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 | Alex Myslinski |
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.”
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.
 | Yahoo Finance |
DxPrime, an AI-powered solution designed to enhance diagnostic accuracy through real-time integrity analysis and automated code translation, is now available on Mayo Clinic Platform.
Driven by AESOP Technology's Clinical Deep Reasoning Network Model, DxPrime customizes its insights based on specialty, gender, and clinical context to ensure diagnostic completeness and precision. It delivers explainable, real-time diagnostic feedback and automatically converts diagnoses into medical codes to reduce misses, delays, or inaccuracies throughout the process from diagnosis to documentation.
DxPrime also supports surgical coding and the detection of left-right laterality mismatches. By identifying diagnostic gaps early and automating diagnostic workflows, it helps physicians to focus more on diagnosing and treating patients while significantly reducing administrative burden.
"After participating in the Mayo Clinic Platform_Accelerate program in 2022, we have continued to refine the core model behind DxPrime to enable physicians to make faster, more accurate decisions with fewer distractions," said Jim Long, CEO of AESOP Technology. "In an era of increasingly complex diseases and growing workforce shortages, this mission is more critical than ever. We are proud that DxPrime is now a qualified solution on the Mayo Clinic Platform, ready to support over 52,000 physicians around the world across the Mayo Clinic Care Network in delivering better and safer care."
Driven by AESOP Technology's Clinical Deep Reasoning Network Model, DxPrime customizes its insights based on specialty, gender, and clinical context to ensure diagnostic completeness and precision. It delivers explainable, real-time diagnostic feedback and automatically converts diagnoses into medical codes to reduce misses, delays, or inaccuracies throughout the process from diagnosis to documentation.
DxPrime also supports surgical coding and the detection of left-right laterality mismatches. By identifying diagnostic gaps early and automating diagnostic workflows, it helps physicians to focus more on diagnosing and treating patients while significantly reducing administrative burden.
"After participating in the Mayo Clinic Platform_Accelerate program in 2022, we have continued to refine the core model behind DxPrime to enable physicians to make faster, more accurate decisions with fewer distractions," said Jim Long, CEO of AESOP Technology. "In an era of increasingly complex diseases and growing workforce shortages, this mission is more critical than ever. We are proud that DxPrime is now a qualified solution on the Mayo Clinic Platform, ready to support over 52,000 physicians around the world across the Mayo Clinic Care Network in delivering better and safer care."
| Mayo Clinic Platform_Solutions Studio accelerates the development and deployment of digital health solutions by offering access to global, federated de-identified data and scalable integration into clinical workflows. The program evaluates each solution for intended use, proposed value, and clinical and algorithmic performance providing transparency and credibility and enabling adoption of transformative health technologies. "Working with Mayo Clinic Platform speeds up digital healthcare innovation," said Steve Bethke, Vice President of Solution Developer Market at Mayo Clinic Platform. "It gives digital health companies the tools, data, and capabilities they need to more efficiently and effectively develop and deploy AI and data-centric solutions. When a solution is qualified, providers can trust it has been reviewed for adherence to responsible AI principles, all aimed at supporting care teams and improving patient outcomes." | As an investor, we are thrilled to see AESOP reach this significant milestone. This achievement reinforces our belief in its mission to advance safer and more intelligent healthcare. |
Mayo Clinic does not endorse or warrant the third-party products or services made available through Mayo Clinic Platform, including their functionality, quality, or performance. Mayo Clinic expressly disclaims any express or implied warranties on such third-party products or services, including any implied warranties of merchantability, quality, accuracy, fitness for a particular purpose, or noninfringement. All use of these third-party products or services, including applicable rights or remedies, is governed by separate terms with the applicable third-party developers or providers.
Reference: Yahoo Finance
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