Data analytics is the process of analyzing raw data for the purpose of determining trends and enabling better decision making. It is relevant to all types of organizations. In health care it is vital. This interesting and important topic came to us from Healthcare in their article, “How healthcare analytics tools enhance quality care.“
By leveraging data analytics, healthcare providers can gain insights into patient populations, treatment effectiveness, and patient outcomes. Analyzing large volumes of data can help identify patterns, trends, and risk factors, enabling healthcare professionals to make more informed decisions and tailor treatments to individual patients. Data analytics can contribute to better diagnoses, personalized care plans, and ultimately improve patient outcomes.
Data analytics can also lower costs for health care organizations and boost business intelligence. Most importantly, it helps health care companies to make better care decisions for patients.
Within a value-based care model, several teams must work together to coordinate and target patient diagnoses. However, disparate data and growing caseloads make the task of care management burdensome. Leveraging healthcare analytics tools can not only relieve some of the management burdens but also maximize patient impact.
At the end of the day, data needs to be accessible, and that happens with a strong, standards-based taxonomy. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies and associated rule bases for machine-assisted indexing.
Melody K. Smith
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