DataOps Reshaping the Healthcare Industry

Fremont, CA: The COVID-19 outbreak and the challenges that came with it, such as ensuring the effective distribution of oxygen and medicines, are excellent examples of why healthcare organizations require a predictive and prescriptive data management system. This is where DataOps, a system for viewing data from the perspectives of people, processes, and technology, comes in handy. DataOps is a process of agile data integration that concentrates on improved collaboration and automating data flows to give significant access to data and insights to numerous functions within an organization.

While implementing a DataOps strategy for an organization, it is important to consider the following four aspects:

Improving Data Accessibility: A critical aspect of implementing DataOps is ensuring that the updated data is real-time and available to all relevant roles within the system. The use of open, cloud-based architecture and data management platforms capable of continuous data integration aids in improving operational efficacy. The majority of medical data is still stored in the old HL7 format in many organizations.