Transforming Health Payer Interoperability with Real-Time Data Streaming
Confluent
OCTOBER 3, 2023
Discover how real-time interoperability with Confluent enables healthcare payers to deliver better services to patients and providers.
Confluent
OCTOBER 3, 2023
Discover how real-time interoperability with Confluent enables healthcare payers to deliver better services to patients and providers.
Snowflake
JANUARY 25, 2024
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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Snowflake
MAY 2, 2023
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.
DataKitchen
AUGUST 19, 2021
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.
Snowflake
JUNE 14, 2023
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.
Cloudera
APRIL 20, 2022
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.
DataKitchen
MAY 4, 2023
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.
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