- This topic has 8 replies, 5 voices, and was last updated 2 weeks, 3 days ago by
Salin Sirinam.
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2025-11-04 at 3:00 pm #51788
Salin Sirinam
ParticipantHere I summarize the proposed Thailand’s Chronic Kidney Disease Surveillance System (CKDSS) to strengthen national CKD monitoring.
In Thailand, we currently have the Renal Replacement Therapy database (TRT registry) and the CKD Working Group database in the northeastern region (CKDNET). As a nephrologist, I aspire for Thailand to have a national CKD registry similar to those in the US or UK/Europes to early detect and improve the quality of kidney care nationwide.
I hope you enjoy watching my presentation on this example of a non-communicable disease surveillance system.
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2025-11-06 at 11:10 am #51824
Hteik Htar TinParticipantAs NCD is one of the burden on healthcare, the CKDSS is very impressive to learn, Salin. Congratulations for your presentation! I would like to ask one question as this is differnet from infectious one. How often will you collect the data and analyze at the regional or national office? Do the physician or laboratory technician involve in that? Thank you
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2025-11-10 at 1:10 pm #51916
Salin Sirinam
ParticipantThank you for your comment, Hteik 🙂
Since CKD is a slowly progressive disease, data collection will be continuous through the EHR system once abnormal values meet the pre-defined criteria, with automatic extraction from laboratory records. Additionally, data will be aggregated and reviewed monthly at the hospital level, and analyzed quarterly at the regional and national levels to monitor trends and ensure data quality.
Both physicians and laboratory technicians are involved. Physicians verify CKD diagnoses and follow-up status, while lab technicians ensure the accuracy of test results before they are transferred into the CKDSS.
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2025-11-06 at 7:52 pm #51848
Kevin ZamParticipantHello Salin,
Very interesting surveillance system with (11.6 M) 17.5% of Thailand’s population (71.7 M) affected and 160,000 dialysis cases in 2023.
As the case definition is by laboratory test and highly technical one, I think this CKDSS cannot be used for general public right?-
2025-11-10 at 1:15 pm #51917
Salin Sirinam
ParticipantHi Kevin! So although the CKDSS is based on laboratory and clinical data, it can still be used for the general public, especially during the dissemination stage. After data analysis, the results provide important information on the burden of CKD in Thailand, which can be used to increase public awareness and engagement. Recently, public health authorities have hosted campaigns addressing the NCD burden in Thailand, using information from the surveillance system to raise awareness and promote preventive strategies.
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2025-11-08 at 10:53 am #51872
Wah Wah LwinParticipantHi Khun Salin!
It’s a great presentation! Thank you for sharing your experience and knowledge on CKD. I think your presentation covers all the required components for the surveillance system, and you presented them in chronological order. I have also noticed that Thai population have faced CKD burden due to underlying metabolic diseases, and yes, it requires an effective government health system to address the burden.
Regarding your presentation, I only have one comment, it would be a great idea if you add how evaluation results can benefit to transform the better health care system and support the decision makers for long-term impact.-
2025-11-10 at 1:19 pm #51918
Salin Sirinam
ParticipantThank you for your insightful comment as always! I totally agree that linking evaluation results to long-term impact is also important. Especially in the CKDSS, the evaluation indicators such as data accuracy and user feedback can inform policymakers about areas needing improvement, helping early detection programs and overall CKD care.
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2025-11-09 at 10:35 am #51881
Jenny BituinParticipantHi Salin, thank you for your great presentation. In your data collection method, data will be automatically extracted from EHRs. May I know what tool/s will you use for the data extraction?
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2025-11-10 at 1:33 pm #51919
Salin Sirinam
ParticipantHi Jenny 🙂 I have limited IT knowledge, but I think data extraction from EHRs would use SQL to structure and integrate data, Python or R to clean and automate it. Additionally, AI/NLP to extract structured information from texts like radiology reports, before entering the CKDSS.
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