Saranath

Thanks Soe for sharing! I’m glad that you brought up capacity building among staff and volunteers to raise awareness and capacity training. This is an important factor that determine the project success.

Thanks for sharing! Sometimes informatics initiatives do not need sophisticated tools. We can apply the existing tools that we have to create a good system to combat the outbreak.

Agreed! Rapid response cannot be rapid without a good data reporting and flow.

Thanks for sharing. I agreed that the technology can help improve public health practices in different ways.

This is a good idea and very impactful system!

Thanks Jenny for sharing! TB is a disease that require long-term treatment. It’s not easy to manage reporting system. I’m particularly interested in ITIS-lite that you can encourage TB report from private sector. In Thailand, we has less participation in disease reporting from the private sector.

Thanks for sharing! I like your conclusion “health informatics transforms raw health data into actionable knowledge”.

Very impressive. You can show the early warning and alert system in the eHealth module (presentation assignment). I’m looking forward to leaning more about the system.

Thanks all for sharing. It seems that all of you have good experience in some health IT project (big or small). Hope you will gain more knowledge and skills needed in the program.

Thanks! We could see many health IT innovations and initiatives during the COVID-19.

Thanks for sharing. COVID-19 pandemic really disrupted the way we view and use Health IT. I absolutely agree with you that HIS combined with dedication of health workers can potentially enhance the outbreak detection and control.

Thanks Aung, Wah Wah, and Hteik Htar Tin for your reflection!

Totally agree with you about chunking the number and color-coded. But I like the layout of the dashboard, easy to understand and well-organized.

I agreed that the page is not quite user-friendly. One more thing is that the graphs are not quite interactive, you only can sort within each graph.

Thanks for sharing. Agree with you. Very informative data dashboard, sometimes it’s difficult to find what I’m looking for.

Good catch!

As I mentioned earlier in my talk, the GCDMP guideline is specifically for clinical trial. For non-clinical trail, such as observational study, field study, it would be nice to follow the GCDMP standard. It is still OK if you cannot follow some of them.

Thanks Aung, Phyo, Cing and Thinzar for sharing your experience. Protocol discussion is an important process, but many researcher not really pay attention to. Good beginning leads to great outcome!

Well design questionnaire and CRF at the beginning of the study is particularly important. It is almost impossible to go back to recollect the data.

Thanks for sharing your experience. And thanks Aung and Cing for informative suggestion.