SNQ Quality Mark

SNQ is built on evidence-based standards, setting trusted quality and safety benchmarks for healthcare, biomedical, health, and animal care services and products.

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  • +886 2 2655 7888
  • snq@snq.com.tw

About the National Quality Mark

  • Vision & Mission
  • Review Committee
  • Certification Schedule

Certification Methods

  • Medical Service
  • Biomedical Product
  • Health Product
  • Animal Care & Products

SNQ Certified

  • Certified Services & Products
  • Certified Organizations
  • Quality Award Winners

International Certification

  • ICHOM PROMs
  • NSF Certification

Quality Focus

  • Apply for Certification →
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SNQ Quality Mark
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Target Population

  • CSMUH clinical staff & researchers

  • CSMU faculty, students & admin

  • Joint research partners

 


Description

The Health Data Science Center (HDSC) demonstrates exceptional strength in research capacity, talent, equipment, scholarly output, and future development. The Center brings together a professional team with extensive academic backgrounds and practical experience. Led by Vice President Dr. Pen-Hua Su, Director Dr. Jing-Yang Huang, Research Fellow Dr. Xiu-Ying Wang, and a team of statistical analysts, our members possess strong academic credentials and diverse expertise in fields such as health data analytics, biostatistics, epidemiology, and machine learning. This ensures the Center's excellence in research and analytical capabilities within the field of data science. Over the past few years, the Center has published numerous high-impact papers in prominent domestic and international journals and has frequently presented findings at international academic conferences. Our research is not only recognized within academia but also delivers a positive impact on clinical practice.

 


Key Highlights

  • Provide comprehensive one-stop statistical consulting and analysis services, spanning from study design to publication.

  • Integrates world-class medical research data platforms, including TriNetX and GBD.

  • Establish statistical service subsidies to significantly lower the entry barrier for clinical research.

Service Data

  • Research Consultations: 873 cases completed.

  • TriNetX Analysis Support: 408 cases.

  • Training & Workshops: 31 sessions with over 1,000 cumulative attendees.


Featured Outcomes

  • Medical Publications: 325 articles published with our support.

  • High-Impact Publications (IF > 4): 104 articles.

  • Growth Momentum: 157.5% increase in 5-year standardized publication output.


Safety Outcomes

  • ISO 27001 Certified for Information Security Management.

  • Dual-Layer Statistical Quality Control (QC) and Cross-Verification.

  • Comprehensive Data De-identification to Safeguard Privacy.


Satisfaction

  • High Satisfaction: Achieved an average consultation rating of 4.5/5.0.

  • Financial Support: NT$600,000 in subsidies to alleviate research burdens.

  • Clinical Excellence: Integrated services highly acclaimed by clinicians across departments.


International Achievements

  • Facilitated the publication of 25 top-tier papers (IF ≥ 10).

  • Engaged in TriNetX global medical data sharing and collaborative research.

  • Integrated with international large-scale databases (e.g., GBD) for advanced analytics.


Benefits and Impacts

  • Policy Impact: Provided evidence-based data to assist Taichung City Health Bureau in formulating lung cancer screening subsidy policies.

  • Academic Growth: Achieved a 20.9% CAGR in hospital-wide SCI publications.

  • Operational Excellence: Streamlined research cycles and reduced costs through automated analytics and specialized division of labor.

  1. Home
  2. SNQ Certified
  3. Certified Services & Products
  4. Hospital
Healthcare Administration

Health Data Analytics Support Platform

The Health Data Science Center excels in research. Led by Dr. Su, Dr. Huang, and Dr. Wang, our expert team drives top-tier biostatistics, epidemiology, and machine learning analytics.
Organization
Chung Shan Medical University Hospital
Specialties/Units
Center for Health Data Science
Certification Year
2025
Health Data Analytics Support Platform
Health Data Analytics Support Platform
Health Data Analytics Support Platform
Health Data Analytics Support Platform

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Chung Shan Medical University Hospital

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