Digital Health for Health Systems Managers White Oak B Panel
Dec 09, 2019 04:15 PM - 05:30 PM(America/New_York)
20191209T1615 20191209T1730 America/New_York Using digital data to improve health outcomes

As more and more data is collected through diverse digital mechanisms, it is imperative that managers of this data identify ways in which different sources of data can be integrated to improve data quality, use, and impact. It is no longer sufficient or appropriate to look at data in silos. With advances in machine learning and artificial intelligence, as well as increases in the sheer volume of data collected, programs are developing innovative ways to integrate and analyze data such that it creates deeper, more nuanced insights into underlying challenges and on-the ground realities of program implementation and impact among beneficiaries. In this panel, we will hear three presentations from South Africa, Mozambique, and Nigeria on how programs and countries have migrated, integrated and enhanced different sources of digital data to improve program knowledge and decision-making, and better respond to the needs of stakeholders and beneficiaries at multiple levels of the health system.

White Oak B 2019 Global Digital Health Forum gdhf2019@dryfta.org
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As more and more data is collected through diverse digital mechanisms, it is imperative that managers of this data identify ways in which different sources of data can be integrated to improve data quality, use, and impact. It is no longer sufficient or appropriate to look at data in silos. With advances in machine learning and artificial intelligence, as well as increases in the sheer volume of data collected, programs are developing innovative ways to integrate and analyze data such that it creates deeper, more nuanced insights into underlying challenges and on-the ground realities of program implementation and impact among beneficiaries. In this panel, we will hear three presentations from South Africa, Mozambique, and Nigeria on how programs and countries have migrated, integrated and enhanced different sources of digital data to improve program knowledge and decision-making, and better respond to the needs of stakeholders and beneficiaries at multiple levels of the health system.

Technical Solutions to Serve Rapidly Changing Needs in a Data-Rich project.
Panel PresentationDigital Health for Health Systems Managers 04:15 PM - 05:30 PM (America/New_York) 2019/12/09 21:15:00 UTC - 2019/12/09 22:30:00 UTC
Implemented by the National Primary Healthcare Development Agency, Nigeria’s PBF system utilizes a suite of tools to incentivize improved healthcare provision. This system depends on high quality data collected from facilities, verification of this data across different sources, and payments associated with results. The data flow in a PBF system begins with initially reported data (“claimed”), compared with “verified” data, and based on a complex series of algorithms, facility payments are adjusted based on either a carrot (bonuses if discrepancies are below a specified threshold), or a stick (sanctions levied if discrepancies are above a specified threshold). In recent years, the system has evolved from a stand alone platform to one centered around a DHIS2 instance. By transitioning to a DHIS2-based platform and integrating with the HMIS, the PBF program has been able to leverage efforts to reduce redundant activities and improve data quality beyond this program. The audience will hear how the project has dealt with rapidly changing needs and new technologies, learning from Nigeria's experience implementing a complex project with widely varying stakeholders.
Presenters Vidya Mahadevan
Senior M&E Specialist , Bluesquare
NACOSA and Zenysis Technologies: Improved Health Outcomes for Key and Vulnerable Populations in South Africa through Rapid Data Systems Interoperability
Panel PresentationDigital Health for Health Systems Managers 04:15 PM - 05:30 PM (America/New_York) 2019/12/09 21:15:00 UTC - 2019/12/09 22:30:00 UTC
NACOSA is a network of over 1,800 civil society organizations working together and in partnership with the Global Fund, PEPFAR and other public and private sector partners, to turn the tide on HIV, AIDS and TB in Southern Africa, particularly among children and youth, key populations and women and girls. Since 2017, NACOSA has worked in partnership with Zenysis Technologies, a big data and artificial analytics software company, to integrate NACOSA's most important data sources into a single platform for advanced analysis. Previously, NACOSA couldn’t deeply analyze program impact at a micro level or view the cost effectiveness of its programmes due to the fragmentation of its data sources, which were in excel and cloud-based systems that were not interoperable. Through the partnership with Zenysis, NACOSA staff now have access to dashboards that integrate more than 13 data sources, including both financial and programmatic data, giving program managers a clearer view of overarching programmatic impact and cost effectiveness within a single interface. NACOSA’s integrated data, visualized in user-constructed dashboards focused on program performance, has significantly enhanced the organization’s ability to monitor sub-recipient performance, automate reporting and generate advanced, high-resolution analytics and visualisations. With the integration of financial data with programmatic data, NACOSA is also able to monitor programmatic cost effectiveness down to the program indicator level. Zenysis’ program monitoring features were extended to sub-recipients of various programs, enabling them to also effectively monitor their own performance on the micro level. NACOSA is now able to see a more accurate number of beneficiaries reached, the clinical profiles of beneficiaries, micro level trends, compare data across sites and geographic areas, and develop robust HIV cascades. With this micro level data analysis, NACOSA has been able to specifically adjust programmatic interventions to suit the population in each area.
Presenters Leora Casey
Key Populations Manager , NACOSA
A mobile tool to maximize the identification and location of sex networks of people living with HIV: the case of PISAUDE in Mozambique
Panel PresentationDigital Health for Health Systems Managers 04:15 PM - 05:30 PM (America/New_York) 2019/12/09 21:15:00 UTC - 2019/12/09 22:30:00 UTC
Sexual transmission of HIV is the most common cause of HIV infection in Mozambique, therefore the ability to identify and offer HIV counseling and testing (HIVCT) to sex partners (SP) of individuals living with HIV is of utmost importance. This task has been extremely complex using paper-based tools, given that networks of SP lead to a complex cascade of various partners. To better organize and visualize these complex networks, the use of a digital platform, PISAUDE, which is an application initially designed to capture data on people offered HIVCT, has matured into a database that can look at these complex networks of SP to better understand exposures and risks among these networks. The first found case of HIV is an index case, and each SP of the IC is also inquired about their SP, and so on, in a growing cascade. Each subsequent partner is visualized as a ‘layer’ that can then inform about subsequent SP. The aim of this session is to show that a digital platform is a fast, real-time and easy to use tool for identify and creating sexual links between individuals who may otherwise not have appeared to know each other. For the lay counselor that is building the coordinates of the network of sex partners of an IC to whom HIV CT can be offered, this tool is very helpful, regardless of the complex algorithms running in the background. The use of PISAUDE enabled the identification at least 5 layers within partner networks since 2017: the first layer is the SP of the IC, i.e., the 20656 individuals related to 21085 IC; those, in turn, had 684 SP (layer 2); the third layer had 43 SP, the fourth had 4, and the fifth layer had 1. The HIV positivity among SP was 18%.
Presenters
AT
Argentina Sebastião Balate Tamele
M&E, Jhpiego
Co-Authors Devan Manharlal
Information System Adviser, Jhpiego
Senior M&E Specialist
,
Bluesquare
Key Populations Manager
,
NACOSA
Ms. Emily Mangone
Digital Health Advisor
,
Abt Associates
Mr. Dominic S Haazen
Lead Health Policy Specialist
,
The World Bank
 Alice Liu
Deputy Director of Programs
,
Digital Square/PATH
Program Officer
,
ELMA Philathropies
Mr. Trevor Mwiu
Global Fund Programme Manager
,
World Vision UK
 Ashley Thomas
Project Manager
,
Simprints
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