Salin Sirinam

Thank you for the comment ka. I saw physicians in the U.S. using it in their OPDs. In Thailand, tech start-ups are now developing AI software that can record conversations between doctors and patients and automatically summarize them into HIS/EMR systems, such as Prescribe AI. I think further development is still needed to improve transcription…[Read more]

Based on the hospitals I work with, the CDSS examples include pop-up alerts during drug prescriptions, such as dosage adjustments for body weight, and allergy warnings. These help reduce prescription errors and reviews.

Factors that could influence the implementation of CDSS are:
– Users: Their trust in the system. Alert fatigue
– Technical:…[Read more]

Apart from interoperability, data analysis and sharing, health surveillance, and billing that were already mentioned, without ICD (or other standardized tools), it would be difficult to develop EMR or decision-support systems. Hospitals may also struggle to adopt IT tools that are meant to reduce the workload of health professionals. This can lead…[Read more]

Hi Hteik! Thank you for your presentation about KOBO. The VDO helped me better understand how the KOBO works, after previously reading peers’ mentions of it. I agree that this project improves field staff’s monitoring and response efficiency. It also enables faster communication between field staffs and regional teams or other stakeholders, s…[Read more]

I agree with the pilot testing step, especially the idea of including proper feedback mechanisms. In my opinion, feedback should be gathered regularly, especially right after launching with more frequent hearing sessions, so that the EMR can be continuously adjusted and made more user-friendly.

I agree with the review that EMRs can cause physician burnout. It aligns with my experience from working with different EMRs in different hospitals, where it clearly shows that design and user-friendliness are very important. Some hospital EMRs cause me frustration when they require too many windows, run too slowly, or force me to go back and…[Read more]

Thank you for your comments :). I agree with your point about making the app accessible to all communities. In reality, some people are not aware that these options are available on the app. In my opinion, this tool is especially useful in big cities like Bangkok, where there are multiple health benefit schemes and various health centers, and…[Read more]

I agree that this could be the slogan of eHealth.

I would propose eHealth definition as the use of technologies to empower individuals to manage their health, communicate among all health stakeholders, and make uses of health data sources to improve health care widely.

I agree with your explanation of the 7V characteristics of EPI data. I also would like to add that EPI data can provide more values, such as being used for epidemiology research, economic studies in the cost-effectiveness of vaccination programs, and social sciences e.g. to understand the barriers of vaccine uptake. Therefore, it is valuable not…[Read more]

I’ll give the example of big data in chronic kidney disease. Big data in the nephrology field can involve not only national databases such as the renal registries in the U.S., UK, Europe (ERA), etc, but also data collected through EHR/administrative claims, clinical trial registries, mobile health devices, and molecular databases. These big d…[Read more]

Since the main cause of the attack was a staff clicking a phishing link, I think they could use some extensions that warn users before opening any suspicious links. MFA could also help if a staff clicks a phishing link, the authentication is still required to gain access.

I would add that they should also implement a rapid response plan for such incidents, in order to ensure that any suspicious activity is detected and acted immediately.

I suggest enforcing its policies by limitng third-party access to critical systems, regular motoring unusual activities and software updated. For the account side, MFA can as well help.

I agree that health workers are one of the main challenges. That’s why health informatics also involves people management in order to make the system friendly for the front-line staffs, while still maintaining data quality that can support public health.

My background is a kidney doctor taking care of dialysis patients. In Thailand, we have the Thailand Renal Replacement Therapy (TRT) Registry, a nationwide database that covers around 98% of dialysis services across the country. It integrates data from hospitals and dialysis centers using standardized forms and electronic submission. The TRT…[Read more]

I like your example. This also happened on social platforms in Thailand. People often share their personal information, and sometimes it could even be biometric data. These tricks are dangerous for those who are not aware of it.