 Aesop Technology tackles a different challenge: information overload. Founded as a research project at Taipei Medical University (TMU) in 2011, Aesop began by detecting prescription errors in Taiwan’s vast NHI database. Today, it has evolved into a comprehensive clinical-decision platform that uses AI to guide doctors through complex treatment pathways in real time. Aesop Technology cofounder and Chief Product Officer Jeremiah Scholl argues that some of the most transformative uses of AI come from decision support. “Our AI doesn’t tell doctors what to do — it helps them find the information they are looking for to make decisions much faster,” he says. Embedded directly into hospital electronic records, Aesop’s software, named 𝗠𝗲𝗱𝗶𝗴𝗮𝘁𝗼𝗿, automatically loads the latest U.S. National Comprehensive Cancer Network (NCCN) cancer-treatment guidelines, cross-checks them with patient data, and provides physicians with the most recent published evidence that is relevant for their patient. Of the products Aesop offers, Medigator continuously scans journals and clinical-trial databases, updating recommendations within hours of new findings — a process Scholl describes as “bringing the latest data quietly into the doctor’s workflow.” The platform was made possible through the national data exchange already established in Taiwan, which has allowed physicians to share patient data securely across hospitals. The foundational research projects at TMU obtained access to this data to develop the AI models it uses, showing how Taiwan’s healthcare infrastructure is shaping the island into an AI-enabled healthcare powerhouse. At a broader level, Aesop’s analytics evaluate how well hospitals adhere to international standards and where real-world results diverge, giving tumor boards and research partners a clearer picture of where care can improve. By connecting guidelines with real outcomes, Scholl says, Taiwan’s hospitals can turn overwhelming data into practical insight — “making accuracy routine, not exceptional.” *This is an excerpt from the article.
Digging for data
Any AI system needs to learn from data – the more the better. Taiwan has a trove of data to feed on thanks to its National Health Insurance (NHI)system, which was launched in 1995 and covers more than 99% of the population. In recent years, the government has allowed access to this extensive data for research and development. One startup to take advantage of this opportunity is AESOP Technology, which has offices in Taipei, Berkeley, California, and Cambridge, Massachusetts. AESOP is trying to reduce a major risk to patients’ health globally: medical errors, specifically prescription errors. In Taiwan, they analyzed NHI data and found at least 3 million incorrect prescriptions each year, from incorrectly filled out forms to prescribing the wrong drugs or dosages. “Everyone thinks hospitals are high-tech, but in hospitals, the staff records patients’ status on white boards,” said Jim Long, CEO of AESOP. “Doctors spell drug names wrong – even common drug names that sound like and look like other drug names.” |
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