ICT sebagai pemacu bisnes dalam perkhidmatan penjagaan kesihatan yang berkualiti dan bersepadu Untuk menyediakan perkhidmatan ICT yang menyeluruh bagi membolehkan perkhidmatan penjagaan kesihatan yang lebih efisien dan berkesan
Malaysian Health Data Warehouse (MyHDW)
Data and Information Governance Sensitive data is when personally identifiable information is linked to clinical information. Some request specifically refers to data and others refer to information generated from such data, and data that are linked to another set of data to provide more value added information. The establishment of MyHDW provides for such avenue and requires proper governance in place to manage the ownership and accountability and access when such data or information were provided. Data and Information Governance is the exercise of authority and control over the management of data as an asset.
Data and Information Governance National Security Framework in ICT (RAKKSSA) established by Malaysian Administrative Modernisation and Management Planning Unit (MAMPU), and a Security Committee established for the project, provide coherent and comprehensive approach to security management. Key security management includes: System Measures implemented using system to assure security and privacy: 1. the process of de-identification and re-identification of patient s record. 2. separating the access point between normal users and administrators 3. segregating data flow according to the sensitivity of the data 4. two-level factor authentication
Data and Information Governance People 1. Role and responsibility to : run the system maintain Master Data 2. Competency Processes Workflow for the access approval e.g who approves application for user access into the system, who approves access to the data
Terms of Reference 1. Establish Policy and Guideline for: Data Access Management Master Data and Reference Data Use of Data and Information Consent and Data Ownership (PRIS, different organizations e.g. private hospitals etc ) (master, transaction, reference) examples of master data are list of diagnosis, procedures meanwhile examples of reference data are the ICD10 code, SNOMED CT. 2. Establish Policy and Framework for: Data and Information Quality - e.g every time provide data or information to specify the versioning of the standards; at footnote Data and Information Privacy (security is governed by RAKKSSA) 3. Establish Policy on Data and Information Management This includes data retention, data archival, data protection
Committee Members Chair: Deputy Director General of Health (MoH Medical & Technical Support) Members: MoH CIO Director of Planning Telehealth Division (User Access Control Policy, UACP owner) Representative from Registry owners (Patient Registry Information System, PRIS data provider) Representative from Medical Programme (Medical Treatment Information System, SMRP data provider) Representative from Disease Surveillance National Institute of Health (NIH) Malaysia Healthcare Performance Unit (MHPU) Malaysia Administrative Modernisation and Management Planning Unit (MAMPU) Technical Lead for National ICT Security Framework (RAKKSSA) Department of Statistics Malaysia (DOSM) Representative from Finance MoH Legal Advisor Secretariat: Health Informatics Centre
Security Facility code
PRIMARY DATA GPS Point Satellite Imagery Questionnaire Forms SECONDARY DATA MacGDI Medical & Health Directory Malaysian Department of Statistic
CODE ID ADDRESS SERVICE PROVIDER X,Y CORDINATE FACILITIES SERVICES
The information on Healthcare Facilities in GIS application has undergone verification process by several agencies such as State Health Department in annual Healthcare Facility Data Verification Committee Meeting to ensure the data is true and kept updated Other organisations involved in data update includes: Dental Health Division General Control of Private Health Facilities Unit Family Health Development Division
GIS web application is accessible to other division, department or unit whether at states of national level
PHASE 1 PHASE 2 Map layer Geospatial Information Disaster Management Integration of GIS dimension with Data Warehouse Facilities Services Engineering infrastructure Contour Finance Location Human resource Traffic management Data Warehouse