Healthcare organizations generate millions of pieces of data, and clinicians’ need to pull meaningful insights from that data as it continues to increase. That’s where data engineers come in. They can design tools to expedite a broad array of processes and help health system leaders improve efficiency, patient safety and healthcare delivery.
Data engineering solutions rapidly process huge volumes of data generated from complex inputs, such as on-premises software and cloud-based computing, while optimizing systems such as XML, JASON, API Call, HL7 and Parquet to facilitate the organization, analysis and HIPAA-secured sharing of patient data. In addition to collecting this information, data engineers standardize and improve data quality, and integrate the aggregate data to produce meaningful insights that can enhance a hospital’s clinical and operational performance.
While many organizations will focus their analysis primarily on federally required compliance and patient safety, data can also be deployed to identify trends in the population, improve the quality of care, lower the cost of services, predict case volume and staffing needs, and drive institutional decision-making. Data analysis can also be useful in determining appropriate inventory levels, forecasting medical supply demands and reducing supply chain costs. In the dynamic and competitive healthcare marketplace, effective data utilization can be the differentiating factor in successful strategic plans across all healthcare functions.
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