Factors influencing the intention to use the ICD-11 among medical record officers (MROs) and assistant medical record officers (AMROs) in Ministry of Health, Malaysia

Ooi, Erwyn Chin Wei; Isa, Zaleha Md; Manaf, Mohd Rizal Abdul; Fuad, Ahmad Soufi Ahmad; Ahmad, Azman; Mustapa, Mimi Nurakmal; Marzuki, Nuraidah Mohd

doi:10.1038/s41598-024-60439-2

Cited by 2 publications

References 89 publications

(121 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

From data collection to downstream data use: Malaysia’s experience with ICD-11

Ooi,

Md Isa,

Abdul Manaf

et al. 2024

HIM J

View full text Add to dashboard Cite

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.

show abstract

From data collection to downstream data use: Malaysia’s experience with ICD-11

Ooi,

Md Isa,

Abdul Manaf

et al. 2024

HIM J

View full text Add to dashboard Cite

show abstract

Revolutionizing Financial Literacy Through Exploring Finfluencers' Intentions in Chatbot-Driven Financial Information Dissemination

Issac,

Seranmadevi

2024

Advances in Business Information Systems and Analytics

View full text Add to dashboard Cite

Financial literacy, a cornerstone for stability and empowerment in today's economic landscape, is set to be revolutionized. Finfluencers, individuals with significant financial acumen and a robust digital platform presence, are shaping audiences' financial attitudes and behaviors. This study introduces a conceptual framework based on the decomposed theory of planned behavior (DTPB) that holds the potential to transform how we understand and implement financial education. The unique aspect of this framework is its incorporation of Finfluencers as critical influencers in adopting AI chatbots for financial education. For instance, the model can predict the likelihood of a Finfluencer endorsing an AI chatbot for financial education based on their attitudes, subjective norms, and perceived behavioral control. Despite the widespread use of DTPB across various disciplines, a research gap exists in understanding the determinants of intention and behavior concerning adopting AI chatbots for financial education.

show abstract

Factors influencing the intention to use the ICD-11 among medical record officers (MROs) and assistant medical record officers (AMROs) in Ministry of Health, Malaysia

Cited by 2 publications

References 89 publications

From data collection to downstream data use: Malaysia’s experience with ICD-11

From data collection to downstream data use: Malaysia’s experience with ICD-11

Revolutionizing Financial Literacy Through Exploring Finfluencers' Intentions in Chatbot-Driven Financial Information Dissemination

Contact Info

Product

Resources

About