Mayo Clinic in Rochester, MN, pioneered electronic health records (EHR) in 1960. Since then, healthcare data capture, storage, and transmission have soared. Providers now generate about 137 terabytes daily, with data expanding at a 47% yearly rate. Cloud tech further streamlines handling vast datasets.
But what’s the origin of this data, and how can it reshape healthcare?
Find out the essence of big data in healthcare and its transformative potential:
What constitutes big data in healthcare? Gartner defines big data as high-volume, high-velocity, and high-variety information assets demanding innovative, cost-effective processing. Traditional storage methods can’t handle big data’s complexity, requiring agile approaches for insights, trends, and models.
Key big data sources in healthcare:
- Medical claims data (837s) sourced from clearinghouses and third-party aggregators
- Remit data (835s) sourced similarly to medical claims data
- Patient medical records primarily from hospital and provider EHRs
- Public health and consumer data, like social determinants and demographics, from varied sources
- Clinical research data, often from clinical trials
- Biometric data, commonly from healthcare testing devices
Despite digitized records and tech advancements, healthcare’s uptake of cloud-based computing has been sluggish.
Recent strides include adopting data visualization tools like Tableau and PowerBI and transitioning from on-premise servers to cloud services like Azure, AWS, and Google. Providers now invest in analytics leaders and teams outside traditional IT, which is vital for data transformation.
Harnessing big data’s potential for patient experience and access:
- Identify and define use cases to guide decision-making
- Select data sources aligned with defined use cases
- Transform and structure data for analysis
- Provide analytics and insights to address specific use cases
Claims data and analytics, for instance, offer insights into patient experience and access:
- Identify care destinations
- Establish utilization benchmarks
- Assess future healthcare demand
- Proactively identify clinical needs
- Target patients for preventive and primary care
- Benchmark access to care across specialties
Modern analytics go beyond front-end access, enabling direct data utilization and integration.
Maximizing data potential transforms healthcare delivery, meeting consumer and patient needs effectively.
Curious to delve deeper? Explore Definitive Healthcare’s platform, leveraging big data to provide powerful intelligence on healthcare market dynamics.
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