Blog Data Requirement Healthcare 
Smart Data Collective
NOVEMBER 20, 2022
Data center compliance can mean the difference between passing an audit and getting entangled in litigation. Security is also an essential consideration for data centers. For example, healthcare providers who handle sensitive patient data require data centers that are explicitly HIPAA-compliant.
Astera
FEBRUARY 22, 2023
The critical importance of healthcare data interoperability cannot be stressed enough. Without healthcare interoperability, healthcare providers may not have access to a patient’s complete medical history, leading to inaccurate diagnoses. Therefore, healthcare interoperability standards were introduced.
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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.
Sisense
AUGUST 14, 2020
Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage. .
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).
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. Part 2: Development If “ Data is the Bacon of Business ” (TM), then customer reporting is the Wendy’s Baconator.
The BAWorld
NOVEMBER 24, 2023
DA is essential in scientific research, healthcare, finance, and a variety of other industries, allowing scientists to solve puzzles, improve medical care, and develop novel technology. As the volume and complexity of data increase, DA will become increasingly important in managing the digital age’s difficulties and opportunities.
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