Data Requirement Documentation Healthcare 
Astera
JUNE 14, 2023
What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.
Astera
AUGUST 22, 2023
Due to the growing volume of data and the necessity for real-time data exchange, effective management of data has grown increasingly important for businesses. As healthcare organizations are adapting to this change, Electronic Data Interchange (EDI) is emerging as a transformational solution.
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Juice Analytics
MARCH 11, 2021
One of our clients has data on the learning activities of more than 60% of all healthcare workers. But before getting down to designing the data product, you'll want to get the right people in place. Integration — Connections with other software systems to integrate with data and enable operational actions.
Astera
MAY 19, 2024
Electronic Data Interchange (EDI) is a popular communication method that enterprises use to exchange information accurately and quickly with trading partners. EDI transmits data almost instantaneously — serving as a fast and efficient mode for exchanging business documents. 850 for purchase orders).
GAVS Technology
NOVEMBER 5, 2024
Human Error: Mistakes such as accidental data sharing or configuration errors that unintentionally expose data, requiring corrective actions to mitigate impacts. Data Theft: Unauthorized acquisition of sensitive information through physical theft (e.g., stolen devices) or digital theft (hacking into systems).
Astera
MARCH 26, 2023
Common Data Management Challenges in the Insurance Industry Data trapped in Unstructured sources Managing the sheer volume of data scattered across various unstructured sources is one of the top data management challenges in the insurance industry. These PDFs may vary in format and layout.
Astera
MAY 11, 2023
An integral part of this process is data extraction, which involves collecting data from multiple sources and transforming it into a usable format. Traditionally, data extraction is performed manually, which involves hand-keying data from different sources and formats, such as spreadsheets, websites, and documents.
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