GAVS Technology

JUNE 24, 2024

The wearable market in healthcare is rapidly expanding as technology advances and consumer awareness increases. These devices, which range from fitness trackers to advanced sensors that monitor critical vitals like heart rate, blood glucose levels, and oxygen saturation, are revolutionizing how healthcare is delivered.

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GAVS Technology

MARCH 18, 2024

Today, the healthcare industry faces several risks of data breaches and other data security and privacy challenges. Automation in healthcare systems, digitization of patient & clinical data, and increased information transparency are translating directly into higher chances for data compromise.

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Cprime

JANUARY 30, 2024

Future of AI in Healthcare FAQs addressed in this article: How is AI transforming healthcare diagnostics? How does AI improve healthcare accessibility? How is AI enhancing operational efficiency in healthcare? What is the significance of AI in healthcare data security?

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Argon Digital

AUGUST 28, 2023

Leveraging Workflow Automation in Healthcare In the ever-evolving landscape of healthcare, efficiency and accuracy are paramount. This transformative technology has the potential to revolutionize various aspects of healthcare operations, from urgent care offices to cosmetic surgery centers and health insurance providers.

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GAVS Technology

AUGUST 31, 2021

Each interaction within the healthcare system generates critical patient data that needs to be available across hospitals, practices, or clinics. Consequently, the industry witnessed a surge in the amount of patient data collected and stored. HIMSS and Interoperability. HIMSS classifies interoperability into four levels.

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Smart Data Collective

FEBRUARY 2, 2021

This is especially true and more serious for financial and healthcare businesses handling extremely confidential information. The expenses of data breach lawsuits are often a lot more than what most small businesses can afford. In recent years, businesses have been forced to spend tens of millions of dollars in class action lawsuits.

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GAVS Technology

NOVEMBER 8, 2024

Importance of Data Governance for Regular and Synthetic Data Despite the common trend of cutting or reducing funding for data governance and archiving, companies must make data governance a core part of operations. These steps help mitigate risks associated with data security while leveraging AI technologies.

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Astera

MAY 20, 2024

This information helps ensure data quality, transparency, and accountability. This knowledge is particularly valuable in highly regulated industries, such as healthcare or banking, where data trust is essential for compliance. Why is Data Provenance Important? Why is Data Lineage Important?

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Astera

APRIL 3, 2023

Better Decision-Making Sharing data across departments enables organizations to gain a comprehensive view of their business, identify trends, and make data-driven decisions. Increased Revenue Economically speaking, data sharing reduces costs by eliminating redundancy. They can pool their knowledge and share a single copy.

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Cprime

JANUARY 23, 2024

– Generative AI significantly enhances operational efficiencies and cost savings across various industries, with a notable impact in sectors like healthcare, marketing, and legal. – Key areas for generative AI value addition in enterprises include programming, data analysis, and customer-facing applications.

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Astera

APRIL 24, 2024

Many organizations face challenges with inaccurate, inconsistent, or outdated data affecting insights and decision-making processes. The data governance framework enhances the quality and reliability of the organization’s data. It automates repetitive tasks, streamlines workflows, and improves operational efficiency.

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Astera

MARCH 30, 2023

At the fundamental level, data sharing is the process of making a set of data resources available to individuals, departments, business units or even other organizations. When data is made available to everyone, the organization risks unauthorized access and data breaches.

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Astera

MARCH 31, 2023

In today’s data-driven world, businesses rapidly generate massive amounts of data. Managing this data effectively and timely is critical for decision-making, but how can they make sense of all this data most efficiently? The answer lies in the concept of a single source of truth (SSOT).

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Data Quality Data Security Data Warehouse Monitoring 52

The Data Administration Newsletter

AUGUST 7, 2024

The Internet of Things (IoT) is changing industries by enabling real-time data collection and analysis from many connected devices. IoT applications rely heavily on real-time data streaming to drive insights and actions from smart homes and cities to industrial automation and healthcare.

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Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

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Astera

APRIL 4, 2024

Platforms can standardize product information and monitor data quality, which enhances customer trust, minimizes returns, and drives competitiveness. Healthcare Data Security: Data governance is vital to protect patient information.

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Astera

MARCH 1, 2024

Claims processing is a multi-faceted operation integral to the insurance, healthcare, and finance industries. This technology has been instrumental in streamlining operations across various industries, primarily: Healthcare: The healthcare sector often grapples with the complexity and volume of insurance claims.

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Astera

MAY 13, 2024

Government: Using regional and administrative level demographic data to guide decision-making. Healthcare: Reviewing patient data by medical condition/diagnosis, department, and hospital. Documenting the sensitivity analysis process to gain insights into the aggregated data’s reliability.

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Astera

MARCH 28, 2024

They are usually created after a company has defined its data, labeled it, identified the relevant stakeholders responsible for data security, and assigned them access roles. Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion.

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Astera

APRIL 10, 2023

From driving targeted marketing campaigns and optimizing production line logistics to helping healthcare professionals predict disease patterns, big data is powering the digital age. However, with monumental volumes of data come significant challenges, making big data integration essential in data management solutions.

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Astera

NOVEMBER 28, 2023

Importance of Data Pipelines Data pipelines are essential for the smooth, automated, and reliable management of data throughout its lifecycle. They enable organizations to derive maximum value from their data assets.

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Data Warehouse Monitoring Data Security Healthcare 52

Astera

NOVEMBER 7, 2023

Benefits of Implementing Managed File Transfer Solutions MFT solutions can significantly enhance the efficiency and performance of organizations of all sizes. Here are some key benefits of MFT: Enhanced Data Security MFT solutions employ robust encryption measures to safeguard files, minimizing the risk of data breaches.

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Astera

JANUARY 24, 2024

Modern data management relies heavily on ETL (extract, transform, load) procedures to help collect, process, and deliver data into an organization’s data warehouse. However, ETL is not the only technology that helps an enterprise leverage its data. Considering cloud-first data management?

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Argon Digital

SEPTEMBER 7, 2023

ECM tools enable users to set expiration dates for file disposal or archiving, ideal for industries like healthcare or legal, where document retention over extended periods is crucial. Discover the power of Enterprise Content Management solutions for your business today!

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Astera

APRIL 3, 2023

AI-driven document data extraction tools can expedite this process by automatically identifying and extracting relevant data, significantly reducing the time and effort required to complete compliance reporting. Additionally, regulatory requirements may change over time, necessitating adjustments to data management processes.

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Whizlabs

APRIL 19, 2021

He is a globally recognized thought leader in IoT, Cloud Data Security, Health Tech, Digital Health and many more. Arvind Sivaramakrishnan – Chief Information Officer, Enterprise Digital Transformation Expert, Digital Technologies Expert, Management Consultant. Primary domains of expertise for Arvind is Healthcare IT.

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Astera

SEPTEMBER 20, 2024

A cloud database operates within the expansive infrastructure of providers like AWS, Microsoft Azure, or Google Cloud, utilizing their global network of data centers equipped with high-performance servers and storage systems. They are based on a table-based schema, which organizes data into rows and columns.

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Astera

AUGUST 5, 2024

BI focuses on understanding past and current data for operational insights, while business analytics leverages advanced techniques to forecast future scenarios and guide data-driven decision-making. Security and Compliance: Ensure the tool meets industry standards and requirements for data security, privacy, and compliance.

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Astera

APRIL 24, 2024

Business analysts, data scientists, IT professionals, and decision-makers across various industries rely on data aggregation tools to gather and analyze data. Essentially, any organization aiming to leverage data for competitive advantage will benefit from data aggregation tools. It has a collapse command feature.

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Astera

JANUARY 12, 2024

It ensures that data from different departments, like patient records, lab results, and billing, can be securely collected and accessed when needed. Selecting the right data architecture depends on the specific needs of a business. Data Quality Emphasizes strong data quality assurance practices.

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Insight Software

MAY 1, 2023

By Industry Businesses from many industries use embedded analytics to make sense of their data. In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future.

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Analysts Corner

NOVEMBER 18, 2024

This means not only do we analyze existing data, but we can also create synthetic datasets. Imagine needing to train a model but lacking sufficient data? Data security and potential pitfalls like data poisoning should be priorities for anyone working in analytics. Generative AI can fill that gap.

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