Myo Thiha

[Myo Thiha]

As an attacker, I would like to identify the weakest part in a security system to get confidential information.

Physical access – One possible way is through direct physical access to a device or server, or a password book. For example, some users save their login credentials on browsers like Chrome and leave their computers unlocked. Besides, most people write down all of their passwords in a book or in a notepad.

Password reuse – In addition, many people use the same password across platforms. If you know that password, you can access all his confidential information.

Simple or default password – Another approach is to guess and try a simple password and the default password. Sometimes, the admin shares the user account with the default password like “admin”, “user”, or “serial number”, and the user has not changed that password. This is the easiest way to get confidential information.

Demographic information-based password: Furthermore, passwords created from demographic information, such as name, birthday, or NRC, are easy to breach. Finding this vulnerability is another way to gain access.

Through social engagement, I could also manipulate or trick an employee or someone close to the victim who is trusted. This is another way to access it.

Phishing: Lastly, I can conduct phishing attacks via email or a link.

[Myo Thiha]

I want to propose choosing the cloud server rather than the physical server because of the following reasons:
1. Access to resource: Easy and fast access to computing power and storage, without purchasing expensive hardware
2. Mobility: The doctors and the patients can be accessed from anywhere in the world
3. Scalability: The cloud services use a monthly subscription and pay-as-you-go model. So, we can scale up or down based on the case load, patient demands, without over-investment
4. Data security: The providers offer strong security, such as encryption, backups
5. Cost effectiveness: No need the large investments in servers, equipment, or additional IT staff. This is cost-effective rather than a physical server
6. Maintenance and support: The providers handle the system updates and technical support, which reduces the burden on IT staff

Moreover, I think Platform as a Service (PaaS) is the most appropriate cloud computing service model in the given setting. If we choose the Software as a Service (SaaS), the software may not fit the requirements of the hospitals. If we choose the Infrastructure as a Service (IaaS), the hospital may need more IT staff, or the existing IT staff can have an increased workload. So, I would like to propose choosing the PaaS to customize the patient appointment needs with interoperability measures without worrying about the server setup and technical issues.

[Myo Thiha]

The usage of advanced information technologies in outbreak management is on the rise in this era. Besides, knowledge and skills in health informatics are strengthened in outbreak detection, response, and control.

Starting from outbreak detection, health informatics allows real-time surveillance by collecting data from healthcare workers, hospitals, laboratories, etc. The recent case of the COVID-19 outbreak has given an opportunity to showcase that these technologies have the capacity to produce accurate, real-time, and reliable predictions on issues as serious as a pandemic outbreak. According to the article (1), BlueDot and Metabiota managed to correctly predict the spread route of the virus days before such events happened and were officially announced by the World Health Organization. This case highlights how the usage of information technology and health informatics enhances early detection of outbreaks and outbreak responses.

The health information system (HIS) can also strengthen the outbreak response. With the help of HIS, like contact tracing, caseload mapping, the government officials can identify the high-risk group for early vaccination, lockdown townships, and quarantine facilities, and promote evidence-based decision-making and resource allocation during the COVID-19 pandemic in Myanmar.

Data visualizations, dashboard helps the authorities to track progress and adjust the strategies and policies. For example, Johns Hopkins COVID-19 Dashboard gave global, real-time updates that guided policy and public awareness to policymakers.

In conclusion, health informatics transforms raw health data into actionable knowledge, making early outbreak detection, easier response, and control effective.

1. Allam Z. The Rise of Machine Intelligence in the COVID-19 Pandemic and Its Impact on Health Policy. Surveying the Covid-19 Pandemic and its Implications. 2020:89–96. doi: 10.1016/B978-0-12-824313-8.00006-1. Epub 2020 Jul 24. PMCID: PMC7378493.

[Myo Thiha]

According to the background, I believe I have basic knowledge and skills in the following disciplines:

1. Information Science – I have professional experience in data and information management. These experiences enable me to collect, organize, store, manage, and disseminate the data and information. However, in relation to big data and statistical analysis, I need to enhance my capabilities in these fields.
2. Computer Science: I have basic knowledge in computer science. But, I have low knowledge in algorithms, data structures and programming languages, AI, and machine learning.
3. Management: I have experience in human resources management, strategic management, project management and information management. But I believe my knowledge and skills in management settings are basic.
4. Organizational theory: I am familiar with my organizational structure, strategic directions, behaviors, and change.
5. Public health, epidemiology, and statistics: As my academic background is in community health, I have basic knowledge in public health, epidemiology, and statistics.

In conclusion, I need to enhance all disciplines. Additionally, I believe this program will enable me to enhance my existing capabilities and learn new things, especially in information science, statistics, public health, epidemiology and political science, and computer science.

[Myo Thiha]

Hello everyone,
My name is Myo Thiha, but you can call me Leon or Thiha.
I have a professional background in Monitoring, Evaluation, and Learning (MEL), including research and experience in health system strengthening and overseeing the development of electronic health record systems. I am excited to join this program to enhance my skills and competencies. I look forward to learning, sharing, and networking with all of you. It’s a pleasure to meet you!

[Myo Thiha]

Thanks for sharing your experience. This is impressive.

[Myo Thiha]

I think I need to learn Python and some automation tools from you. 🙂

[Myo Thiha]

Thanks for your discussion. I have learnt the Master Patient Index (MPI) from you.

[Author]

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