Biomedical data analytics for better patient outcomes

•Medical professionals today benefit from vast amounts of data, empowering them to enhance patient care and treatment effectiveness through informed decision-making.•By leveraging innovative strategies in biomedical data analytics, health care can be improved globally by closing the gap between clinical practice and medical research, leading to more-effective patient outcomes.•This scoping review delves into methods, data sources, challenges and advancements in biomedical data analytics, focusing on techniques, data sources and obstacles to better understand and improve patient outcomes.•The study highlights diverse disease-specific applications of data analytics while addressing crucial challenges such as data quality and ethics. It emphasizes the importance of collaboration, innovation and addressing gaps for successful implementation at the intersection of biomedical science and data analytics. Medical professionals today have access to immense amounts of data, which enables them to make decisions that enhance patient care and treatment efficacy. This innovative strategy can improve global health care by bridging the divide between clinical practice and medical research. This paper reviews biomedical developments aimed at improving patient outcomes by addressing three main questions regarding techniques, data sources and challenges. The review includes peer-reviewed articles from 2018 to 2023, found via systematic searches in PubMed, Scopus and Google Scholar. The results show diverse disease-specific applications. Challenges such as data quality and ethics are discussed, underscoring data analytics’ potential for patient-focused health care. The review concludes that successful implementation requires addressing gaps, collaboration and innovation in biomedical science and data analytics.