{"id":6889,"date":"2026-04-27T16:44:27","date_gmt":"2026-04-27T08:44:27","guid":{"rendered":"https:\/\/medicine.nus.edu.sg\/nuhscg\/?p=6889"},"modified":"2026-04-27T16:44:29","modified_gmt":"2026-04-27T08:44:29","slug":"champ-evaluating-a-whatsapp-based-chatbot-for-self-monitoring-of-blood-glucose-in-type-2-diabetes","status":"publish","type":"post","link":"https:\/\/medicine.nus.edu.sg\/nuhscg\/champ-evaluating-a-whatsapp-based-chatbot-for-self-monitoring-of-blood-glucose-in-type-2-diabetes\/","title":{"rendered":"CHAMP: Evaluating a WhatsApp-based Chatbot for Self-Monitoring of Blood Glucose in Type 2 Diabetes"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Self-monitoring of blood glucose (SMBG) is a cornerstone of effective diabetes management. However, in many healthcare settings, SMBG relies on manual, paper-based logging methods. These processes are often cumbersome for patients, prone to incomplete or inaccurate data capture, and poorly integrated with electronic health records (EHRs). As a result, clinicians may lack timely access to patient data, limiting their ability to provide responsive and personalised care.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To address these challenges, the Chronic Disease Management Programme (CHAMP), developed by the National University Health System (NUHS), introduces a digital approach to SMBG. CHAMP leverages a WhatsApp-based chatbot that enables patients to log blood glucose readings via text messaging, and receive automated rule-based feedback on diabetes management. Importantly, the system is integrated with EHRs, allowing healthcare providers to monitor patients in real-time and intervene promptly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Telehealth Core, in collaboration with the National University Hospital (NUH) Division of Endocrinology, is evaluating CHAMP as a digital intervention in the diabetes clinic. The study aims to assess its effectiveness, safety, and usability against standard paper-based monitoring. A pilot crossover study with 40 patients with type 2 diabetes is being conducted, in which participants complete one week of standard care and one week of using CHAMP. The study adopts a mixed-methods approach, combining surveys on diabetes self-management behaviours and usability with semi-structured interviews to capture in-depth patient experiences. Findings will provide early evidence on the feasibility of integrating chatbot-based SMBG into clinical workflows, and inform its potential for scalable implementation within NUH and beyond.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"247\" src=\"https:\/\/medicine.nus.edu.sg\/nuhscg\/wp-content\/uploads\/sites\/6\/2026\/04\/CHAMP-Figure-1024x247.jpg\" alt=\"\" class=\"wp-image-6890\" srcset=\"https:\/\/medicine.nus.edu.sg\/nuhscg\/wp-content\/uploads\/sites\/6\/2026\/04\/CHAMP-Figure-1024x247.jpg 1024w, https:\/\/medicine.nus.edu.sg\/nuhscg\/wp-content\/uploads\/sites\/6\/2026\/04\/CHAMP-Figure-300x72.jpg 300w, https:\/\/medicine.nus.edu.sg\/nuhscg\/wp-content\/uploads\/sites\/6\/2026\/04\/CHAMP-Figure-768x185.jpg 768w, https:\/\/medicine.nus.edu.sg\/nuhscg\/wp-content\/uploads\/sites\/6\/2026\/04\/CHAMP-Figure-1536x370.jpg 1536w, https:\/\/medicine.nus.edu.sg\/nuhscg\/wp-content\/uploads\/sites\/6\/2026\/04\/CHAMP-Figure-2048x494.jpg 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"Self-monitoring of blood glucose (SMBG) is a cornerstone of effective diabetes management. However, in many healthcare settings, SMBG relies on manual, paper-based logging methods. These processes are often cumbersome for patients, prone to incomplete or inaccurate data capture, and poorly integrated with electronic health records (EHRs). As a result, clinicians&#8230;","protected":false},"author":9459,"featured_media":6891,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rs_blank_template":"","rs_page_bg_color":"","slide_template_v7":"","footnotes":""},"categories":[43,1,24,47],"tags":[],"class_list":["post-6889","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-example-projects","category-news","category-telehealth-core","category-updates"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CHAMP: Evaluating a WhatsApp-based Chatbot for Self-Monitoring of Blood Glucose in Type 2 Diabetes | Example Projects, News, Telehealth Core, Updates | NUHS Centre Grant - Singapore Core Facilities for Diabetes, Infectious Diseases and Neuroscience<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/medicine.nus.edu.sg\/nuhscg\/champ-evaluating-a-whatsapp-based-chatbot-for-self-monitoring-of-blood-glucose-in-type-2-diabetes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CHAMP: Evaluating a WhatsApp-based Chatbot for Self-Monitoring of Blood Glucose in Type 2 Diabetes | Example Projects, News, Telehealth Core, Updates | NUHS Centre Grant - Singapore Core Facilities for Diabetes, Infectious Diseases and Neuroscience\" \/>\n<meta property=\"og:description\" content=\"Self-monitoring of blood glucose (SMBG) is a cornerstone of effective diabetes management. However, in many healthcare settings, SMBG relies on manual, paper-based logging methods. These processes are often cumbersome for patients, prone to incomplete or inaccurate data capture, and poorly integrated with electronic health records (EHRs). 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