The role of artificial intelligence in healthcare: a structured literature review

BACKGROUND/INTRODUCTION: Artificial intelligence (AI) in the healthcare sector is receiving attention from researchers and health professionals. Few previous studies have investigated this topic from a multi-disciplinary perspective, including accounting, business and management, decision sciences and health professions. METHODS: The structured literature review with its reliable and replicable research protocol allowed the researchers to extract 288 peer-reviewed papers from Scopus. The authors used qualitative and quantitative variables to analyse authors, journals, keywords, and collaboration networks among researchers. Additionally, the paper benefited from the Bibliometrix R software package. RESULTS: The investigation showed that the literature in this field is emerging. It focuses on health services management, predictive medicine, patient data and diagnostics, and clinical decision-making. The United States, China, and the United Kingdom contributed the highest number of studies. Keyword analysis revealed that AI can support physicians in making a diagnosis, predicting the spread of diseases and customising treatment paths. CONCLUSIONS: The literature reveals several AI applications for health services and a stream of research that has not fully been covered. For instance, AI projects require skills and data quality awareness for data-intensive analysis and knowledge-based management. Insights can help researchers and health professionals understand and address future research on AI in the healthcare field

A snapshot of data quality issues in Indonesian community health

Healthcare services in Indonesia remain 'poor' by international standards. At the heart of the problem are systemic data quality issues. Little work has been done on health data quality in rural settings in this region. In this work, an exploratory study of data quality within a health centre (HC) in rural Indonesia is carried out with reference to two well-known sets of qualitative data quality measures AIMQ and PRISM. The research aims first to uncover data quality issues within a typical health facility in rural Indonesia, and second to discover whether these problems relate to operational issues. The research uses an inductive, qualitative case study approach using the following methodology. Key data quality issues are identified in the literature; these are used as a framework from which to develop seed questions for data collection via semi structured interviews. The full interview transcripts are analysed manually and using the text mining software Leximancer. Issues relating to data validation and integration are identified. Suggestions are put forward for development action both locally and nationally. This work provides a snapshot of the state of play in a typical rural health facility in Indonesia

A snapshot of data quality issues in Indonesian community health

Healthcare services in Indonesia remain 'poor' by international standards. At the heart of the problem are systemic data quality issues. Little work has been done on health data quality in rural settings in this region. In this work, an exploratory study of data quality within a health centre (HC) in rural Indonesia is carried out with reference to two well-known sets of qualitative data quality measures AIMQ and PRISM. The research aims first to uncover data quality issues within a typical health facility in rural Indonesia, and second to discover whether these problems relate to operational issues. The research uses an inductive, qualitative case study approach using the following methodology. Key data quality issues are identified in the literature; these are used as a framework from which to develop seed questions for data collection via semi structured interviews. The full interview transcripts are analysed manually and using the text mining software Leximancer. Issues relating to data validation and integration are identified. Suggestions are put forward for development action both locally and nationally. This work provides a snapshot of the state of play in a typical rural health facility in Indonesia