To address their current data management challenges, healthcare organizations need to modernize their architecture.
Healthcare organizations collect data from so many disparate sources. There’s data coming from payer records, health information exchanges, federal and state health and human services agencies, hospitals, medical devices, wearables, and more.
In 2020 alone, healthcare organizations handled a projected 2,314 exabytes of data — the equivalent of nearly 570 trillion MP3 files. Currently, the healthcare industry generates about 30% of the world’s data volume. By 2025, this figure is expected to grow to 36%.
But with more data comes more complexity. Healthcare organizations often have limited visibility into the data coming into and out of their environment. Big data is also volatile. It changes constantly, leading to challenges for organizations that don’t constantly monitor their assets. Another challenge is that most healthcare data isn’t at all connected, which creates issues with duplication, accuracy, integrity, and lack of data ownership and prevents healthcare organizations from transforming data into actionable insights that drive operational efficiencies and better patient outcomes.
To overcome these challenges, healthcare organizations must modernize their IT architecture to harness the full power of data. Transforming their architecture with a decentralized data mesh is one way these organizations can effectively address their current data analytics and management challenges — and make data a true strategic asset to improve business and patient outcomes.