Cing Sian Dal

This week, I’ve learned about laws (in Thailand) applicable to health professionals and the AMA Code of Ethics in Telemedicine. We’ve discussed risks, benefits, and ethical and legal concerns about telemedicine.

This week, personal data is the highlighted topic relating to regulations, including its compliance process and challenges.

Very neat and practically clear design which is very friendly with data collector, especially in wide tick box.

In my opinion, I would remove weight in collecting demographic data, which I assume that it cannot be associated with the study.

Physical examination is well categorized including a detail section to provide its abnormal codes.

I am…[Read more]

I agree that standardization in the first place removes additional workloads and errors such as merging and combining dataset as you described.

Interoperability (exchange layer) is not only standardizing variables and tables (storing layer) but also a powerful advantage which allows seamless communication easily as you mentioned.

I agree that standardization streamline the review process as the nature of research includes sharing to other parties. This facilitates a lot faster and drive innovation faster.

The Nuremberg code is worth mentioning. It is the mother of all ethics and regulations for humanity’s safety. The summary of fundamental ethical principles in the infographics is very helpful to understanding at one glance.

Very detailed and concise infographics including our discussion points. As Jumbo discussed in the webinar, there could also be a case in which employees sometimes do not differentiate between ethical and unethical actions. In that case, as you mentioned in the graphics, reinforced training would be definitely helpful.

This week, we were introduced to the principles of ethics (general principles as well as principles for health informatics). Then, we were provided a case study of ethical and legal issues if an external person is outsourced for research. We also learned the 4-factor assessment for breach. Individuals have duties and obligations to be followed…[Read more]

It’s an interesting challenge, especially in the transition to be more flexible, secure, and efficient while the number of staff increases as the transition proceeds. In this modern day, I believe that utilizing open-source vision-purpose LLM can facilitate the digitalization process.

It seems impossible to me to validate the data collected from the paper. If data integrity matters and resources allow, checking missing mandatory fields during paper-based data collection and double entry check during data transformation should be prioritized.

I would simplify the normal way of encoding presence or absence as binary digits for pregnancy tests: 0 for negative, 1 for positive like in a physical examination where 0 is normal, and 1 is abnormal.
This could help in data analysis consistently with 0 as false, absent, or negative and 1 as true, present, or positive.

The obvious benefit of having data standards regardless of any purpose is that they make data communication easier. Otherwise, data must be re-aligned for interpretation in multiple formats for different partners.

One simple example is the date format. Let’s suppose we are going to collect blood pressure including these indicators: systolic…[Read more]

My team and I conducted the best way to manage computer systems to provide access systems and data internally and externally. The requirements include more than data quality and integrity with audit trial, user authentication, access control level, checks, data backup, and recovery support.

In scoping down for data management, we can think about…[Read more]

Thank you for sharing your experience, Aung. My valuable lesson from the lecture is that determining the data collection method should be based on the familiarity of people at the operational level because my experience with communities suggests that electronic data capture (a method unfamiliar to data collectors despite being trained for several…[Read more]

I agree that community-based surveys can not satisfy this workflow standard. Data checks are also essential before processing data for analysis if paper-based data collection is used. Additionally, I think that we could also add single or double data entry with manual or peer review to ensure the quality of data.

In my experience, the data collection and management process is very simple, involving setting up data type and validation, data collection, and data visualization. When it comes to data entry, there was neither double data entry nor single data entry with manual review. The given workflow also seems unrealistic for underserved communities with…[Read more]

Thank you for sharing the tips, Aung. Yes, the result suggests different answers for other questions. It was due to the survey design misleading to other result and the questionnaires were not sticked to the research hypothesis.

I agree that field-based and remote-based experiences are different. Not only are data skills important, but also communicating between multiple stakeholders (focal person, research team, technical team) requires a lot of soft skills. Because the way we communicate can impact the result (I would call it communication bias)

In Oct 2021, I conducted mental health pilot research on whether playing mobile games is one of their mental reliever, targeting young adults between 15 and 30 years old, experiencing the political unrest and civil war following the coup.

The primary data were collected quantitatively via an online form. There were not any problems regarding the…[Read more]