Health Data Collaboration Projects 2023
Overview
Hospital Authority Data Collaboration Lab (HADCL) is inviting enrolment for Online Health Data Exploration Workshop and applications for health big data collaboration projects for 2023.
Online Health Data Exploration Workshop Enrolment (Ended)
Health Data Exploration Workshop will be conducted via Webinar on 9 Nov 2022 (10 am) to introduce services, data and platform of HADCL. Interested researchers may enroll online on or before 31 Oct 2022 at https://www3.ha.org.hk/data/DCL/WorkshopHandson.
Application for Health Data Collaboration Projects 2023 (Deadline: 31 Dec 2022, Sat)
HADCL provides a secured platform which includes over 25 years de-identified health data for researchers to conduct their health data collaboration projects. With support from data domain experts from HA and the market-leading AI and Machine Learning technology, HADCL should be able to support researchers for their interested big data / AI research topics.
To apply for the Data Collaboration Projects, the Principal Investigator (PI) must be from one of the UGC-funded Universities with written support from the associated University and necessary ethics approval for their project proposal. Interested researchers may submit their applications online via https://www3.ha.org.hk/data/DCL/ProjectApplication. Frequently Asked Questions (FAQs) can be found here.
Eligibility
Current academic staff & researchers in CUHK who are interested in access to HADCL for conducting health data collaboration projects
Application (Submission Deadline: 31 Dec 2022, Sat)
| 1 | Submit online application form with project details* to HADCL office |
| 2 | Assess applications by HADCL steering group |
| 3 | Sign collaboration agreement by the organisation & undertaking forms by researchers |
| 4 | Prepare the required data and tools for the selected project by HADCL office |
| 5 | Access HADCL to start the research study by the authorised researchers |
*Remarks:
1. The HA collaborators should be HA staff who support/participate in the proposed project. It is desirable to engage them during application submission. If you do not approach the HA Collaborator for the proposed project, you may fill “N/A” in those related fields during the application submission. We will review the proposal and propose a suitable HA Collaborator afterwards.
2. Support from Organization should be issued by CUHK to prove the support on the related project. Relevant funding approval issued by CUHK can be a proof. Or a supporting letter should be issued by the supervisor of Principal Investigator who is the chairperson of department or above from the university.
Assessment Criteria
1. For public good
2. Readiness of requested data and tools
Useful Information
1. Technical and Platform Information
2. Data Catalogue
Differences between Data Collaboration Project and Self-service Data Platform
| Self-service Data Platform | Health Data Collaboration Project | |
| Objectives |
for researchers to draft research hypotheses or proposals |
for researchers to conduct health data collaborative research with HA |
| Data Type |
specific sample data |
customised data |
| Support from HADCL |
|
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Projects List from CUHK (2019-20)
| Project | Principal Investigator | Faculty/Department |
| Disease Burden of Chronic Viral Hepatitis in Hong Kong – Prediction Models Based on Clinical, Laboratory and Radiological Parameters | Prof Grace Wong | Department of Medicine & Therapeutics, Faculty of Medicine |
| The Development of Data-driven Algorithms for Optimising Resource Allocation across Ensembles of Primary, Acute and Subacute Care along the Patient Journey | Prof Eman Leung | JC School of Public Health and Primary Care, Faculty of Medicine |
| Deep Learning in the Assessment of Non-contrast CT Brain Scans for Intracranial Haemorrhage | Dr Jill Abrigo | Department of Imaging and Interventional Radiology, Faculty of Medicine |
Enquiry
HADCL Office | ✉ hadcl@ha.org.hk