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This narrative review discusses the use of administrative data in healthcare decision-making, highlighting its extensive application in high-income countries (HICs) while noting its scarcity in low- and middle-income countries (LMICs). The review identifies five primary uses of administrative data, including disease epidemiology and healthcare evaluation, and emphasizes the underutilization of advanced analytical methods like machine learning in LMICs. The authors call attention to the gaps in data science

Author

ujiklinikipvngoerah

Language

EN