Maharaj Nakorn Chiang Mai Hospital, an affiliate of Faculty of Medicine, Chiang Mai University, in collaboration with IBM , have successfully completed a pilot initiative using Generative AI (Gen AI) to automate laboratory orders that support patient diagnosis and improve confidence, quality and speed in treatment.
IBM’s Client Engineering team collaborated with Med CMU to build model with watsonx.data and watsonx.ai to analyse and interpret doctor’s notes, recommend treatment pathways, and automatically handle laboratory orders and bookings, streamlining the process and improving efficiency. The collaboration complemented the hospital’s recently launch fully automated medical laboratory system with seamless, end-to-end processes, which is believed to be the first and only such system in Southeast Asia.
Built on transparent, reliable data under global AI governance standards, the initiative is expected to enhance service efficiency, reduce patient waiting times, and support medical decision-making with accurate, comprehensive insights, increasing treatment confidence, quality, and speed.
“This successful milestone underscore our vision of creating excellence in service, treatment, and research development – not just in Chiang Mai or Thailand, but leading in ASEAN, aimed at maximum efficiency, quality, and patient satisfaction,” said Professor (Specialist) Dr. Bannakij Lojanapiwat, Dean of the Faculty of Medicine, Chiang Mai University. “Choosing a world-class AI technology like IBM watsonx demonstrates our commitment to patient confidence, emphasizing system reliability, safety, transparency, and international healthcare standards.”
The Faculty of Medicine, Chiang Mai University is the pioneer in implementing advanced technologies that is founded on trusted and unbiased data. The implementation of credible AI governance from the outset would boost patients confidence in AI in the long run. Separately, Med CMU has also recently piloted AutoAI to support patient service app development, helping its data scientists write code to improve efficiency and reduce development time for future patient treatment and service applications.
Anothai Wettayakorn, Managing Director of IBM Thailand, said, “Today, no one can deny AI’s capabilities. What distinguishes Maharaj Nakorn Chiang Mai Hospital is its focus on digital platforms, AI, and reliable, accurate data within the medical governance frameworks – elements that directly reflect treatment and patient service quality. The medical team’s vision and commitment are evident in the success of our collaboration and will serve as a model for service and treatment quality development in Thailand and ASEAN.”
