Related Experiment Video
Updated: Jun 6, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
From data collection to downstream data use: Malaysia's experience with ICD-11
Erwyn Chin Wei Ooi1,2, Zaleha Md Isa1, Mohd Rizal Abdul Manaf1
1National University of Malaysia, Malaysia.
Background:
The transition of systems to the International Statistical Classification of Diseases 11th Version (ICD-11) allows access to comprehensive data that accurately portray the complexity of morbidity and mortality data in Malaysia.
Objective:
To demonstrate Malaysia's experience in implementing ICD-11, from data collection to downstream data use applications.Method and implementation:We describe improvements to existing data source systems and downstream data applications. For non-HIS and HIS (ICD-10) systems, data were manually entered into the health management information system equipped with ICD-11 or automatically mapped from ICD-10 to ICD-11. Following these system improvements, we collected and reported ICD-11 data from all hospitals nationwide, regardless of the individual systems' status in ICD-11 use.
Discussion:
Lessons learnt related to legacy systems; ICD-11 releases and system updates; mapping; reporting; human resources and related applications.
Conclusion:
With careful planning, standardisation of the collection and use of ICD-11 data can be accomplished with limited resources and in a complex environment with heterogeneous systems.
Implications:
Use of ICD-11 data in downstream data applications improves data quality to answer specific business or research questions.
More Related Videos
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Related Concept Videos
Principles of Disease Surveillance
Data Collection I
Data Collection II
Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
Integrated Healthcare System
Data Collection III
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...