Myo Oo

Many thanks for sharing, Ahko. I like your idea of breaking the chain of transmission as a key intervention to outbreak response.

I agree with you. Web-based tools and machine learning are very useful for detecting outbreaks early.

I would choose the use of Bluetooth-enabled smartphone apps for digital contact tracing. These apps work by Bluetooth signals emitting from nearby mobile phones to record contact events. When a user reports testing COVID-19 positive, the app uploads information to the central server and then, notifies to the relevant users by using the anonymous…[Read more]

Thanks so much for sharing, Ahko!
I agree with your points. Just to share my idea.
In the context of resource-limited settings like the EHO area, active surveillance can be a bit challenging and costly. Maybe we could do regular monitoring through weekly aggregated dengue reports. Once the cases reach a threshold level, health workers could go to…[Read more]

1. How can surveillance help to detect and control dengue?
Surveillance helps us know disease trends, seasonal patterns, geographic spread and vulnerable groups. This information is useful for planning actions like vector control or vaccination. Surveillance monitors trends to track changes in incidence and evaluate the impact of interventions.…[Read more]

1. Should you give the data out?
No, I cannot give the individual-level data because it contains private information. Sharing it would break privacy rules and ethical principles.

2. How do you avoid violating the General Principles of Informatics Ethics?
I must keep all personal information confidential, protect patients’ privacy, ensure the d…[Read more]

1. What should you do?
I should keep the patient’s information confidential and not share it with anyone. My duty is to protect medical records.

2. Can you tell your friend?
No. It is not allowed to share someone’s health information without their permission, even if it is my friend.

3. Can you interfere with family issues?
No. I should not get…[Read more]

I would like to share about the change of the same previous project during the implementation of the data validation system, in line with the ADKAR model.

Awareness: Staff were informed about the importance of improving data quality and the need for an automated validation tool.

Desire: Users were motivated to use the system since it supported…[Read more]

A successful system in my organization is the rule-based data validation system for patient data in the Health Management Information System (HMIS). The system was developed using an open-source Python application and is used to check the quality of data after data entry. It automatically identifies missing, inconsistent, or out-of-range values in…[Read more]

Example of Decision Support System (DSS) in our organization:
During my tenure with TDH, I learned about the Integrated e-Diagnosis Approach (IeDA), a digital health solution supporting primary health care workers in West Africa and Asia. Developed by TDH and the Burkina Faso Ministry of Health, IeDA digitalizes the WHO’s Integrated Management o…[Read more]

If hospitals do not use the ICD standard, health records will not be uniform. This causes confusion in diagnosis, problems in data sharing, weak public health reporting, difficulties with insurance claims, and trouble in international cooperation. In short, without ICD, the health system becomes less organized, less safe, and harder to manage.

Yes, I agree with the finding of Muhiyaddin et al. (2022) that EMR/EHR is one of the top causes of physician burnout. Many health officers say EMR takes too much time and creates stress. The common problems are heavy documentation, poor system design, and too many alerts. Doctors often need to work overtime, sometimes even at home, just to finish…[Read more]

Ajarn and classmates, thank you all so much for the valuable feedback and suggestions.

Hello Ma Wah, Thanks a lot for sharing. I learned a lot from this project. 😊 Let’s work together to make an app like this or something for our country after we finish this program!

This project is very interesting because it makes TB screening more accessible and cost-efficient, especially in low-resource areas. It would be better if the system could balance high sensitivity with better accuracy.

I think Electronic health records (EHRs) combined with wearable device data from thousands of patients. for example, Apple Watch is a great example of a device that generates Big Data in healthcare.

1. Volume:
It collects a large amount of data continuously such as heart rate, steps, sleep patterns, and ECG readings.

2. Velocity:
Data is…[Read more]

In my opinion, eHealth is the use of technology to make healthcare smarter, faster, and more connected.

Thanks for sharing, Ahma! Similar to my project, I also feel that using digital tools really helps improve workflow efficiency. At the same time, strong leadership commitment is just as important for driving system-wide change.

Thanks for sharing, Ahma. Open-source platforms like OpenMRS or OpenEMR are great for sustainability, though they can be a bit weak on performance, UI and UX. On the other hand, creating new custom platforms gives more flexibility, but they’re costly and create long-term dependency. I’m still figuring out the best balance between the two approaches.