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Technology-enabled solutions have a major impact on the international humanitarian and development sector, with new and emerging technologies continuing to pave a new way forward. Digital ID allows organizations to collect accurate beneficiary data and track progress towards the SDGs. The integration of Unmanned Aerial Vehicles or drones into supply chain systems leads to an increase in the availability and access to lifesaving health commodities and fills significant service gaps in public health supply chains. With Electronic Health Records, health providers can understand the requirements of communities, and artificial intelligence and predictive analytics can improve health outcomes. The emergence of digital tools bundled with predictive and descriptive analytics helps community health workers to identify high-risk patients for timely and quality service. 

Digital technologies are mitigating barriers associated with distance, time, infrastructure and analog data processes and can improve how health services are accessed and delivered. Community Health Workers and Frontline Health Workers can now register patients and track health services across a continuum of care and increase facility transparency, autonomy, and accountability. A digital health service can provide a complete End to End service that delivers actionable data, with the implementation of Antimicrobial Resistance Surveillance systems, and end-to-end logistics information management systems, which can collect historical consumption data and utilize predictive analytics to accurately support demand planning and optimize in-country public health supply chains.

Join sessions with CDC China, Technical University of Catalonia, BarcelonaTech, Jhpiegpo, Foundation for Innovative New Diagnostics, Living Goods, VecanCares and learn how organizations are using new and emerging technologies. Chemonics International, Cooper Smith, Abt Associates Inc, will present the innovative tools and platforms they are developing. 

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Tuesday, October 29 • 13:30 - 14:15
Applying Machine Learning to PEPFAR Data to Enhance Programmatic Insights - PoC

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Machine learning can have a profound impact on advancing analytics to achieve greater impact with limited resources. Using our lessons learned supporting PEPFAR, we will dive into greater detail on how organizations can advance their analytics, gain program efficiencies, and achieve results faster. 

avatar for Sam Garman

Sam Garman

Analytics Technical Lead, BAO Systems
Sam specializes in data science and analytics covering the full data science life cycle from business understanding to modeling/visualizing to deployment and acceptance. He has over 15 years of experience spanning information systems analysis and development, applied economic research... Read More →
avatar for Katherine Lew

Katherine Lew

Product liaison, BAO Systems
Ms. Lew brings over 15 years of public health experience with an emphasis in health information systems, data management, and data analytics, visualization and use. Before joining BAO Systems, she supported NGO country programs and headquarters with customization and implementation... Read More →

Tuesday October 29, 2019 13:30 - 14:15 CET
Auditorium H8-01
  Plenary session
  • Organization BAO Systems
  • Technical Level Intermediate
  • Moderator Busoye Anifalaje