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Data analysis is the practice of working with data to glean useful information, which can then be used to make informed decisions. Extracting meaning from data empowers us to make better decisions. And were living in a time when we have more data than ever at our fingertips.
Health information management (HIM) ensures the secure, precise handling and analysis of patient health data. It encompasses coding, informatics, data analytics and governance, playing a pivotal role in patient safety and informed healthcare decision-making.
Clinical data analytics encompasses the analysis of data collected during clinical care processes, including patient interactions, medical procedures and healthcare interventions. The idea is to spot patterns that could improve clinical workflows.
4 Types of Healthcare Analytics to Use in Your Practice Descriptive. Diagnostic. Predictive. Prescriptive.
A: Health data analytics refers to the analysis of the data using quantitative and qualitative techniques to be able to explore trends and patterns in the data to acquire, manage, analyze, interpret and transform data into accurate, consistent and timely information.
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