This course aims to equip professionals in the financial and insurance sectors with a foundational understanding of health big data, its analytical techniques, and practical applications. Participants will learn how health data plays a pivotal role in the transformation of the insurance industry, enhancing their capabilities in data-driven decision-making, risk management, and product innovation.
Understand the definition and sources of health big data
- Including personal samples, clinical records, and electronic health records.
Grasp the three strategic directions of insurance industry transformation
- Shifting from claims-based models to preventive health management.
Recognize the four types of healthcare data analytics
- Descriptive, Diagnostic, Predictive, and Prescriptive analytics.
Apply machine learning to health risk prediction
- For example, using XGBoost models to forecast complications in diabetic patients.
Analyze real-world case studies and assess their impact on the insurance sector
- Including mental health surveys, AI-driven pharmaceutical innovation, and the eHealth platform.
Understand data security and policy frameworks
- Covering data sharing, privacy protection, and government initiatives.
Promote healthy lifestyle practices as part of insurance productdesign and client education
- Emphasizing exercise, nutrition, and mental well-being.
Enrollment
- Enrollment of virtual CPD programmes can only be made through VTC’s Continuing & Professional Education website (https://cpe.vtc.edu.hk/en). The programme fees must be paid online by Credit Card (Visa / Master). Only enrollment with completed information and payment will be processed.
- Applicants should upload* a copy of your Hong Kong Identity (HKID) Card / Passport / Travel Document, or valid visa / entry permit for study issued by the Immigration Department of the Hong Kong Special Administrative Region (HKSAR) during the enrollment process for identity verification purpose. The uploaded image should only show your full name in both English and Chinese with your photo. Other personal information must be covered.
* File size shall be less than 4 MB. File format shall be in jpg, jpeg, pdf or png.
- All places are allocated on a first-come-first-served basis. Incomplete forms and forms received without payment will not be processed.
Notification of Class Commencement
Successful applicants will be notified of the class confirmation and relevant information by email at least 7 working days## before class commencement. Login information including Meeting ID and Passcode, and Student Login ID will be sent to students by email 3 working days## before class commencement. Please contact us at 2836 1906 if you do not receive the notification and/or login information 3 working days## before the class commencement.
## Working days (exclusive of Saturdays, Sundays and Public Holidays)
Applicants should ensure their digital devices be equipped with a video camera and connected to a stable network before enrolling the virtual CPD Programme.
Students are required to show themselves in front of the camera throughout the lesson, otherwise the CPD / CPT hours will be deducted.
Certificate
Students who have participated in PEAK’s CPD short courses via virtual classrooms and achieved an attendance rate of 80% or higher may download their certificates from PEAK’s website (www.peak.edu.hk) starting from the 6th working day upon completion of the respective courses. The certificates shall be downloaded within three months from the date of course completion.
Please note that students should choose to download their certificates from our website or have their certificates sent by ordinary post during the online application process. Once studentshave chosen the mail delivery option, they will not be able to download their certificates via online means. The certificates will be sent to their registered local correspondence address within 14 working days from the date of course completion. PEAK will not be responsible for any loss in mailing.
