Health Data & Informatics

Online Information Session for HADCL Self-service users

Enrolment Deadline
2021-07-31

30 Jun 2021

12:00 AM-11:59 PM
Venue
Online
Course Code

DCLW21

Fee

Free of charge

Description

Self-service Data Platform is launched to provide high-quality sample data and advanced statistical analytic platform for researchers to draft hypothesis and proposals for health big data research. The sample data of Self-service Data Platform 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. The sample data contains patients’ demographic characteristics, attendance records to hospitals or clinics, clinical diagnosis, procedures, medication and laboratory results and radiology examination results. Researchers can make use of the Statistical Analysis System (SAS) in HADCL to draw inspiration for health big data research from the sample data by themselves.

Selected applicants of Self-service Data Platform are recommended to watch the online self-learning videos as an orientation to HA clinical data, healthcare system and process.

Further information about Self-service Data Platform can be found at:

Target Audience

Applicants of HADCL Self-service Data Platform

Prerequisite

Applicants for accessing Self-service Data Platform should be / have
•currently an academic researcher / academic staff from one of the UGC-funded universities,
•University degree,
•knowledge about SAS tools and programming skills, and
•basic understanding of HA clinical systems and data

Level

Foundation

Format

Online self-learning videos

Medium of Instruction

English

Online Information Session for HADCL Self-service users

Designed and delivered by experienced practitioners of Health Informatics and IT from HA, the online information session contains a series of self-learning videos which aim to provide participants with a walkthrough of the HA clinical data available in HADCL, the background knowledge about the healthcare system and process that create and utilize these data. Upon completion of the online information session, participants will have basic understanding of HA clinical systems and data.