Soe Htike

Hi, everyone. Here is the link to my dashboard.
https://lookerstudio.google.com/reporting/aa872c88-914d-463a-a12e-a1855bf403de

It includes score cards, control buttons, drill down table, area chart, bubble map and line map. I tried to keep it simple and hope the filters work. Please let me know if there’s any error in my dashboard. Thank you all.

To better predict PIH, we can gather more data. We can start by monitoring the patient’s heart rate variability (HRV) and cardiac output to get real-time insights into their cardiovascular status. This can help us spot early signs of hypotension. We should also keep an eye on oxygen saturation levels during induction to catch any sudden drops that…[Read more]

Thanks for your wonderful explanation of a complex and sophisticated research field, Toby. I want to participate in your second discussion point.
Using machine learning to predict symptoms in cancer patients can be a game-changer. It can offer personalized care and timely interventions. However, we must be careful to avoid potential harm from…[Read more]

Hi, everyone. The links below are the screenshots of my data visualization for this week’s assignment, and here is the link to my looker studio project: https://lookerstudio.google.com/s/l-ocRayIxzU

Running Sum and Comparison
https://snipboard.io/or4GIT.jpg

Running Delta
https://snipboard.io/T4WxQk.jpg

Drill Down and D…[Read more]

Hi Kansiri,

I’m using 3.30.1 version. I agree with you about some interface changes in different versions, but I think most of the core functions are more or less the same. To make it easier to load dataset or shape file layers, I keep opening the browser panel and layers panel on the left side of the canvas. If they are not visible at the…[Read more]

I want to choose the WHO COVID-19 Dashboard. Please kindly see the link below for your reference.
https://data.who.int/dashboards/covid19/cases?n=o&m49=104

The dashboard contains a wide range of data, such as circulating variants, case counts, deaths, and vaccinations. It also offers global-scale data, invaluable for understanding the pandemic’s…[Read more]

Thank you very much for your suggestions, Teerawat. It’s really insightful. I understand that my CRF is way too simple and does not cover all the necessary variables after reviewing Nichcha’s CRF and reading your comments. I will try to get better in the future, friend.

Wow! I was amazed by your thorough CRF, Nichcha! You’ve shown your expertise and experience in clinical data management. I feel proud to review your CRF.

Your study ID naming system is awesome, and the skip logic and branching questions are also brilliant. In a constructive way, I’d like to suggest you include the current status of the…[Read more]

To avoid redundancy, we can exclude BMI from the CRF. It can be calculated using height and weight later if necessary. Calculating BMI separately also allows for flexibility in analysis, as researchers can apply different BMI categories or thresholds based on study objectives or guidelines without being constrained by a fixed variable in the CRF.

Implementing data standards in clinical research offers numerous benefits, including the ease of cross-study comparisons and meta-analyses. Dengue research, for example, involves conducting several studies across different regions and settings, each collecting data on various aspects of the disease, such as symptoms, disease severity, and…[Read more]

While I don’t have direct experience conducting clinical trials or similar study projects, I have managed data from my research endeavors, primarily involving quantitative and qualitative data analysis. Unlike the comprehensive processes described in my friends’ experiences, my data collection and management have been relatively straightforward. M…[Read more]

I have completed several steps in managing data, such as selecting methods for data collection, conducting interviews and surveys to collect quantitative data, recording qualitative data and translating it for thematic analysis, and encoding quantitative data into statistical software for analysis.
However, there are still some critical steps…[Read more]

I collected data to investigate the factors hindering or promoting compliance with the standard procedures for eliminating malaria among healthcare service providers in a township working towards malaria elimination. My objective was to provide insights that can be used to develop effective strategies for enhancing malaria elimination efforts and…[Read more]

This is my summary of what I’ve learned in week 4. Please see in the following link –> https://snipboard.io/tBJngY.jpg

I’d like to share my summary of this week.

https://snipboard.io/aKq2mT.jpg

Please kindly see the attached link for what I’ve learned this week.

https://snipboard.io/mNRoh9.jpg

I would like to share a link with you all about AI and ethics in health that I have learned this week.

https://snipboard.io/jSq0Wh.jpg

As a leader of a contact tracing team during the COVID-19 pandemic in Myanmar, I upheld various ethical principles and good practices to make a meaningful contribution to the control policy. First and foremost, maintaining confidentiality was of utmost importance. I ensured that all sensitive information regarding positive cases and their contacts…[Read more]

Myanmar has set a target of achieving Universal Health Coverage (UHC) by 2030 and has made progress towards this goal. The National Health Plan (2017-2021) was a key policy document of the former Ministry of Health and Sports. The plan has identified several critical areas that need attention to achieve UHC, including financial protection,…[Read more]

We have a shortage of qualified health informaticians in our country, and not many people acknowledge the importance of health informatics as a crucial component of the health system. The health informatics workforce in Myanmar faces significant challenges, such as awareness issues, high implementation costs, gaps in training programs, and…[Read more]