解決問題和決策的數據分析 – 智能醫院的基礎 Certificate in Data Analysis for Problem Solving and Decision Making – The Foundation for a Smart Hospital

The Workshop Provides:

1. A full license of the latest version of renowned statistical analysis software, SigmaXL
2. Guidebook to use SigmaXL
3. The “How to” Videos
4. Data files and useful templates
5. 14 case examples in various hospital specialties

Who Should Attend

Clinical professionals, physicians, nurses, allied health professionals, Quality & Safety and other supporting professionals

Pre-requisites

There is no specific knowledge requirement, but participant will be benefited if they know simple statistics

Recognition

A certificate will be awarded upon completion of a self-selected data analysis project using the SigmaXL software

Fee

HK$3,980/participant

10% off – payment 4-week in advance

15% off – 3  persons or above from the same organization

Language

Cantonese with English terminologies (with presentation slides in English)

Mode of Learning

Classroom lectures, discussions, group exercises, Case Studies

The Aim

• The main challenge for Hong Kong’s healthcare system is the rising demand chronic staff shortages due to an ageing population, and a growing waiting list for healthcare.
• The objectives of the healthcare service are to maintain a skilled and competent workforce, enhance service capacity, improve the accessibility of medical services, and enhance service quality and patient safety.
• The aim of this course is to contribute to the achievement of these goals.

Objectives

• To build a critical mass of clinical professionals and managers by sharing and transferring knowledge on better use of data to improve the quality of care continuously.
• Equip with analytical skills and sophisticated statistical software, facilitate hospital executives to make better decisions.
• Effective use of data lays the foundation for a smart hospital.

Contents

1. 1. Introduction to the Workshop
   2. Science for Hospital Operations
   3. Theory of Variations
   4. Law of Variability Buffering
   5. Little’s Law
   6. Theory of Constraints
   7. Cause and Effect Analysis
   8. Preparing Data for Analysis
   9. Fundamental Statistics for Data Analysis
   10. SigmaXL – An Indispensable tool
   11. How to Make Data Meaningful?
   12. Why Analyst and Decision Makers Need to Work Together?
   13. Exercise – Putting New Knowledge into Practice
   14. Use of Control charts in Hospitals
   15. Making Information Digestible
   16. Enhance Your Data to Aid Rapid Decision Making
   17. Improving Patient Flow Across Whole Systems
   18. Applying the Principles of Flow and Learning from the Data
   19. A Simple Method to Predict and Manage ALOS
   20. Improve Patient Flow by Computer Simulation
   21. Steps Towards a Smart Hospital – Some Initial Thoughts
   22. Case Examples
       • The Run Chart Case Study – Laparoscopic Cholecystectomy
       • SPC Case Study: Monitoring Blood Pressure
       • SPC Case Study: Monitoring Blood Pressure
       • Control Chart Case Study – TATs for Blood Cell Counts
       • C Chart Case Study – Medication Errors
       • U Chart Case Study – Medical Errors
       • Data Analysis for Unmet Demand – Breast Clinic
       • Reduce Variations  – Chemotherapy Service
       • Match Demand and Capacity for Beds
       • Improve Flow in Day Care Unit
       • Improving Flow Across Whole Systems
       • Use Kanban for Patient Flow Management
       • Decreasing Anesthesia Narcotics Discrepancies
       • Reduce Variation to Improve Throughput – A MRI Case