Augmented Analytics in Healthcare BI Platforms: From Dashboards to Decision Automation

Augmented Analytics (AA) is bringing significant changes to the world of healthcare BI by integrating technologies such as natural language processing, machine learning and anomaly detection into analytics systems. As a result, professionals in healthcare organizations can see new insights, automatically produce reports and act on data faster, not needing to be experts in data science. This paper studies the tools that power AA, considers how healthcare organizations are managed in their use and looks at why adoption is influenced by human factors. By analyzing specific cases and using charts, we show how AA advances the efficiency of day-to-day tasks, clinical decision-making and highlevel planning. The study’s outcomes indicate that AA makes a major difference throughout the healthcare sector. DOI: https://doi.org/10.17762/ijisae.v12i22s.7769