Miraico, the ICD-10 AI coding assistant, uses advanced natural language understanding technology to analyze clinical terminology in medical records and automatically recommends the most relevant and accurate ICD-10 codes.
Lumos uses AI to generate structured information and provide a simple and intuitive search interface based on real-world medical data and integrating heterogeneous data scattered everywhere. It also helps hospitals to monitor and optimize medical quality indicators, assisting doctors to locate proper cohorts to generate real-world evidence (RWE) from data.
➡ Simple search engine interface with data results showcased in insightful visualization for easy reading
➡ Utilize big data analysis to verify research hypothesis easily, and to help hospital admins evaluate operational indicators
➡ Recruit patients quickly based on clinical criteria to improve medical care and reduce adverse drug reaction
With Artificial Intelligence (AI) functions, the platform supports users to make data-driven medical decisions and decrease the risk in medical processes. The AICS model agent is flexible, comprehensive, and able to integrate with various (HIS) hospital information systems, supporting hospitals to better deploy AI in their practices.
➡ AI provides predictions for high-risk events in various dimensions such as readmission, sepsis, and intubation… etc
➡ Proprietary patient representation technology and advanced AI model with state-of-the-art performance
AICS drug safety service uses advanced machine learning algorithms, including natural language understanding, to prevent medication related errors.
By acquiring physician prescribing patterns from millions of medical records, our software can recommend drugs that are appropriate for the patient’s current condition, and identify those that are in conflict. Since the software is continually learning and evolving with clinical practice, the quality and accuracy is maintained over time, avoiding alert fatigue that often plagues traditional rule-based systems.
➡ AI-assisted drug search and recommendation to improve prescription ordering efficiency and patient safety
➡ Validates compliance with insurance reimbursement requirements to reduce operating losses
➡ Remind physicians of drug indications and typical diagnostic codes when prescribed drug does not match patient profile to prevent prescribing inappropriate medication
➡ Automatically calculate drug dosage based on the patient’s biochemistry results, helping physicians to prescribe appropriate dosage for each patient
ICD-10 Coding assistant combine heterogenous information hidden in EHR, and provide user-friendly features such as
coding recommendation and spell check for physicians, nurses, coders, to improve quality of EHR and coding.
Our unified medical data platform connects disparate data sources with high efficiency and automation. It detects and removes personally identifiable information for AI models. The data pipeline connects to AI models with automated feedback loop that keeps AI performing with high accuracy and quality over time.
EMR Search connects and integrates hospital’s electronic medical record files, allowing users to easily fetch all kinds of medical data. Through simple and intuitive search methods, users can find patients easily and generate insights.
EMR Search uses ElasticSearch distributed search engine, which has high scalability, availability, and strong data processing performance, EMR Search aims to analyze medical data accurately in real time.
The AICS CDSS platform includes both BI and AI functions. BI helps users to understand the situation and reason, while AI provides the probability of risk in various dimensions such as readmission, sepsis and intubation… etc.
The platform supports users to make data-driven medical decision and decrease the risk in medical processes. The AICS model agent is flexible, comprehensive, and able to integrate with various (HIS) hospital information systems, supporting hospitals to better deploy AI in their practices.
AICS Drug Safety Service enhances user productivity and improves patient safety. Natural language understanding and deep learning are applied to millions of physician orders to learn prescribing patterns. Not only does it recommends drugs pertaining to patient indication and diagnosis, but also flags medications that are in conflict.
Our drug data solution supports users in making informed medication decisions. Potentially inappropriate medications are identified by examining patient drug use and ADR records, the results are presented in a clean and comprehensive view.
” The ICD Coding Assistant is a perfect tool to educate young physicians, by suggesting the correct code and acting as a reference, it helps to enhance both quality and quantity of the medical data collected, making the medical record more complete. Furthermore, even senior physicians can benefit greatly from the service.”
Dr. Ching-Feng Cheng
Taipei Tzu Chi Hospital
Medical AI-based cloud services developed by ASUS Intelligent Cloud Services Center (AICS) - the AI software division of ASUS - have successfully obtained the ISO 27001:2013 certification for information security management. Additionally, the division has passed the Health Insurance Portability and Accountability Act (HIPAA) compliance assessment .