Hospital Authority Remote Data Access
The Self-service Data Platform (the Platform) has been set up by HA Data Collaboration Laboratory (HADCL), with an aim to enable researchers to draft research hypothesis and proposals, and make research study by using the sample data in Statistical Analysis System (SAS) Viya platform.
In response to researchers’ demand for a more convenient access, remote access to the Platform has been established for enhancing the data accessibility. The Chinese University of Hong Kong (CUHK) is authorized to have remote access to the Self-service Data Platform. Located in InnoPort, the remote centre is now officially open to access for CUHK researchers of all disciplines. Users must adhere to the security policy, rules and regulations set out by HADCL and The Office of Research and Knowledge Transfer Services (ORKTS).
Current academic staff & researchers in CUHK who would like to
draft research hypothesis / proposal but do not have experience using HA clinical data
make research study by using the sample data provided*
*Ethics approval will be required for research study and/or publication using the sample data in the Self-service Data Platform.
Types of Data
The sample data is made of structured data from around 200,000 patients randomly selected from the patient populations of 2007 and 2017, stratified by age and gender. They include:
Attendance records to hospitals or clinics
Clinical diagnosis, procedures, medication and laboratory results
Radiology examination results
Remote Access Location at CUHK
3A, InnoPort, Inter-University Hall, CUHK
Monday to Friday (Except Public Holiday), 9:30am - 12:30pm & 2:00pm to 5:00pm
Application and Procedure
Please refer to Application for more details.
Application | Ms Anna Huang | ☏ 3943 5337 ✉ firstname.lastname@example.org
Booking | Mr Banny Wong | ☏ 3943 0475 ✉ email@example.com
On-Site Support | Ms Joan Yu | ☏ 3943 0430 ✉ firstname.lastname@example.org
Data Catalogue & Output Request | HADCL Office | ✉ email@example.com
Find Out More
More details can be found on HADCL website.