더 나은 의사결정: 데이터와 AI를 활용한 실질적 성과 창출

  • 디지털 전환과 AI
  • 🎧

일시:

Tuesday 20 October

11:00–12:00

장소:

402호, 4층

의료기관이 빅데이터, 고급 분석, 인공지능을 활용해 임상 의사결정, 환자 안전, 운영 성과를 어떻게 개선하고 있는지 살펴봅니다. 본 세션에서는 AI 모델 개발, 예측 모니터링, 워크플로 최적화, 데이터 기반 질 향상에 대한 실질적 사례를 소개하며, 고품질 데이터와 지능형 분석이 더 이른 개입을 지원하고 진료 제공을 간소화하며 환자 결과를 향상시키는 방법을 보여줍니다. 또한 이러한 발표들은 데이터를 실행 가능한 인사이트로 전환하는 일이 병상 현장과 시스템 수준 모두에서 의료를 어떻게 변화시키고 있는지 제시합니다.

발표 제목:

  • 임상 AI 모델 개발을 위한 급성 관상동맥 증후군 ICD 코드의 타당성 검증
  • 응급실(ED) 데이터와 환자 피드백을 더 빠르고 명확한 응급진료로 전환: NPS 개선을 지속한 표준화 모델
  • AI 기반 환자 악화 예측: 환자 결과 향상을 위한 임상 모니터링 혁신
  • 이식형 의료기기의 MRI 전 안전 스크리닝: 워크플로 효율성 향상을 위한 데이터 분석 대시보드 구현
  • 보이지 않는 인터페이스: AI 기반 자연어 내비게이션으로 병원 소프트웨어 교육 부담 제거
  • CHESS-골다공증: 흉부 X-선 데이터를 활용한 기회적 골다공증 선별을 위한 딥러닝 인공지능 시스템의 다기관 검증 임상시험
  • 디지털 전환과 AI
  • 🎧

일시:

Tuesday 20 October

11:00–12:00

장소:

402호, 4층

발표자

Dr Gabrielle Bunney

Assistant Professor, Stanford University, USA

Gabrielle Bunney, MD, MBA, MS is an Assistant Professor in the department of Emergency Medicine at Stanford University. She has worked on projects spanning the whole life cycle in AI for clinical use, from model design and building, to model optimization, and finally the technical and clinical translation of AI for use in patient care. She received her Master’s degree from Stanford University’s Department of Biomedical Data Science, where she gained data science the technical experience to apply to her clinical knowledge. Additionally, she holds an MBA from the Kellogg School of Management with a focus in finance and is working with groups at Stanford that are bridging the gap between academic medicine and industry. She is a part of the Stanford Emergency Medicine Partnership Program (STEPP) aimed at building collaborations between the emergency department and companies focused on patient care solutions. The combination of a business background and research skills allow her to focus on the implementation of AI technologies into practice. She is continuing working on AI in healthcare with the philosophy that at the heart of innovation there must be a confluence of the strategic vision of the healthcare organization, economic viability, and practical operationalization.

세션

더 나은 의사결정: 데이터와 AI를 활용한 실질적 성과 창출

  • 디지털 전환과 AI
  • 🎧

일시: Tuesday 20 October | 11:00–12:00

장소: 402호, 4층

자세히 알아보기

Prof. Oxana Munteanu

Medical Director, Medpark International Hospital, Moldova

2023 – Present
Medical Director, Medpark International Hospital, Chișinău, Republic of Moldova
As Medical Director of Moldova’s only JCI-accredited hospital, I oversee clinical governance, quality and patient safety programmes, professional development initiatives, and multidisciplinary collaboration. My work focuses on implementing evidence-based practices, improving clinical outcomes, strengthening organizational performance, and fostering a culture of excellence.

2020 – Present
Consultant Pulmonologist, Medpark International Hospital
I provide specialized care for patients with complex respiratory diseases, including bronchiectasis, interstitial lung diseases, pulmonary vascular disorders, chronic pulmonary aspergillosis, and respiratory infections, working within multidisciplinary teams.

2016 – Present
Associate Professor, Division of Pulmonology and Allergology, Nicolae Testemițanu State University of Medicine and Pharmacy
Alongside my leadership responsibilities, I remain actively engaged in clinical practice, medical education, and research. Since 2008, I have been involved in undergraduate, postgraduate, and continuing medical education, mentoring students, residents, and physicians. I contribute to curriculum development and professional training programmes.
My research focuses on bronchiectasis, interstitial lung diseases, chronic pulmonary aspergillosis, pulmonary vascular diseases, and respiratory infections. I have authored more than 150 scientific publications, delivered over 100 presentations at national and international conferences, and serve as National Delegate of the European Respiratory Society for the Republic of Moldova.

세션

더 나은 의사결정: 데이터와 AI를 활용한 실질적 성과 창출

  • 디지털 전환과 AI
  • 🎧

일시: Tuesday 20 October | 11:00–12:00

장소: 402호, 4층

자세히 알아보기

Mr Owen Wai Lok Ng

Health Informatics Analyst, The Hospital Authority (HA), Hong Kong

Owen Ng is a dual-background healthcare professional with Emergency Nursing experience and Health Informatics, currently serving as a Health Informatics Analyst at the Head Office of Hong Kong’s Hospital Authority (HA), managing Smart Hospital Clinical AI project development and implementation.

His major portfolio includes AI Patient Deterioration Prediction (improving clinical monitoring and patient outcomes with reduced mortality and length of stay), AI Imaging Detection (reducing missed diagnoses such as CXR lung mass, hip fracture, and CT brain intracranial haemorrhage), and AI Medical Report and Patient Summary tools (streamlining clinical documentation and operational efficiency).

Owen is committed to advancing patient safety and quality improvement, advocating evidence-based clinical AI as an enabler for better patient outcomes.

세션

더 나은 의사결정: 데이터와 AI를 활용한 실질적 성과 창출

  • 디지털 전환과 AI
  • 🎧

일시: Tuesday 20 October | 11:00–12:00

장소: 402호, 4층

자세히 알아보기

Mr Pratyush Srivastava

Group Head - Business Transformation, Narayana Health, India

Pratyush Srivastava is Vice President and Group Head – Business Transformation at Narayana Health, one of India’s largest hospital networks, based in Bengaluru. Since 2022, he has led strategic business transformation initiatives, driving digital innovation, process optimization, operational excellence, and enhanced patient experience across the group’s hospitals.

He holds an MBA in Operations from the Indian School of Business and a degree from the National Institute of Technology Calicut. Pratyush is known for championing customer-centric digital solutions, such as WhatsApp-enabled admissions and streamlined outpatient services. He contributes to industry discussions on AI in healthcare and regularly shares insights on healthcare transformation.A results-driven executive, he combines deep operational expertise with strategic vision to improve efficiency, quality, and outcomes in India’s evolving healthcare landscape.

세션

더 나은 의사결정: 데이터와 AI를 활용한 실질적 성과 창출

  • 디지털 전환과 AI
  • 🎧

일시: Tuesday 20 October | 11:00–12:00

장소: 402호, 4층

자세히 알아보기

Ms Regine Ee Chin Teo

Senior Radiographer, National University Hospital, Singapore

Ms Regine Teo is an MRI radiographer at National University Hospital, Singapore, and holds a Master of Magnetic Resonance Technology from the University of Queensland. Her experience includes developing MRI on-the-job training programmes, training guidelines, scanning protocols, and MRI safety manuals. She has played a key role in training and in establishing specialised MRI services, including myocardial perfusion imaging, functional MRI, and MR spectroscopy.

In her current role, she bridges clinical practice and research, combining human expertise with emerging technologies to solve systemic challenges. She has led departmental initiatives that harness data analytics to enhance safety, reduce redundancies, and improve operational efficiency. These efforts were recognised with the National Healthcare Innovation and Productivity (NHIP) Medal 2024 for Best Practice Medal (Automation, IT & Robotics Innovation), and the Chief Executive Commendation Award 2025.

At this year’s WHC, Regine presents her work on implementing data analytics for pre-MRI safety screening of patients with implantable medical devices — a human-in-the-loop solution that significantly reduced screening workload and serves as the first line of defence in a multi-layered MRI safety workflow.

세션

더 나은 의사결정: 데이터와 AI를 활용한 실질적 성과 창출

  • 디지털 전환과 AI
  • 🎧

일시: Tuesday 20 October | 11:00–12:00

장소: 402호, 4층

자세히 알아보기

Prof. Ravi Trehan

Dean of Research, Sheikh Shakhbout Medical City, UAE

Dr Ravi Trehan is Dean of Research and Consultant Orthopaedic Surgeon at Sheikh Shakhbout Medical City, Abu Dhabi, where he provides strategic leadership in clinical research, innovation, and academic excellence. With over 30 years of experience in trauma and orthopaedic surgery across the United Kingdom and the United Arab Emirates, he is recognised for his expertise in upper limb, shoulder and knee reconstruction, complex trauma, and joint preservation surgery.

In addition to his clinical practice, Dr Trehan has held senior leadership positions that have advanced healthcare quality, patient safety, and operational excellence. As former Medical Director of SSMC’s Admission and Transfer Center, he led initiatives that optimised patient flow and strengthened multidisciplinary care across one of the region’s largest tertiary hospitals.
As Dean of Research, he oversees research governance, clinical trials, and innovation programs that promote evidence-based healthcare and translate scientific discovery into improved patient outcomes. His work has been published in leading international journals, and he is a Guinness World Record holder for collaborative medical authorship.

Beyond his clinical and research leadership, Dr Trehan is an Adjunct Clinical Professor of Orthopaedics at Khalifa University and Gulf Medical University, where he mentors future clinicians and advances medical education.

세션

더 나은 의사결정: 데이터와 AI를 활용한 실질적 성과 창출

  • 디지털 전환과 AI
  • 🎧

일시: Tuesday 20 October | 11:00–12:00

장소: 402호, 4층

자세히 알아보기