Suppasit Srisaeng

1. In my experience, the biggest challenge to achieving sustainability in health information systems is the lack of user-centered design; some applications are not tailored to user needs, making them difficult to use and leading to reluctance or disinterest in their adoption.

2. EHIS should designed to adapt to changing needs and technologies by…[Read more]

1. Perceived ease of use and usefulness of a personal health record system may vary among different demographics, with younger individuals generally finding it easier to use, men potentially perceiving it as more useful for technical tasks, and higher education levels correlating with a greater appreciation of its usefulness and ease of…[Read more]

Thanks, Panyada. Your point is valid. Law enforcers would have this recommendation. I hope your sister is well soon. The hospital in Chumphon has good officers to investigate more cases of Dengue. Please eliminate potential sources of mosquito larvae, such as garbage, water containers, etc.

Thanks, Teerawat; that is a big point on the language barrier. mHealth with multiple languages would improve the system. That is a good idea. Although you don’t have experience in surveillance evaluation, you can keep in mind this study when you want to audit or evaluate any reporting system.

Thanks, Nichcha. Audition is crucial to maintaining a good system. Unfortunately, it rarely happens in many surveillance systems. But once it happen, it could benefit by many.

Your study appears to be a retrospective cohort study, if I’m not mistaken. It can also provide valuable recommendations for improving the report or data collection…[Read more]

Thanks, Thitikan; your recommendation provides concrete evidence and hit-to-the-point. You make a good recommendation for stakeholders. Also, Thailand’s COVID-19 surveillance system stands a test of time, and you wouldn’t believe me if I told you that it began on Google Sheets 😉

Thanks, Pyae. Yes, syphilis is a major STD disease that needs a good surveillance system to control.

Thanks, Weerapat, for your feedback; the EBS system that you engage would be very interesting, and it would be a dream project for public health professionals that can integrate various data organizations, standardize, and deliver helpful data to end-users. Hope you can done a great job 😀

Thanks, Soe, for your point; this hospital also has an EHR system. However, the report data may need a manual report that is not real-time. Interestingly, you have experience in real-time data surveillance that would have some filter system to report met criteria cases.

Thanks, Dr.Teeraboon, for your insight and feedback. It’s good to systematically pinpoint the critical points of the system, which is essential for improving the surveillance system. Also, military surveillance evaluation would be very interesting as it would have a more reliable report system than civilian surveillance.

1. Implementing AI in epidemic surveillance can be enhanced by integrating advanced data analytics, such as natural language processing and machine learning, to process vast multi-dimensional open-source data, including social media, news reports, and satellite data, for early detection of epidemic signals. Additionally, employing AI to filter,…[Read more]

1. To identify barriers and unmet needs in health information seeking among youth for HIV/STI and reproductive health beyond those discussed in the paper, additional factors to consider include the role of digital literacy and access to online health resources, cultural and societal norms affecting openness to discussing sexual health, peer…[Read more]

1. The model can select the 10 most influential factors, making it concise and effective. Surgeons can use a user-friendly interface to input patient data and receive alerts or recommendations. Additionally, integrating the model into a mobile app ensures accessibility and convenience. Training sessions for clinical staff and updated clinical…[Read more]

1. In Thailand, Subdistrict Health Promotion Hospitals in rural areas use the JHIS program as their Hospital Information System to record NCD patient data and prescribe drugs electronically. The JHIS program is easy to use and allows for efficient data transfer to a central server. However, it lacks interoperability with other hospital systems,…[Read more]

1. To improve the safety of medical AI systems, an approach from development to implementation is essential.

Input Phase: A Data Controller should audit the data used for training and testing AI to ensure that it is legally acquired and ethically sourced, avoiding any infringement of data privacy laws. This includes verifying the quality and…[Read more]

1. Body temperature as an additional predictor could enhance the accuracy of predicting PIH. Body temperature is a critical vital sign that reflects the patient’s overall physiological state and can influence hemodynamic stability. Perioperative hypothermia or hyperthermia can impact vascular tone and blood pressure regulation, potentially…[Read more]

1. Oncologists and medical doctors, as well as nurses and health professionals, can leverage ML-based symptom predictors to enhance patient care. These tools should incorporate the duration of symptoms to improve accuracy, and the prediction outcomes should indicate the probability of specific organ-related cancers. However, it is essential to…[Read more]

Thanks for your feedback, Nichcha! It will help improve my CRF 😀

Wow, Thitikan, your case report is detailed and clearly presents the questions under consideration. You did an excellent job on thoroughness and clarity. Here are my opinions on how to improve your work.

Screening Form
Date Format: Ensure the date format is consistent and clear. To avoid confusion, consider using “DDMMMYYYY” with the month in…[Read more]