Pongthep Miankaew

The code of Python is easy to read and understand. We can build a simple app using Python without knowing complicated code.

Thank you,
Pongthep

In my personal opinion, we can build mobile apps with Python, but I’m not sure if app developers will like it or not. Due to the development of mobile apps with Python, it is necessary to learn its specific platform, such as Kivy.

For the field of data science, most people agree that Python is a popular tool.

Thank you,
Pongthep

If we take a look at the results of the survey about the most popular programming languages, many surveys have shown that the most popular languages are Javascript and python, so start learning C langauge, it’s easy to learn that languages in the future.

Thank you,
Pongthep

Creating real-time reports requires data collection tools. The data must be in good quality, accuracy, and timeliness. Once the data is keyed in, you may need a set of data warehouse tools, for example, an integration service tool for data integration and transformation into the same standard, before then generate reports. In terms of PM 2.5 data,…[Read more]

Great idea! Developing a mobile app for health data collection, especially the collection of vaccination and treatment history data. One thing that has to be very important is data integrity. In the process of data collection, data store, and data retrieval, there must be a mechanism to ensure that the data has not been altered by any unauthorized…[Read more]

Well, Django is a great platform that has many tool components and packages. However, if you are a beginner in app development, in my personal opinion, Flask platform might be easier.

Thank you,
Pongthep

Nice idea to collect the data using a hybrid mobile app, if your app does not connect to mobile phone’s hardware like camera, gallery, and memory. Your mobile app can send the data to an online database, then visualize it as reports or dashboard in a web app on the bigger screen.

Thank you,
Pongthep

In my opinion, I totally agree. Python is a good choice to start with. It is simple, but if you can master in it with some skills, it’s so powerful, especially in data science fields.

Thank you,
Pongthep

Python is a popular open-source. It has a lot of libraries not only for data science, but also data exploring and text processing. Yes, when we are looking for a tool for web scraping, Python is a good choice.

Thank you,
Pongthep

Yes, absolutely, with the cross-platform technology, we can build an mobile app by coding once, and then deplpy to several OS like iOS, Android, and Windows.

Thank you,
Pongthep

I agree. Absolutely, when comparing native apps and cross-platforms which coded once and deployed to multiple OS like ios and android, native app has better performance because it manage mobile phone’s resources better.

Thank you,
Pongthep

I think if you don’t know much about programming, Python might be a good choice, nowadays high school students are starting to learn Python because it is easy to learn and understand. Also, Python is very popular in data science. However to choose which language, it depends on what type of apps we will do and choose a language to suit our skills…[Read more]

Nice post and very comprehensive. Again, HL7 standard, for example, could help to exchange data between different systems.

Thank you for sharing,
Pongthep

Well, I think you should talk to your IT guys to implement a technology we called “Active Directory” in your organization. Typcially, an active directory is installed on a LAN server. It controls user login, permission, email, file servers, printers, and etc. With active directory implemented, you can login on any workstation to access your files…[Read more]

Nice post. Your opinion is comprehensive. In terms of paper-based system, sometimes it is hard and takes time to transform the paper-based work flow to a digital information system, howerver if we dont’ want to change the way what doctors and nurses are doing by writting on papers. From my experience, we can use a tool called “OCR-Optical…[Read more]

Same as you mentioned, in Thailand, we have a malaria information system too. It is in the project of Thailand malaria elimination program. In the applicatoin, there are many mudules, for example, patient data entering, follow-up, drug dispensing, foci, entamology, mapping, logistic management, and project budget management.

Thanks for sharing…[Read more]

I totally agree. In developing countries, implementation of information systems requires not only the big budget but also the availability and accessibility of the Internet too, especially in rural areas.

Thank you,
Pongthep

Absolutely, data inconsistency could lead to inaccurate analysis and report generation. So, when we disign and implement a health information system in every level, we need a system, software, application, and database that can facilitate the data validation and cleaning in order to get a good quality of data.

Thank you,
Pongthep

Certainly, to share the same standard and definition, we need a set of standards here. For example, HL7 for healthcare data, or CDISC (Clinical Data Interchange Standards Consortium) for clinical trial data.
Thank you,
Pongthep

Although each health care whether private or under government are using different software, however as far as I know, I think that the Ministry of Public Health may have a set of standard file system like the 43 files system for supporting the data sent from the healthcare providers throughout Thailand.

Thank you,
Pongthep