Dec 09, 2019 Poster 15:30 - 16:15

Please vote for your top 3 posters here:

Special Olympics: Scaling an Open-Source EMR Platform Globally
15:30 - 16:15
The Special Olympics Healthy Athletes program has been offering free health screenings and education to Special Olympics athletes for more than 20 years. During that time the organization has aggregated an immense and unique data set about the athletes which compete at their events globally. However, this data has been accrued as a series of health visits, each collecting specific data elements on a form. Special Olympics and VecnaCares are transitioning this data collection and storage system to a longitudinal health record, transforming individual screening data into a patient record in a custom-built system built using OpenMRS. The system is designed with accepted global best practices of data information exchange including the use of HL7 and FHIR protocols to standardize the data schema to integrate with existing systems. This session will identify key challenges to scaling a digital health system to a global deployment, and discuss lessons learned when transitioning from a single-visit system to a longitudinal health record.
Applying Modeling & Visualization to Predict Supply Chain Freight Costs When There is Limited Information Available
15:30 - 16:15
Typically during the price estimation stage for global health supply chain initiatives, often there are many unknown variables that are needed for the estimation of freight costs for various shipping legs and lanes. These unknowns often drive poor price estimates which can lead to budget overruns later in the supply chain process. As these overruns can be more costly at a later point, this can lead to less funding available for additional global health-related product procurement/distribution, reducing the overall effectiveness of global health initiatives including a reduction in the number of lives saved. To address this issue, PFSCM developed and implemented a predictive modeling initiative through the use of historical supply chain data in a data warehouse, Python programming language and various stats and visualization libraries from Anaconda package manager and the Integrated Development Environment, Jupyter Notebook, and reporting and visualization through Microsoft Power BI. Through a process of objective definition, data gathering and treatment, integrated data modeling and visualization, PFSCM developed a regularly updated, user friendly, predictive modeling tool for staff involved with freight cost estimation. This initiative has saved time, reduced estimation uncertainty and improved budgeting, leading to improved supply chain effectiveness and reach.
Data Driven health system to take action: Guatemala Indicators monitoring system for contraceptive insurance
15:30 - 16:15
The main objective of this poster session will be to show how the “Be Data Driven” principle from the Principles of Digital Development was a key central strategy used for the conceptualization and development of the integrated information system for the monitoring of the contraceptive insurance in Guatemala. In Guatemala, there was the need to have an integrated system to visualize data and provide easy understanding and decision-support related to the delivery and benefits of contraceptive commodities, with the special consideration that the delivery of contraceptives is done by four institutions that form a commission. For the design of the system, the use of a data-driven approach was applied such that the design, technical and technological decisions for the system were made with the users with a focus on how data would be used to improve policy-making decisions. Among the lessons learned were that governance was a key issue to promote conversation and understanding among stakeholders. Also, an iterative and collaborative process with the user is essential to ensure that data is displayed correctly and that can support the decision-making process. The information system collects data from four institutions and provides dashboards with information that is easy to interpret for actions to be taken by the commission.
Digitizing the Integrated Management of Childhood Illnesses (IMCI) protocol to assist frontline health workers (FHWs) in correctly categorizing and managing childhood illnesses
15:30 - 16:15
The Integrated Management of Childhood Illnesses (IMCI) strategy was developed by the World Health Organization (WHO) to reduce morbidity and mortality among under-five children across the globe. Among its core components is enhancing case management skills of frontline health workers (FHWs): IMCI prescribes a series of steps to FHWs to identify and manage major childhood diseases. IMCI implementation has traditionally relied on paper-based tools and training material, which creates the need for memorization and lengthy training sessions, along with heightening chances of error and prolonging screening time per child. As a result, IMCI implementation has faced persistent barriers, and impact has been limited. Using Android technology, we developed eIMCI, an electronic version of WHO’s 2014 IMCI guidelines. The application allows FHWs to easily navigate the otherwise complex IMCI protocol on their mobile phones, eliminating the need for memorization and extensive training. As data is entered into the application, the system automatically integrates incoming patient data with disease symptoms to classify the patient in accordance with IMCI algorithms, and enables the FHW to skip over questions that are irrelevant to the case at hand. Screening time per child is thus considerably reduced. Furthermore, the application incorporates a referral system whereby FHWs can connect more serious cases to a health facility for treatment and follow-up. In our session, we will demonstrate how eIMCI works, and invite the audience to explore the application on a mobile device. Screenshots from the eIMCI application will be displayed on our poster, along with quotes from FHWs who have used the application. We will discuss the various stages the project went through before being scaled up and deployed at Indus Hospital in Karachi, Paksitan, where more than 80,000 children have been screened through eIMCI till date.
Global System for Mobile Communication (GSM) based Tracking: Scaling up low-cost technology to improve workforce monitoring for improved geographic coverage of immunization services
15:30 - 16:15
The rapid and vast proliferation of mobile technology has revolutionized the ability of health systems to achieve better outcomes, including improved geographic monitoring of immunization services. Expanded access to new technologies including Global Information System (GIS), and online mapping tools (e.g. Google Maps) has enabled more detailed maps and satellite images for demarcation and identification of priority areas during routine and large-scale mass immunization activities. We have leveraged these technologies to deploy a unique, cost-efficient and powerful tool for monitoring workforce and undertaking assessments of geographic coverage of immunization services. This session will outline our experience of piloting and scaling up a GSM-based Geographic Information Systems (GIS) tracking service in a low middle income setting. We will elaborate upon our experiences of piloting the technology in 2013, across 2 rural districts in Sindh province, Pakistan, tracking 20 vaccinators during a polio supplementary immunization campaign for 3 days. We will highlight the tracking mechanism and the positive results (in terms of improved attendance and geographic mobility of vaccinators) that enabled us to garner support from the Government and GAVI, for eventual scale-up of the system in 2016. Currently, the system is being used to track over 2000 government vaccinators, linked to 1,138 health facilities across 27 districts of the province. In addition to explaining the processes leading to scale-up, we will also highlight the advantages of the GSM tracking over GPS technology including the ability to track through regular mobile SIMS, no requirement for data connectivity or smartphones and preservation of phone battery life. The session will also highlight the impact and how real time tracking information is converted to actionable data for supervisors, ensuring effective monitoring and coverage of all target areas, specifically remote geographical pockets that remain unreached by immunization services.
+ 27 more abstracts (presentations). View All

Implementer and Spatial Analyst-Health Informatics Officer
Director, Strategic Partnerships
KT (Korea Telecom)
Data Scientist
OpenLMIS Steward
Biomedical Informatics, School of Medicine, National Autonomous University of Mexico (UNAM)
+ 26 more speakers. View All
Senior Technical Advisor
Technical lead, Governance and Policy
Postgraduate Institute of Medicine (PGIM), University of Colombo, Ministry of Health Sri Lanka
Health Informatician


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