Kevin Zam

Verification and Preparation
Establish the existence of an outbreak: IT systems such as automated disease surveillance, electronic health records (EHRs), and real-time dashboards help detect unusual increases in case numbers, triggering early warnings for potential outbreaks.
Verify the diagnosis: Laboratory Information Management Systems (LIMS),…[Read more]

One digital technology I like most apart from contact tracing app from Budd et al. (2020) is the chatbot used in the COVID-19 public health response. Chatbots are computer programs that can talk with people through websites, apps, or messaging platforms. They use artificial intelligence to answer questions, give advice, and guide people on what to…[Read more]

Thanks for your comprehensive response. I agree with your opinion on using facebook as a dissemination tool.

For dengue…

1. How can surveillance help to detect and control the disease?
It can detect outbreaks early and triggers rapid response (vector control, awareness campaigns) and monitor trends, seasonality, and geographic spread of dengue. Surveillance can help describe burden and risk groups (age, sex, area). It can evaluate the effectiveness of m…[Read more]

In the given scenario, a Western research team is asking data in detail at individual level for each disease case.
1. Should you give the data out?
No, I should not give out detailed personal data directly. It would break data privacy and confidentiality rules.

2. How do you not violate any of the General Principles of Informatics Ethics?
I must…[Read more]

According to the given scenario, my close friend’s husband has HIV and she did not know about that.

1. What should I do?
I should keep the patient’s information private and not tell anyone. My duty is to protect confidentiality.

2. As a health information professional – can you tell your friend?
No, I cannot tell my friend. It would break pat…[Read more]

Thanks Ko Aung for sharing the ADKAR model of OpenMRS system.

Thanks Ma Wah for sharing another system!

Using the same HMIS (DHIS-2) of Myanmar Public Health;
1. Awareness: Many staff are used to paper-based reporting and lack understanding of DHIS2 benefits. Communication meetings, orientation, and demonstrations were needed to explain why the change wass ncessary emphasizing improved data-driven decision-making.

2. Desire: Resistance arose from…[Read more]

Thanks Ma Wah for your sharing.

Please give an example of a system in your organization (either successful or fail). What are main factors that make the system successful or failure (Data, Cost, Operation, Design, and People)?
I would like to analyse the HMIS (DHIS2) of government for partially successful factors.
Data : even though the coverage was not all, HMIS could cover…[Read more]

Thanks for your sharing Ma Wah for comprehensive Malaria Reporting Platform.

One example of the decision support system for almost all organization I worked for, is checklist marking scale of recruitment. When we recruit a candidate, we transparently use predefined checklist of position we want with marking scale and during interview, we add or substract marks according to candidate’s answers.
The factors influencing the…[Read more]

Thanks for your discussion Ko Aung.

Thanks for your discussion Ama Wah.

If the hospital in a country do not use the ICD Standard, we need to ask if they are using other Standard first. If no standard is used, each hospital will write diseases differently making it hard to collect, compile, and compare in the national health information system which will cause obstacles in insurance claims, research, policy planning…[Read more]

Dear Ma Wah,
Thanks for your comprehensive and excellent response.
During my work in MSF, we, MD, had to fill up the FUCHIA forms which take around 3 to 5 minutes by hands on paper excluding the patient consultation and examination time (which altogether last around 15 to 30 mins per patients). However, the MD did not fill the EHR to system and…[Read more]

According to the article by Muhiyaddin R, et al., the six main problems causing Physicians’ Burnout are EHRs’ documentation and related tasks such as note taking and electronic communication in EHRs, EHRs’ poor design, workload, work overtime, inbox alerts, and alert fatigue.
Yes, I’ve heard similar complaints. Many health officers say that u…[Read more]

Dear Sayar Aung,
I can read your msg on LINE but my LINE app had some issues to reply anyone. You can reach me @ +959448001552 on viber, whatsapp or zamliankham@gmail.com for the group assignment.
I also agree with you on EMR being the first world’s problem. In developed countries, I heard that so many clinical and laboratory tests are carried out…[Read more]

Hi Ma Hteik,
According to my understanding, weekly health information data is collected by Kobo Collect and visualized in Power BI for the senior management to analyze and respond in your eHealth project. Quite an interesting project to implement in resource limited setting such as Myanmar!