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Transforming Health Payer Interoperability with Real-Time Data Streaming

Confluent

Discover how real-time interoperability with Confluent enables healthcare payers to deliver better services to patients and providers.

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Top 3 Healthcare and Life Sciences Data + AI Predictions for 2024

Snowflake

Generative AI could help improve operational efficiency for healthcare payers and providers The immense pressures COVID-19 put on the healthcare system and its lasting impacts are requiring payers and providers to meet patients’ needs more quickly and effectively across the entire healthcare ecosystem.

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New Survey Reveals Healthcare Interoperability Challenges Across the Industry

Snowflake

And payers or insurers may want to see all inpatient, outpatient, pharmacy, and enrollment data in one place to help improve and speed up decision making processes. But perspectives about data sharing across the industry are changing, driven in large part by the recent pandemic.

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Implementing a Pharma Data Mesh using DataOps

DataKitchen

It then gets used by the physician and payer data warehouses which are eventually used by the self-service teams. We would not want the physician data set in the physician domain and the payer domain to drift apart or get “out of sync,” which might happen if they are updated on different iteration cadences.

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Komodo Health Achieves 15% in Cost Savings with Snowflake

Snowflake

Komodo Health is a technology platform company creating the new standard for real-world data and analytics by pairing the industry’s most complete view of patient encounters with enterprise software and machine learning that connects the dots between individual patient journeys and large-scale health outcomes.

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The Sprint towards Digital Healthcare

Cloudera

As healthcare providers and insurers /payers worked through mass amounts of new data, our health insurance practice was there to help. The pandemic changed our healthcare behaviors. Planned hospital and doctor visits were reduced while telemedicine, for physical and mental health, increased.

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Webinar Summary: Data Mesh and Data Products

DataKitchen

Domains, such as a payer domain, a physician domain, and an NPP or non-personal promotion domain, separate these data sets. To address this, Bergh suggested using mastered data sets, small files that are in and of themselves a thing. There are also integrated data sets, raw data that comes in, and in some cases, facts or dimensions.