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ChatGPT and artificial intelligence are taking the world by storm. But it's not all fun and poems - under the hood, it's all about data and that's what DHIS2 is all about, too. There is a lot of potential for machine learning, AI, and data science to revolutionize data use, impact, and health outcomes with DHIS2. In this session we will learn how it is being used today, and discuss how it might affect the future!

We'll also hear from Eirik on the DHIS2 core team who will discuss how we can leverage AI and Large Language Models (LLMs) such as ChatGPT to make DHIS2 data and documentation more accessible and insightful

06/14/2023 14:00 - 15:00(Europe/Amsterdam)
Venue :
20230614T1400 20230614T1500 Europe/Amsterdam

ChatGPT and artificial intelligence are taking the world by storm. But it's not all fun and poems - under the hood, it's all about data and that's what DHIS2 is all about, too. There is a lot of potential for machine learning, AI, and data science to revolutionize data use, impact, and health outcomes with DHIS2. In this session we will learn how it is being used today, and discuss how it might affect the future!We'll also hear from Eirik on the DHIS2 core team who will discuss how we can leverage AI and Large Language Models (LLMs) such as ChatGPT to make DHIS2 data and documentation more accessible and insightful

The DHIS2 Annual Conference oslo2023@dhis2.org

Presentations

An integrated architecture for adding analytical power: DHIS2, warehouses and business intelligence

Big data and DHIS2: AI/Machine Learning, and advanced analytics 02:00 PM - 03:00 PM (Europe/Amsterdam) 2023/06/14 12:00:00 UTC - 2023/06/14 13:00:00 UTC
How we can design a data analytic platform to analyze data (structured and unstructured) coming from different sources including DHIS2
Presenters
CT
Carlos Tejo Alonso
Software Architect Lead, SolidLines

A low-code approach to Machine Learning with DHIS2 Tracker and Power BI

Big data and DHIS2: AI/Machine Learning, and advanced analytics 02:00 PM - 03:00 PM (Europe/Amsterdam) 2023/06/14 12:00:00 UTC - 2023/06/14 13:00:00 UTC
In this presentation we will describe a low-code approach to implementing machine learning with DHIS2 tracker data and the results of a pilot study.
Presenters Kayla Stankevitz
Technical Advisor - Health Informatics, FHI 360
Co-Authors Samuel Anthonio
Technical Advisor Health Informatics, FHI 360
JL
Jeremiah Lehloka
Senior Monitoring And Evaluation Officer , FHI360 Lesotho
DB
DORICA BOYEE
Technical Advisor, Strategic Information, FHI360
KK
Kananelo Kabeli
MER Officer, FHI 360
462 visits

Session Participants

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Session speakers, moderators & attendees
Featured Speaker
Developer
,
DevOtta AS / University of Oslo
Featured Speaker
Technical Advisor - Health Informatics
,
FHI 360
Featured Speaker
Senior Implementer
,
HISP Sri Lanka
Featured Speaker
Software Group Lead
,
HISP Centre, UiO
Software architect lead
,
SolidLines
 Pamod Amarakoon
Senior Implementer
,
HISP Sri Lanka
Mr. Austin McGee
Software Group Lead
,
HISP Centre, UiO
Software Engineer
,
University of Oslo
Global Health
,
MEDx eHealthCenter B.V.
Monitoring and Evaluation Officer
,
Ministry of Health, Trinidad and Tobago
Quality Engineer
,
DHIS2
Assistant Strategic Information Officer
,
CIDRZ
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