AI, machine learning and data science have great potential value in a variety of healthcare use cases, none more so than anomaly detection. From readmission prediction to fraud, accurate, fast anomaly detection is necessary in order to provide a high standard of care and protect the finite resources available to do so.
Establishing a firm understanding of what data science, machine learning, and AI technologies can bring to anomaly detection use cases in healthcare today is a first step to making headway in these areas.
This whitepaper explores fraud detection as a use case for anomaly detection systems in healthcare, identifying what anomaly and fraud detection are, how they work, and when healthcare organisations can apply them.
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