present an overview of the DXP concept and approach, including practical use cases and applications, roadmap and current progress as well as plans for field testing and country implementation in 2020.
Tyler Porth, Unicef
The University of Oslo presents on best practices surrounding national tracker implementations including key considerations around security, hardware, training and other issues based on field experiences.
Mike Frost, Marta Vila, and Prosper Behumbiize, University of Oslo
Lunch and Networking
Panel Expanding Tracker to Improve Community Level Health Care Access: Haiti, South Africa, Nepal
Implementation of DHIS2 Tracker has led to demonstrated improvements in health outcomes. Through DAI’s Haiti Strategic Health Information System (HIS) project, the launch of the TB tracker in January 2018 has led to increases in the number of reported TB cases and identification of their contacts. FHI 360 Nepal’s implementation of Tracker combined with program monitoring dashboards led to an increase in project achievement by 156% during October 2018 – September 2019 in the comparison with previous year. The Ministry of Health and Population of Nepal is planning to replicate this as one HIV Information System in Nepal beginning in April 2020. HISP-SA will demonstrate how Tracker can assist with the complex data flow between households, facilities, and healthcare workers. Piloting of the app has shown a positive uptake by health workers as well as improvements in data quality, timely reporting, and health outcomes.
Frantz Peter Charles, DAI Global Health
Jean Patrick Alfred, Haiti Ministry of Health
Pradeep Kumar Thakur, FHI360
Vincent Shaw and Ntuthu Dhlamini, HISP SA
Vers la mise en place d'un Système d'Information Sanitaire National Unique (SISNU) en Haïti - Towards the Establishment of a Unique National Health Information System (SISNU) in Haiti
Since September 2015 the Ministry of Health (MSPP) wants to equip Haiti with a unique information system whose vision revolves around a coordinated, articulated and integrated national information system having as guiding principles; Consistency, completeness, efficiency and usefulness while respecting the existing link between the architecture of the health information system and the organization and coordination of health services. This information system is based on 3 main pillars: 1) Service Statistics; 2) Epidemiological Surveillance; and 3) Resource Statistics.
Dr. Jean Patrick Alfred, Unité d’Etudes et de Programmation du Ministère de la Santé Publique et de la Population - Haïti
Panel DHIS2 to Analytics Platform: Abt Associates and BAO Systems Use Case
While DHIS2 is a robust platform, many organizations face the challenge of growing analysis needs beyond what is housed in their core DHIS2 systems. BAO Systems’ Analytics Platform addresses these needs by enabling: ingestion of multiple and varied datasets and data formats (including DHIS2); warehousing of integrated datasets; and data analysis and visualization in multiple BI tools. Our Analytics Platform provides the foundation for advancing analytics within PEPFAR as well as for our partners. Abt Associates recognizes that modern analytics and data science requires both a highly skilled, multi-faceted team and a robust platform. Abt Associate’s people and tools support a wide range of data collection and integration, quantitative, qualitative, geospatial, and visualization needs and work using classic analytic and modern data science techniques.
Katherine Lew and Lars Helge Overland, BAO Systems
Jason Brinkley and Theo Gimenez, Abt Associates
Have you ever wondered what it takes to configure a DHIS2 instance? Do you want to get to the top of the latest and greatest DHIS2 functionalities and improve your ability to create meaningful data analytics?
If you answered yes, you won’t want to miss this 2-day DHIS2 training course organized by BAO Systems.
1825 Connecticut Ave NW,
Washington DC 20009, United States