Business Challenges

In the healthcare industry, making accurate clinical decisions is crucial for patient care and outcomes. Clinical Decision Support Systems (CDSS) utilize evidence-based knowledge and patient data to offer real-time recommendations, aiding healthcare professionals in their decision-making processes. The healthcare industry plays a pivotal role in society, impacting the well-being of individuals and communities. With the increasing complexity of medical data and diagnoses, the need for effective clinical decision support is more significant than ever. Efficient decision-making can lead to improved patient outcomes, reduced healthcare costs, and enhanced overall efficiency in healthcare delivery. Healthcare professionals often face challenges in interpreting complex medical data and making accurate diagnoses in a timely manner. These challenges can hinder the efficiency of healthcare delivery, leading to delayed diagnoses, ineffective treatments, and increased costs.

AI Solution

Large Language Models (LLMs) have emerged as a promising tool in clinical decision support, capable of generating plain-text explanations for medical decisions. The AI solution utilizes patient complaint data and corresponding diagnosis codes from the RuMedBench dataset. The data is cleaned and prepared to ensure its accuracy and relevance to the clinical context, then transformed into a format suitable for analysis by the LLM. LLMs leverage advanced natural language processing techniques to understand and generate human-like explanations. They analyze patient complaints and corresponding diagnoses to provide clear and interpretable explanations for clinical decisions. By addressing the challenges in clinical decision-making, LLMs provide real-time, evidence-based explanations for diagnoses, aiding healthcare professionals in making informed decisions.

Expected Outcome

AI-driven clinical decision support can streamline the diagnostic process, reducing the time required for accurate diagnoses and improving efficiency. Moreover, by improving diagnostic accuracy and treatment efficacy, AI can help reduce unnecessary healthcare expenditures. AI-powered explanations can enhance the decision-making process for healthcare professionals, leading to improved patient outcomes. Key performance indicators such as diagnostic accuracy, treatment efficacy, and patient satisfaction will be used to measure the success of the AI implementation. The AI solution is expected to improve diagnostic accuracy, reduce diagnostic errors, and enhance overall healthcare efficiency. AI complements the expertise of healthcare professionals by providing real-time, evidence-based support in clinical decision-making. By automating routine tasks and providing timely insights, AI enhances the capabilities of healthcare professionals, allowing them to focus on more complex patient care tasks. The adoption of AI-driven clinical decision support systems has the potential to revolutionize healthcare delivery, leading to improved patient outcomes and increased efficiency. Organizations that embrace AI technology can gain a competitive edge through innovation in healthcare delivery and improved patient care.

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    Our Team Members

    AI TRANSFORMATION LEAD

    Dr. Mikhail Krasnov

    Based in Switzerland, Mikhail is an esteemed leader with a Ph.D. in Economics and recognized as a Certified Director by the London Institute of Directors. With a 30-year tenure in the IT sector, he co-founded Verysell Group in 1990 and now drives strategy and innovation across the entire organization. He staunchly believes that AI should be a catalyst for all businesses, not a threat, enhancing and transforming companies. To him, AI is a powerful tool for businesses to harness for their advantage.

    Head of Applied AI Lab​

    Yurii Lozinskyi

    Based in England, Yurii is the driving force behind Verysell Applied AI Lab. With 25 years of experience in Healthcare, Insurance, and Finance, he specializes in Business Process & Digital Transformation. Yurii excels in creating neural networks for diverse business automation, from medical diagnostics to machinery anomaly detection. Beyond tech, he’s a proficient software delivery manager and project leader. His leadership has fueled remarkable growth, achieving up to 60% CAGR by guiding 20+ Agile Teams globally.

    Chief AI Scientist

    Dr. Hung Dao

    Based in Vietnam, Dr. Hung leads a dynamic Consulting Team, driving AI innovation across diverse sectors, from industrial visual inspection to medical image segmentation at our AAI Lab. With a PhD in Engineering from Keio University (2014), his expertise extends to groundbreaking research published in renowned conferences such as FG, BMVC, ICASSP, and ACCV, alongside multiple granted patents. With a distinguished track record at FPT, VinBrain & Nautilus AI, he’s a prominent figure in the AI landscape.

    STRATEGIC ADVISOR ON AI

    Dr. Alexey Minin

    Prof. Dr. Alexey Minin, an esteemed expert in the digital economy and artificial intelligence implementation, boasts over 19 years in high-tech. Rising from Siemens engineer to associated partner at MHP – A Porsche Company, Germany, Alexey excels in management consulting, exponential technologies, and creating businesses based on modern tech. A Doctor of Science in AI, Honored Professor, and consultant for several boards of directors, Alexey specializes in digital transformation, AI application, and startup guidance. He co-founded startups, lectures globally, and is a sought-after speaker in digital conferences.

    Business Development Manager

    Muin Pirzada

    Muin brings to the table an extensive background of over 13 years in the fields of Robotic Process Automation (RPA), Test Automation, and Artificial Intelligence (AI). This vast experience has not only equipped him with a profound knowledge of these cutting-edge technologies and deep passion for business growth and operational efficiency, but also with an acute understanding of their capability to revolutionize industries and streamline operations.

    Marketing Manager

    Ha Nguyen

    Based in Hanoi, Ha spearheads marketing endeavors, leveraging over a decade of prowess in the global technology arena. She currently serves as AAI Lab’s Marketing Manager, leveraging her expertise in B2B marketing, branding, content strategies, and Agile methodologies to propel the company’s growth. Her practical know-how equips her to craft and execute effective marketing strategies for AAI Lab and other entities within the Verysell Group.

     

    Software Development Automation Lead

    Hieu Tran

    Hieu, from Danang, Vietnam, heads the automation team at SmartDev. With a decade of experience in software development, he’s skilled in tech strategy and research. Known for boosting daily operations, Hieu shines in project coordination and customer happiness. Currently, he’s the top engineer at SmartDev and also leads the AAI Lab Software Development Automation.

    Head of Project Management

    Richard Sharp

    Richard, based in Danang Vietnam, has over 40 years of IT experience. He has had many roles including Client Manager, Supplier Manager, and Service Management Program Manager. He has designed, developed and implemented advanced service management solutions for leading organizations across the technology, government, health, telecoms, oil & gas and financial services sectors.

    HEAD OF AI EDUCATION

    Soan Duong

    Dr. Soan is a lecturer at the Computer Science Department within Le Quy Don Technical University. She is also a senior research scientist with keen interest in computer vision and medical imaging. Her research work has been published at prestigious venues, including ISBI, ICIP, ICASSP, BMVC, and CVPR. Soan plays an active role in the academic community by serving as a dedicated reviewer for esteemed publications such as: IEEE Access and NMR in Biomedicine.