For this March’s International Women’s Day series, we spotlight Yan Chun’s unconventional journey. Swapping acupuncture points for data points, she transitioned from a Traditional Chinese Medicine (TCM) practitioner to a Senior Data Analyst in HealthTech – an unexpected shift that bridges two seemingly different worlds. Drawing from her clinical experience, from diagnosis to treatment, she brings a unique perspective to the Data Analytics and AI (DNA) Department, where she integrates a keen awareness of human impact into data-driven solutions.
Her inspiring career transition into HealthTech highlights the value of clinical expertise in enhancing patient care on a broader scale. Her story is a testament to the fulfilment that comes from applying diverse, yet surprisingly complementary, skills to make a difference in a purposeful career like healthcare.
Can you share more about your role and expertise?
As a data scientist in DNA, I primarily leverage data analytics and AI to improve healthcare outcomes. I work very closely with doctors as well as counterparts from the Ministry of Health (MOH) to come up with solutions to improve the efficiency of healthcare in Singapore.The process of creating effective solutions includes developing models that drive data-driven decision-making, optimising healthcare workflow processes, and ensuring that the data insights we gather translate into meaningful improvements for patients and healthcare professionals.
Some notable projects that my team and I embarked on were the development of a chatbot within Tandem, and ACE-AI, short for Assisted Chronic Disease Explanation using AI. Tandem is a collaborative multi-purpose platform built by Synapxe for healthcare professionals, and it allows them to do tasks such as composing messages, brainstorming ideas, text summarisation, and writing and debugging code.
Powered by Generative AI, one of the chatbot’s functions include helping our Synapxe Clinical Informatics team to quickly obtain answers to queries related to medical terminology and diagnostic codes. On the other hand, ACE-AI is a pilot tool that uses an AI algorithm to alleviate clinicians’ workload by predicting the likelihood of patients developing chronic conditions within the next three years, such as high blood pressure, with about 85% accuracy.
What motivated you to join HealthTech as a TCM practitioner?
While pursuing my double degree in Chinese Medicine and Biomedical Sciences, and gaining experience in Beijing, I noticed the significant administrative issues and workflow inefficiencies that TCM practitioners face. This sparked my interest in exploring ways to both alleviate the burden of manpower shortage and tackle optimisation challenges. I recognised that tech is a powerful tool that can ultimately create an impact on a wider scale.Health and well-being have always been important to me, both as a former student athlete and a TCM practitioner. At the same time, I have always enjoyed working with numbers and solving problems. This led me to pursue a Master of Science in Business Analytics, which also prepared me for my current role in HealthTech.
How did your loved ones react to the career switch?
My loved ones were not surprised because they knew my passion for problem-solving. However, some colleagues were very surprised. Many assumed that TCM and HealthTech required completely different skill sets, but I have found that there are actually strong parallels between the two fields.What are some similarities between working in TCM and Data Science?
Both fields require strong analytical and problem-solving skills. In TCM, I had to assess symptoms holistically to determine the right diagnosis for my patients. In Data Science, I take a similar approach, analysing complex datasets, identifying issues and uncovering hidden insights.Additionally, both roles involve collaboration and tailored problem-solving. With my patients, I work closely with them to create personalised treatment plans for their recovery. Now, as a Data Scientist, I collaborate with business analysts and other stakeholders to co-develop solutions that enhance our healthcare system.
What is your superpower as a woman working in HealthTech?
My superpower is my ability to see beyond the data and understand the human impact of technology. This allows me to be a bridge between tech and clinical care.HealthTech is not just about algorithms and systems — it is about improving the lives of millions. I hope to translate data-driven insights into real-world benefits for patients, clinicians, and even policymakers.
What has your experience been like working in tech, a traditionally male-dominated industry?
I am fortunate to work in a diverse and inclusive environment. In Data Science, there is a strong recognition of the value that different perspectives bring to problem-solving and innovation.
I also believe that women bring unique strengths to the field. For example, many of us are naturally meticulous, which is crucial in data science when working with complex datasets and ensuring accuracy. We are also skilled multitaskers, balancing multiple priorities while maintaining attention to detail – an essential trait in a fast-paced, high-stakes environment like healthcare.
Additionally, strong communication skills help bridge the gap between technical teams and stakeholders, allowing us to play a key role in shaping the future of HealthTech.
Can you share some words of advice for aspiring women in tech?
Be inquisitive, believe in your abilities, and embrace lifelong learning.
Tech evolves rapidly, so continuously upskilling is key, if not the key. But remember, success is not about knowing everything from the start. Many skills are learned on the job, and making mistakes is part of the process. Be open to feedback, iterate, and learn something new every day.
How can we inspire more young women to explore careers in HealthTech?'
Representation matters. Seeing more female role models in the industry can help break barriers and change the narrative about tech being highly technical and male-dominated. This would inspire confidence in young women to believe that they can belong here too.
HealthTech is not just about coding. It involves creativity, problem-solving, and collaboration—skills that women excel in.
Lastly, showcasing the diverse roles in tech, from AI ethics to health informatics, can help women find career paths that align with their interests and strengths.
At Synapxe, the national HealthTech agency, it’s more than just a job – it’s a fulfilling journey that allows you to shape your career while building HealthTech for public good. If you have a passion to shape the future of HealthTech in Singapore, find out more here!
