Healthcare data analytics is gathering data using qualitative and quantitative methods to derive insights and trends within the healthcare process that improve the overall function of healthcare organizations. Healthcare data analytics enhance diagnosis, improve patient management, understand disease spread, and better manage clinical procedures and workloads. Historical and real-time data are gathered and extracted from healthcare IT systems to analyze medical files, patient records, and test results to help improve medical practices, organizational workflows, and patient engagement.
Healthcare data analytics leverage predictive analysis, statistical modeling, data visualization, cluster analysis, complex event processing, forecasting, artificial intelligence (AI), machine learning (ML), and process automation. These generate a deeper understanding of data stored in and across healthcare technology systems. Healthcare organizations that invest in data analytics and develop an organized approach to data modeling can improve decision-making, adapt to market changes, optimize healthcare services, and advance patient health outcomes. Healthcare organizations gain a holistic understanding of clinical administration, operations, and services with the right data analytics strategy that cleanses and standardizes data sets.
Data analysts gather health data stored within health systems, information systems, and external applications and use operative methods that transform the data into understandable and presentable ways, i.e., graphs, tables, and illustrations. The organized data can optimize healthcare treatments, assist in clinical decision-making, investigate health trends, simplify business operations, and better understand patient health profiles. Data analysts work in healthcare, technology, and government sectors to identify and present data to improve health management strategies.
Data insights from healthcare analytics can improve care protocols, management practices, and patient care delivery. Examples include: