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Data quality is a primary barrier to using electronic medical records (EMR) data for clinical and research purposes. Although EMR has been in use for a long time in LMICs, its data has been seldomly used. This study aimed to assess the completeness of demographic and clinical data in a tertiary hospital in Rwanda. We conducted a cross-sectional study and assessed 92,153 patient data recorded in EMR from October 1st to December 31st, 2022. The findings indicated that over 92% of social demographic data elements were complete, and the completeness of clinical data elements ranged from 27% to 89%. The completeness of data varied markedly by departments. We recommend an exploratory study to understand further reasons associated with the completeness of data in clinical departments. [ABSTRACT FROM AUTHOR]

Mobile health applications can help to disseminate educational health interventions and be widely used. However, mobile health applications not carefully developed will likely not be adopted by the intended users. This paper describes the methodology used to develop a mobile health application for teaching critical thinking about health to youth attending youth friendly centres in Rwanda. The app includes the adapted content of a children's "health choices book". We adapted the book into audio podcasts to fit the context of young adults. The application was developed following a framework for developing mobile health applications. The framework follows three theories: health belief model, the theory of planned behavior and technology acceptance model. We developed an Android based application which can be freely accessed in the Play store. The content in the app explains the need for critical thinking, the 10 audio podcasts, the support, and chat window where users share their experience of using the app. The app will be piloted in two youth centers in Rwanda. [ABSTRACT FROM AUTHOR]

World Health Organisation (WHO) has updated the International Classification of Diseases to version 11 (ICD-11) which was recently adopted for use by countries in 2019. ICD-11 can be used in Electronic Medical Records (EMR) systems with support of extended technologies like Application Program Interface (API). Integration of ICD-11 in Rwandan EMR (OpenMRS) in two health facilities was conducted in July-October 2019. Findings indicated that adapting ICD11-API in EMR is feasible. More than 50% of diagnoses were recorded using ICD-11. Healthcare providers perceived ICD-11 API as easy to learn and useful for harmonization of diagnosis, data reporting and insurance reimbursement. Integration of ICD-11 API in EMR can be scaled up to all hospitals for use in Rwanda and other countries using similar system. [ABSTRACT FROM AUTHOR]