Imagination will often carry us to worlds that never were. But without it we go nowhere.

MyHDW unifies and pseudonymises health data and statistics from government hospitals and clinics, university hospitals, military hospitals, private hospitals and clinics, as well as other health-related agencies in Malaysia

MyHDW offers actionable insights from Big Data Analytics, with patents filed by MIMOS alongside MoH as co-inventor. The usage of MIMOS technology amounts to a positive cost-benefit ratio; and reflects sustainability principles of balancing health, economic and homegrown capabilities that results in less reliance on foreign technology.

MyHDW is designed to provide holistic health information for policy making and formulation of government strategies and action plans. In addition, it can also help in monitoring as well as measuring performance and outcomes of a policy implementation.

The system also provides rich resources for statisticians, researchers and data scientists to conduct clinical or population research that can benefit the Malaysian healthcare sector.

Ultimately, MyHDW serves as an intelligent vehicle for data linkage and integration that offers broader benefits for community pertaining to health information and related contexts.

Features

  • Ad-hoc query
  • Dashboard management
  • Instant information and customised report
  • Statistical analysis Ability to conduct quantitati
  • Geographical Information System
  • MyHarmony

Technology Benefits

  • Security
  • Privacy and Confidentiality
  • High Quality Validated Data
  • Sustainable, accredited and patented local technology

Future Plan

  • MyHDW primarily focuses on establishing the fundamental underpinnings for a national health analytic system, both technically and in terms of supporting program services.
  • Data architecture of the current phase focuses on an implementation of a traditional structured data warehouse, including semi or unstructured data that stored in RDBMS and Hadoop/HDFS data management system.

Publication

1

SNOMED CT EXPO 2019, Kuala Lumpur, Malaysia

Md. Khadzir Sheikh Ahmad, ‘Ismat Mohd Sulaiman, Mohd Syazrin Mohd Sakri, Omar Ismail, Muhammad AimanMazlan, Abdul Aziz Latip. (2019) “Integrating MyHarmony (Harmonization & Codification of Unstructured Datausing SNOMED CT) with Malaysian Health Data Warehouse”,
2

3rd International Saudi Health Informatics Conference (ISHIC 2018), Riyadh, Saudi Arabia.

Abdul Aziz Latip, Sharipah Setapa, ‘Ismat Mohd Sulaiman, Muhammad Aiman Mazlan, Mohd Syazrin Mohd Sakri,
Duc Nghia Pham, Ong Hong Hoe, Wan Zawawi Md Zin and Md. Khadzir Sheikh Ahmad. (2018) “Data Acquisition
Challenges in Health Industries for Big Data Analytics”,
3

3rd International Saudi Health Informatics Conference (ISHIC 2018), Riyadh, Saudi Arabia.

Farouq Hatem Hamad, Norlisa Ahmad Termizi, Muhammad Aiman Mazlan. (2018) “Implementation of GIS Access
Control for Feature Services”,
4

SNOMED CT EXPO 2018, Vancouver, Canada.

Md. Khadzir Sheikh Ahmad, ‘Ismat Mohd Sulaiman, Mohd Syazrin Mohd Sakri, Mohd Firdaus Mohamed Khairi, Muhammad Aiman Mazlan, Abdul Aziz Latip. (2018) “SNOMED CT Generating Cardiology Key Performance
Indicators (KPIs)”,