Advanced Training on Installation, Use & Maintenance Of DHIS2 Level II

Date

Venue

Registrations

15th to 26th Jan 2024

Nairobi

12th to 23rd Feb 2024

Mombasa

18th to 29th March 2024

Nairobi

15th to 26th April 2024

Istanbul

20th to 31st May 2024

Nairobi

17th to 28th June 2024

Dubai

15th to 26th July 2024

Nairobi

19th to 30th Aug 2024

Nairobi

16th to 27th Sept 2024

Nairobi

14th to 25th Oct' 2024

Mombasa

18th to 29th Nov' 2024

Nairobi

9th to 20th Dec 2024

Nairobi

The District Health Information Software (DHIS2) is utilized in over forty nations around the planet. DHIS2 is a tool for presentation, analysis, validation, and collection of aggregate and patient-based statistical data, customized (though not limited) to incorporated health info management activities. It's something having an open metadata style & a flexible user interface which enables the user to develop the contents associated with a specific info system without the demand for programming. DHIS2 and further up is a modular web-based software package designed with open and free source Java frameworks.

Health data and info is considered to be under-documented due to simple improper health and demographic record keeping. We have organized the instruction that aims at constructing the capability of scientists, health report administrators and providers to monitor, manage and keep market information and wellness info more effectively and correctly than using papers. This program on Installation, Maintenance and Use of DHIS two, will equip the individuals with needed knowledge and skills on how you can report, analyze and also disseminate details for most well-being programs.

Who Should Attend?

• Health administrators, Health Information System Officers, scientists, area workers,

Course Content

Module 1. Web App Development

  1. Best practices for developing modern DHIS2 web apps
  2. Working with DHIS2 Metadata and Analytics APIs
  3. Building DHIS2 apps with the new DHIS2 Application Platform
  4. Using the DHIS2 design system and UI libraries
  5. Deployment of DHIS2 apps to the app store

Module 2. Android App Development

  1. DHIS2 Android SDK architecture
  2. DHIS2 skeleton app
  3. Principles for UX/UI design
  4. DHIS2 rule and indicator engine
  5. Testing and debugging
  6. Publication channels

Module 3. Android Implementation

  1. DHIS2 Android app features
  2. DHIS2 configuration for a successful mobile user experience
  3. How to plan, test, pilot and scale DHIS2 Android systems.
  4. Enterprise Mobility approaches (including mobile device management)
  5. Guidance on the DHIS2 Android roadmap and online community

Module 4. Community Health (CHIS)

  • Introduction foundational concepts of CHIS
  • Review of real-world DHIS2 CHIS case studies and research, with a focus on lessons learned and best practices
  • Presentation of key considerations of design, development and use of large-scale CHIS
  • Presentation of guidelines on how to configure DHIS2 as a CHIS
  • Practical exercises on different facets of building a CHIS, including monitoring of integrated community case management (iCCM)
  • Discussion on data use and decision making, primarily from the perspective of the community
  • Discussion of building a plan for system training and support for effective capacity building
    capacity strengthening for effective use of CHIS
  • Guidance on governance and sustainability of CHIS, including issues of participation, accountability and transparency and development of standard operating procedures

Module 5. Data Quality

  1. Overview of methods used for data quality review
  2. Detailed instruction on installation, configuration, and use of Data Quality Tool
  3. Exercises on validation rules, standard deviation, and predictors
  4. Review of real-world data quality examples and country stories

Module 6. DHIS2 for Education

  1. Review of real-world uses of DHIS2 for Education, focusing on best practices and lessons
  2. Key considerations for implementing DHIS2 as an EMIS
  3. Introduction to analysis of EMIS data (such as school attendance, etc.) using DHIS2 analytics tools, including pivot tables, charts and maps
  4. Creating custom dashboards for easy data sharing, presentation, and use
  5. Introduction to customizing EMIS data entry forms
  6. Introduction to designing data capture tools to track individual-level data, such as student and teacher attendance
  7. Design and implementation implications for using mobile devices for data capture

Module 7. Disease Surveillance

  1. Presentation of real-world use cases, focusing on lessons learned
  2. Demonstrations of the latest DHIS2 features for disease surveillance
  3. Discussion of best practices for DHIS2 implementation
  4. Hands-on exercises on system configuration and analytics

Module 8. Logistics Data (LMIS)

  1. Review of supply chain data flow models, terminology and meta-data
  2. Introduction to supply chain indicator calculations in DHIS2
    Introduction to supply chain analytics configuration in DHIS2
  3. Visualizing supply chain data and comparing service data to supply data
  4. Discussion on interoperability between DHIS2 and other LMIS

Module 9. Maps & GIS

  1. Introduction to GIS and DHIS2 Maps
  2. Practical mapping exercises on our DHIS2 training instance
  3. Hands-on work with your DHIS2 instance
  4. Introduction to QGIS and practical exercises
  5. Planning for how to enhance your use of maps in your DHIS2 instance

Module 10. Server Administration

  1. Essentials of linux server administration, including use of ssh for access and unix fundamentals
  2. Overview of DHIS2 architecture, including its dependencies and installation options
  3. Overview of various logging, monitoring and alerting tools
  4. Overview of security concerns, concepts, standards, and technical tools (including special concerns for personal data in Tracker programs)
  5. Discussions on “next-generation” features of DHIS2 and their implications for server administration

Module 11. Tracker Management

  1. Review Tracker features and real-world use cases
  2. Overview of how to design implementations for high-quality analytics outputs
  3. Discuss strategies for capacity building
  4. Learn frameworks for outlining implementation requirements
  5. Review of security considerations
  6. Review of system assessment frameworks
  7. Develop an implementation / maintenance plan
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